A REVIEW ON MPPT ALGORITHMS FOR SOLAR PV SYSTEMS
DOI:
https://doi.org/10.29121/granthaalayah.v11.i3.2023.5086Keywords:
Solar Energy, Photovoltaic, MPPT, Conventional Algorithms, Evolutionary Algorithms, Hybrid AlgorithmsAbstract [English]
In past few decades, solar energy plays a vital role in energy production among the different renewable energy resources. In shaded/unshaded photovoltaic (PV) systems, tracking of maximum power under different environmental conditions is provided by maximum power point tracking (MPPT). In recent years many works available on different types of MPPT techniques to track maximum power from PV systems with own pros and cons. This article comprehensively reviews the different traditional methods like perturb and observation (P&O), open circuit voltage (OCV), short circuit current (SCC), hill climbing (HC), incremental conductance (IC). Also recall the advanced MPPT techniques like particle swarm optimization (PSO), grey wolf optimization (GWO), cuckoo search (CS), artificial neural networks (ANN), fuzzy logic controller (FLC) available in literature. This review is conducted based on implementation, accuracy, tracking speed, cost, merits, and demerits of each technique. Traditional MPPT methods can’t able to track global maximum power point under partial shaded conditions and exhibits less efficiency when compared with advanced soft computing methods. Hybrid methods provide good efficiency and performance than traditional and advanced methods. Authors powerfully confirm that this article offers convenient information’s to enthusiastic engineers and new researchers those who are all working in solar PV systems.
Downloads
References
Abderrahim, Z., Eddine, H. K., and Sabir, M. (2021). A New Improved Variable Step Size MPPT Methods for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller. Journal Europeen Des Systems Automatises, 54(1), 175-185. https://doi.org/10.18280/jesa.540120. DOI: https://doi.org/10.18280/jesa.540120
Abdulkadir, M., Yatim, A. H. M., and Yusuf, S. T. (2014). An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems. International Journal of Photoenergy, 1-11. https://doi.org/10.1155/2014/818232. DOI: https://doi.org/10.1155/2014/818232
Afghan, S.A., Almusawi, H, and Geza, H, Simulating the Electrical Characteristics of A Photovoltaic Cell Based on a Single-Diode Equivalent Circuit Model. (2017). MATEC Web of Conferences, 126, 03002. https://doi.org/10.1051/matecconf/201712603002. DOI: https://doi.org/10.1051/matecconf/201712603002
Ahmad, J. (2010). A Fractional Open Circuit Voltage Based Maximum Power Point Tracker for Photovoltaic Arrays, 2nd International Conference on Software Technology and Engineering. https://doi.org/10.1109/ICSTE.2010.5608868. DOI: https://doi.org/10.1109/ICSTE.2010.5608868
Ahmed, J., and Salam, Z. (2018). An Enhanced Adaptive P&O MPPT For Fast and Efficient Tracking Under Varying Environmental Conditions. IEEE Transactions on Sustainable Energy, 9(3), 1487-1496. https://doi.org/10.1109/tste.2018.2791968. DOI: https://doi.org/10.1109/TSTE.2018.2791968
Aljafari, B., Satpathy, P. R., Madeti, S. R. K., Vishnuram, P., and Thanikanti, S. B. (2022). Reliability Enhancement of Photovoltaic Systems Under Partial Shading Through A Two-Step Module Placement Approach. Energies, 15(20), 7766. https://doi.org/10.3390/en15207766. DOI: https://doi.org/10.3390/en15207766
Aljafari, B., Satpathy, P. R.,And Thanikanti, S. B. (2022). Partial Shading Mitigation In PV Arrays Through Dragonfly Algorithm Based Dynamic Reconfiguration. Energy, 257, 124795. https://doi.org/10.1016/j.energy.2022.124795. DOI: https://doi.org/10.1016/j.energy.2022.124795
Alkhawaldeh, L., and Bhuiya, M. (2021). A, Eid, M, and Youssef, M. Z, "An Enhanced EPP-MPPT Algorithm With Modified Control Technique In Solar-Based Inverter Applications: Analysis and Experimentation". IEEE Access, 9, 8158-8166. https://doi.org/10.1109/access.2021.3049517. DOI: https://doi.org/10.1109/ACCESS.2021.3049517
Anowar, M. H., and Roy, P. (2019). A Modified Incremental Conductance Based Photovoltaic MPPT Charge Controller. Shang, International Conference on Electrical, Computer and Communication Engineering (ECCE). https://doi.org/10.1109/ECACE.2019.8679308. DOI: https://doi.org/10.1109/ECACE.2019.8679308
Atici, K., Sefa, I., and Altin, N. (2019). Grey Wolf Optimization Based MPPT Algorithm for Solar PV System With SEPIC Converter, 4th International Conference On Power Electronics and Their Applications (ICPEA). https://doi.org/10.1109/icpea1.2019.8911159. DOI: https://doi.org/10.1109/ICPEA1.2019.8911159
Baba, A. O., Liu, G., and Chen, X. (2020). Classification and Evaluation Review of Maximum Power Point Tracking Methods. Sustainable Futures, 2, 100020. https://doi.org/10.1016/j.sftr.2020.100020. DOI: https://doi.org/10.1016/j.sftr.2020.100020
Babaa, S. E., Armstrong, M., and Pickert, V. (2014). Overview of Maximum Powerpoint Tracking Control Methods For PV Systems. Journal of Power and Energy Engineering, 2, 59-72. https://doi.org/10.4236/jpee.2014.28006. DOI: https://doi.org/10.4236/jpee.2014.28006
Bahari, M. I., Tarassodi, P., Naeini, Y. M., Khalilabad, A. K., and Shirazi, P. (2016). Modeling and Simulation of Hill Climbing MPPT Algorithm for Photovoltaic Application, International Symposium on Power Electronics, Electrical Drives, Automation and Motion. https://doi.org/10.1109/SPEEDAM.2016.7525990. DOI: https://doi.org/10.1109/SPEEDAM.2016.7525990
Baimel, D., Tapuchi, S., Levron, Y., and Belikov, J. (2019). Improved Fractional Open Circuit Voltage MPPT Methods for PV Systems. Electronics, 8(3), 321. https://doi.org/10.3390/electronics8030321. DOI: https://doi.org/10.3390/electronics8030321
Baroi, S., and Sarker, P. (2017). C, and Baroi, S. An Improved MPPT Technique - Alternative to Fractional Open Circuit Voltage Method 2nd International Conference on Electrical Y Electronic Engineering (ICEEE). https://doi.org/10.1109/ceee.2017.8412909. DOI: https://doi.org/10.1109/CEEE.2017.8412909
Bharath, K. R., and Suresh, E. (2017). Design and Implementation of Improved Fractional Open Circuit Voltage Based Maximum Powerpoint Tracking Algorithm for Photovoltaic Applications. International Journal of Renewable Energy Research, 7(3).
Ćalasan, J., Rubežić, M., and Đukanovic. (2019). Estimation of Single-Diode and Two-Diode Solar Cell Parameters By Using A Chaotic Optimization Approach. Energies, 12(21), 4209. https://doi.org/10.3390/en12214209. DOI: https://doi.org/10.3390/en12214209
Canny, D., and Yusivar, F. (2018). Maximum Power Point Tracking (MPPT) Algorithm Simulation Based on Fuzzy Logic Controller on Solar Cell With Boost Converter, 2nd International Conference on Smart Grid and Smart Cities (ICSGSC). https://doi.org/10.1109/ICSGSC.2018.8541325. DOI: https://doi.org/10.1109/ICSGSC.2018.8541325
Chen, Z., Lin, Y., Wu, L., Cheng, S., and Lin, P. (2020). Development of a Capacitor Charging Based Quick I-V Curve Tracer With Automatic Parameter Extraction for Photovoltaic Arrays. Energy Conversion and Management, 226, 113521. https://doi.org/10.1016/j.enconman.2020.113521. DOI: https://doi.org/10.1016/j.enconman.2020.113521
Cherukuri, S. K., and Rayapudi, S. R. (2017). Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition. International Journal of Renewable Energy Development, 6(3), 203. https://doi.org/10.14710/ijred.6.3.203-212. DOI: https://doi.org/10.14710/ijred.6.3.203-212
Chitrakala, G., Stalin, N., and Mohan, V. (2018). A Segmented Ladder Structured Multilevel Inverter for Switch Count Remission and Dual-Mode Savvy. Journal of Circuits, Systems and Computers, 27(14), 1850223. https://doi.org/10.1142/S0218126618502237. DOI: https://doi.org/10.1142/S0218126618502237
Chitrakala, G., Stalin, N.,And Mohan, V. (2017). 'A Novel Programmed Low Frequency PWM Method For Performance Enhancement Of Single-Phase To Single-Phase Cycloconverter' Ciit. International Journal Of Digital Image Processing, 9(2), 39-46.
Chuang, M.-T., Liu, Y.-H., and Song-Pei, Y. (2020). A Novel Variable Step Size Incremental Conductance Method With an Adaptive Scaling Factor. Applied Sciences, 10, 5214. https://doi.org/10.3390/app10155214. DOI: https://doi.org/10.3390/app10155214
Corcau, J. I., and Dinca, L. (2019). Modeling and Analysis of a Fuzzy Type MPPT Algorithm, International Conference on Electrical Drives Y Power Electronics (EDPE). https://doi.org/10.1109/edpe.2019.8883925. DOI: https://doi.org/10.1109/EDPE.2019.8883925
Dabboussi, M., Hmidet, A., and Boubaker, O. (2020). An Efficient Fuzzy Logic MPPT Control Approach for Solar PV System : A Comparative Analysis With the Conventional Perturb and Observe Technique, 6th IEEE International Energy Conference (ENERGYCon). https://doi.org/10.1109/ENERGYCon48941.2020.9236503. DOI: https://doi.org/10.1109/ENERGYCon48941.2020.9236503
Das, P. (2016). Maximum Power Tracking Based Open Circuit Voltage Method For PV System. Energy Procedia, 90, 2-13. https://doi.org/10.1016/j.egypro.2016.11.165. DOI: https://doi.org/10.1016/j.egypro.2016.11.165
Dhivya, P., and Kumar, K. R. (2017). MPPT Based Control of Sepic Converter Using Firefly Algorithm for Solar PV System Under Partial Shaded Conditions, International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT). https://doi.org/10.1109/IGEHT.2017.8094081. DOI: https://doi.org/10.1109/IGEHT.2017.8094081
Diab, A. A. Z. (2020). MPPT of PV System Under Partial Shading Conditions Based on Hybrid Whale Optimization-Simulated Annealing Algorithm (WOSA). Green Energy and Technology, 355-378. https://doi.org/10.1007/978-3-030-05578-3_13. DOI: https://doi.org/10.1007/978-3-030-05578-3_13
Díaz Martínez, D., Trujillo Codorniu, R., Giral, R., and Vázquez Seisdedos, L. (2021). Evaluation of Particle Swarm Optimization Techniques Applied to Maximum Power Point Tracking in Photovoltaic Systems. International Journal of Circuit Theory and Applications, 49(7), 1849-1867. https://doi.org/10.1002/cta.2978. DOI: https://doi.org/10.1002/cta.2978
Ding, J., Wang, Q., Zhang, Q., Ye, Q., and Ma, Y. (2019). A Hybrid Particle Swarm Optimization-Cuckoo Search Algorithm and Its Engineering Applications. Mathematical Problems In Engineering, 1-12. https://doi.org/10.1155/2019/5213759. DOI: https://doi.org/10.1155/2019/5213759
Djalab, A., Bessous, N., Rezaoui, M. M., and Merzouk, I. (2018). Study of the Effects of Partial Shading on PV Array, International Conference on Communications and Electrical Engineering (ICCEE). https://doi.org/10.1109/CCEE.2018.8634512. DOI: https://doi.org/10.1109/CCEE.2018.8634512
Ebrahim, M. A., Osama, A., Kotb, K. M., and Bendary, F. (2019). Whale Inspired Algorithm Based MPPT Controllers for Grid-Connected Solar Photovoltaic System. Energy Procedia, 162, 77-86. https://doi.org/10.1016/j.egypro.2019.04.009. DOI: https://doi.org/10.1016/j.egypro.2019.04.009
El Dabah, M. A., El Sehiemy, R. A., Becherif, M., and Ebrahim, M. A. (2021). Parameter Estimation Of Triple Diode Photovoltaic Model Using An Artificial Ecosystem Based Optimizer. International Transactions On Electrical Energy Systems, 31(11). https://doi.org/10.1002/2050-7038.13043. DOI: https://doi.org/10.1002/2050-7038.13043
Elazab, O. S., Hasanien, H. M., Alsaidan, I., Abdelaziz, A. Y., And Muyeen, S. M. (2020). Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm. Energies, 13(2), 497. https://doi.org/10.3390/en13020497. DOI: https://doi.org/10.3390/en13020497
Elazab, O. S., Hasanien, H. M., Elgendy, M. A., and Abdeen, A. M. (2017). Whale Optimisation Algorithm for Photovoltaic Model Identification. Journal of Engineering, 13, 1906-1911. https://doi.org/10.1049/joe.2017.0662. DOI: https://doi.org/10.1049/joe.2017.0662
Enany, M. A. (2017). Cuckoo Search-Based Maximum Power Point Tracking Controller for PV Water Pumping System. Journal of Renewable and Sustainable Energy, 9(6), 063501. https://doi.org/10.1063/1.5009681. DOI: https://doi.org/10.1063/1.5009681
Fapi, C. B. N., Wira, P., Kamta, M., Badji, A., and Tchakounte, H. (2019). Real-Time Experimental Assessment of Hill Climbing MPPT Algorithm Enhanced by Estimating A Duty Cycle for PV System. International Journal of Renewable Energy Research, 9(3).
Femia, N., Petrone, G., Spagnuolo, G., and Vitelli, M. (2014). Optimizing Sampling Rate of P&O MPPT Technique 35th Annual Power Electronics Specialists Conference. IEEE Publications. (Institute of Electrical and Electronics Engineers. Cat. No. 04CH37551). https://doi.org/10.1109/pesc.2004.1355415. DOI: https://doi.org/10.1109/PESC.2004.1355415
Gomathy, S., Saravanan, S.,And Thangave, S. (2012). Design and Implementation of Maximum Powerpoint Tracking (MPPT) Algorithm or a Standalone PV System. International Journal of Scientific and Engineering Research, 3(3).
Gonzalez-Castano, C., Restrepo, C., Kouro, S., and Rodriguez, J. (2021). MPPT Algorithm Based on Artificial Bee Colony for PV System. IEEE Access, 9, 43121-43133. DOI: https://doi.org/10.1109/ACCESS.2021.3066281
Goswami, A., and Kumar Sadhu, P. (2020). Stochastic Firefly Algorithm Enabled Fast Charging of Solar Hybrid Electric Vehicles. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2020.08.016. DOI: https://doi.org/10.1016/j.asej.2020.08.016
Gude, S., Jana, K. C., Laudani, A., and Thanikanti, S. B. (2022). Parameter Extraction of Photovoltaic Cell Based on a Multi-Objective Approach Using Nondominated Sorting Cuckoo Search Optimization. Solar Energy, 239, 359-374. https://doi.org/10.1016/j.solener.2022.05.007. DOI: https://doi.org/10.1016/j.solener.2022.05.007
Guo, L., H., and Zhu, W. (2020). An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm. Protection and Control of Modern Power Systems, 5(1). https://doi.org/10.1186/s41601-020-00161-z.
Hassan, S., Abdelmajid, B., and Mourad, Z. (2017). Sahel Aicha4, Baghdād Abdenaceur5, An Advanced MPPT Based on Artificial Bee Colony Algorithm for MPPT Photovoltaic System Under Partial Shading Condition. International Journal of Power Electronics and Drive Systems (IJPEDS), 8(2), 647-653. https://doi.org/10.11591/ijpeds.v8.i2.pp647-653. DOI: https://doi.org/10.11591/ijpeds.v8.i2.pp647-653
Helal, S. A., Ebrahim, M. A., Rady, N. M., and Salama, M. M. (2019). 'Whale Optimization Algorithm Based Optimal Mppt of Pv Power Plant (Real Case Study)' I-Manager's. Journal of Electrical Engineering, 12(3). https://doi.org/10.26634/jee.12.3.15144. DOI: https://doi.org/10.26634/jee.12.3.15144
Herbazi, R., Amechnoue, K., Khouya, A., and Louzazni, M. (2019). Investigation of Photovoltaic Output Characteristics With Iterative Methods. Procedia Manufacturing, 32, 794-801. https://doi.org/10.1016/j.promfg.2019.02.287. DOI: https://doi.org/10.1016/j.promfg.2019.02.287
Hmidet, A., Subramaniam, U., Elavarasan, R. M., Raju, K., Diaz, M., Das, N., Mehmood, K., Karthick, A., Muhibbullah, M., and Boubaker, O (2021). Design of Efficient off-Grid Solar Photovoltaic Water Pumping System Based on Improved Fractional Open Circuit Voltage MPPT Technique. International Journal Of Photoenergy, 2021, Article ID 4925433, 18. https://doi.org/10.1155/2021/4925433. DOI: https://doi.org/10.1155/2021/4925433
Hosseini, S. H., Farakhor, A.,And Khadem Haghighian, S. (2013). Novel Algorithm of MPPT for PV Array Based on Variable Step Newton-Raphson Method Through Model Predictive Control, 13th International Conference on Control., Automation and Systems (ICCAS 2013). https://doi.org/10.1109/iccas.2013.6704181. DOI: https://doi.org/10.1109/ICCAS.2013.6704181
Hu, L., Xue, F., Qin, Z., Shi, J., Qiao, W., Yang, W., and Yang, T. (2019). Sliding Mode Extremum Seeking Control Based on Improved Invasive Weed Optimization for MPPT In Wind Energy Conversion System. Applied Energy, 248, 567-575. https://doi.org/10.1016/j.apenergy.2019.04.073. DOI: https://doi.org/10.1016/j.apenergy.2019.04.073
Husain, M. A., Tariq, A., Hameed, S., Arif, M. S. B., and Jain, A. (2017). Comparative Assessment of Maximum Power Point Tracking Procedures For Photovoltaic Systems. Green Energy and Environment, 2(1), 5-17. https://doi.org/10.1016/j.gee.2016.11.001. DOI: https://doi.org/10.1016/j.gee.2016.11.001
Ibrahim, A. L. W., Fang, Z., Ameur, K., Min, D., and Shafik, M. B. (2021). Al-Muthanna G, Comparative Study of Solar PV System Performance Under Partial Shaded Condition Utilizing Different Control Approaches. Indian Journal of Science and Technology, 14(22), 1864-1893. https://doi.org/10.17485/IJST/v14i22.827. DOI: https://doi.org/10.17485/IJST/v14i22.827
Ibrahim, Ruba T., and Mohammed, Z. T. (2017). Training Recurrent Neural Networks by a Hybrid PSO-Cuckoo Search Algorithm for Problems Optimization. International Journal of Computers and Applications, 159, 32-38. https://doi.org/10.5120/ijca2017912891. DOI: https://doi.org/10.5120/ijca2017912891
Ishaque, K., Salam, Z., Amjad, M., and Mekhilef, S. (2012). An Improved Particle Swarm Optimization (PSO)-Based MPPT For PV With Reduced Steady-State Oscillation. IEEE Transactions on Power Electronics, 27(8), 3627-3638. https://doi.org/10.1109/TPEL.2012.2185713. DOI: https://doi.org/10.1109/TPEL.2012.2185713
Jately, V., Azzopardi, B., Joshi, J., Venkateswaran, V., B., Sharma, A., and Arora, S (2021). Experimental Analysis of Hill-Climbing MPPT Algorithms Under Low Irradiance Levels. Renewable and Sustainable Energy Reviews, 150, 111467. https://doi.org/10.1016/j.rser.2021.111467. DOI: https://doi.org/10.1016/j.rser.2021.111467
Jyothy, L. P. N., and Sindhu, M. R. (2018). An Artificial Neural Network Based MPPT Algorithm for Solar PV System, 4th International Conference on Electrical Energy Systems (ICEES). https://doi.org/10.1109/ICEES.2018.8443277. DOI: https://doi.org/10.1109/ICEES.2018.8443277
Kaur, N., and Jaryal, S. (2019). Cuckoo Search - An Evolutionary Optimisation Algorithm. International Journal of Scientific and Engineering Research (IJSER), 7(1), 96-99.
Khanna, V., Das, B. K., Bisht, D., Vandana, and Singh, P. K. (2015). A Three Diode Model for Industrial Solar Cells and Estimation of Solar Cell Parameters Using PSO Algorithm. Renewable Energy, 78, 105-113. https://doi.org/10.1016/j.renene.2014.12.072. DOI: https://doi.org/10.1016/j.renene.2014.12.072
Kim, E., Warner, M., and Bhattacharya, I. (2020). Adaptive Step Size Incremental Conductance Based Maximum Powerpoint Tracking (MPPT), 47th IEEE Photovoltaic Specialists Conference (PVSC). https://doi.org/10.1109/pvsc45281.2020.9300956. DOI: https://doi.org/10.1109/PVSC45281.2020.9300956
Kirubasankar, K., and Senthilkumar, A. (2015). Enhanced Extremum Seeking Maximum Powerpoint Tracking for PV System. Middle East Journal of Scientific Research, 23(6), 1035-1040.
Kjær, S. B. (2012). 'Evaluation of The "Hill Climbing' and The "Incremental Conductance" Maximum Powerpoint Trackers for Photovoltaic Power Systems. IEEE Transactions on Energy Conversion, 27(4), 922-929. DOI: https://doi.org/10.1109/TEC.2012.2218816
Koad, R. B. A., Zobaa, A. F., and El-Shahat, A. (2017). A Novel MPPT Algorithm Based on Particle Swarm Optimization for Photovoltaic Systems. IEEE Transactions on Sustainable Energy, 8(2), 468-476. https://doi.org/10.1109/tste.2016.2606421. DOI: https://doi.org/10.1109/TSTE.2016.2606421
Kraiem, H., Aymen, F., Yahya, L., Triviño, A., Alharthi, M., and Ghoneim, S. S. M. (2021). A Comparison Between Particle Swarm and Grey Wolf Optimization Algorithms for Improving The Battery Autonomy In A Photovoltaic System. Applied Sciences, 11, 7732. https://doi.org/10.3390/app11167732. DOI: https://doi.org/10.3390/app11167732
Krithiga, G., and Mohan, V. (2022). Elimination of Harmonics in Multilevel Inverter Using Multi-Group Marine Predator Algorithm-Based Enhanced RNN. International Transactions on Electrical Energy Systems, 2022, Article ID 8004425. https://doi.org/10.1155/2022/8004425. DOI: https://doi.org/10.1155/2022/8004425
Krithiga, G., Mohan, V., Chitrakala, G., and Senthilkumar, S. (2023). Optimization of Switching Angles for Selective Harmonic Elimination In Cascaded H-Bridge Multilevel Inverters Employing Artificial Intelligence Techniques - A Mini Review. International Journal of Engineering Technologies and Management Research, 10(1), 1-16. https://doi.org/10.29121/ijetmr.v10.i1.2023.1278. DOI: https://doi.org/10.29121/ijetmr.v10.i1.2023.1278
Kumar Pachauri, R., Thanikanti, S. B., Bai, J., Kumar Yadav, V., Aljafari, B., Ghosh, S.,And Haes Alhelou, H. (2022). Ancient Chinese Magic Square-Based PV Array Reconfiguration Methodology To Reduce Power Loss Under Partial Shading Conditions. Energy Conversion And Management, 253, 115148. https://doi.org/10.1016/j.enconman.2021.115148. DOI: https://doi.org/10.1016/j.enconman.2021.115148
Kumar, C. S., and Rao, R. S. (2016). A Novel Global MPP Tracking of Photovoltaic System Based on Whale Optimization Algorithm. International Journal of Renewable Energy Development, 5(3), 225-232. https://doi.org/10.14710/ijred.5.3.225-232. DOI: https://doi.org/10.14710/ijred.5.3.225-232
Kumar, R., Khandelwal, S., Upadhyay, P., and Pulipaka, S. (2019). Global Maximum Power Point Tracking Using Variable Sampling Time and P-V Curve Region Shifting Technique Along With Incremental Conductance for Partially Shaded Photovoltaic Systems. Solar Energy, 189, 151-178. https://doi.org/10.1016/j.solener.2019.07.029. DOI: https://doi.org/10.1016/j.solener.2019.07.029
Leyva, R., Alonso, C., Queinnec, I., Cid-Pastor, A., Lagrange, D., and Martinez-Salamero, L. (2006). MPPT of Photovoltaic Systems Using Extremum - Seeking Control. IEEE Transactions on Aerospace and Electronic Systems, 42(1), 249-258. https://doi.org/10.1109/taes.2006.1603420. DOI: https://doi.org/10.1109/TAES.2006.1603420
Li, H., Peng, J., Liu, W., Huang, Z., and Lin, K.-C. (2014). A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems With Stochastic Perturbations. International Journal of Photoenergy, 1-13. https://doi.org/10.1155/2014/938526. DOI: https://doi.org/10.1155/2014/938526
Li, S., Gong, W., Yan, X., Hu, C., Bai, D., Wang, L., and Gao, L. (2019). Parameter Extraction of Photovoltaic Models Using An Improved Teaching-Learning-Based Optimization. Energy Conversion and Management, 186, 293-305. https://doi.org/10.1016/j.enconman.2019.02.048. DOI: https://doi.org/10.1016/j.enconman.2019.02.048
Liu, Fangrui, Duan, Shanxu, Liu, F., Liu, B., and Kang, Y. (2008). A Variable Step Size INC MPPT Method for PV Systems. IEEE Transactions on Industrial Electronics, 55(7), 2622-2628. https://doi.org/10.1109/tie.2008.920550. DOI: https://doi.org/10.1109/TIE.2008.920550
Lyden, S., and Haque, M. E. (2016). A Comprehensive Study of the Key Parameters of the Simulated Annealing Method for Maximum Power Point Tracking in Photovoltaic Systems. IEEE Power and Energy Society General Meeting (PESGM), 1-5. https://doi.org/10.1109/PESGM.2016.7741788. DOI: https://doi.org/10.1109/PESGM.2016.7741788
Lyden, S., and Haque, M. E. (2016). A Simulated Annealing Global Maximum Powerpoint Tracking Approach For PV Modules Under Partial Shading Conditions. IEEE Transactions on Power Electronics, 31(6), 4171-4181. https://doi.org/10.1109/tpel.2015.2468592. DOI: https://doi.org/10.1109/TPEL.2015.2468592
Ma, J., Man, K. L., Ting, T. O., Zhang, N., Guan, S. U., and Wong, P. W. H. (2013). Approximate Single-Diode Photovoltaic Model for Efficienti-Vcharacteristics Estimation. Thescientificworldjournal, 2013, 230471. https://doi.org/10.1155/2013/230471. DOI: https://doi.org/10.1155/2013/230471
Maniraj, B., and Peer Fathima, A. (2020). PV Output Power Enhancement Using Whale Optimization Algorithm Under Normal and Shading Conditions. International Journal of Renewable Energy Research, 10(3).
Mao, M., Cui, L., Zhang, Q., Guo, K., Zhou, L., and Huang, H. (2020). Classification and Summarization of Solar Photovoltaic MPPT Techniques : A Review Based on Traditional and Intelligent Control Strategies. Energy Reports, 6, 1312-1327. https://doi.org/10.1016/j.egyr.2020.05.013. DOI: https://doi.org/10.1016/j.egyr.2020.05.013
Mao, M., Duan, Q., Zhang, L., Chen, H., Hu, B., and Duan, P. (2017). Maximum Power Point Tracking for Cascaded PV-Converter Modules Using Two-Stage Particle Swarm Optimization. Scientific Reports, 7(1), 9381. https://doi.org/10.1038/s41598-017-08009-7. DOI: https://doi.org/10.1038/s41598-017-08009-7
Marish Kumar, P., Dr Sharmeela, C., and Amosedinakaran, S. (2015). Simulation of Photovoltaic Cell With Single Diode Model Under Different Temperature Levels. International Journal of Applied Engineering Research, 10(32).
Mehta, H. K., Warke, H., Kukadiya, K., and Panchal, A. K. (2019). Accurate Expressions for Single-Diode-Model Solar Cell Parameterization. IEEE Journal of Photovoltaics, 9(3), 803-810. https://doi.org/10.1109/JPHOTOV.2019.2896264. DOI: https://doi.org/10.1109/JPHOTOV.2019.2896264
Mei, Q., Shan, M., Liu, L., and Guerrero, J. M. (2011). A Novel Improved Variable Step-Size Incremental-Resistance MPPT Method for PV Systems. IEEE Transactions on Industrial Electronics, 58(6), 2427-2434. https://doi.org/10.1109/tie.2010.2064275. DOI: https://doi.org/10.1109/TIE.2010.2064275
Messalti, S., Harrag, A., and Loukriz, A. (2017). A New Variable Step Size Neural Networks MPPT Controller [Review], Simulation and Hardware Implementation. Renewable and Sustainable Energy Reviews, 68, 221-233. https://doi.org/10.1016/j.rser.2016.09.131. DOI: https://doi.org/10.1016/j.rser.2016.09.131
Mirjalili, S., and Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51-67. https://doi.org/10.1016/j.advengsoft.2016.01.008. DOI: https://doi.org/10.1016/j.advengsoft.2016.01.008
Mohammed, F. A., Bahgat, M. E., Elmasry, S. S. Et Al. (2022). Design of A Maximum Power Point Tracking-Based PID Controller For DC Converter of Stand-Alone PV System. Journal of Electrical Systems and Information Technology, 9, 9. https://doi.org/10.1186/s43067-022-00050-5. DOI: https://doi.org/10.1186/s43067-022-00050-5
Mohan, V., and Senthilkumar, S. (2022). Iot Based Fault Identification in Solar Photovoltaic Systems Using an Extreme Learning Machine Technique. Journal of Intelligent and Fuzzy Systems, Vol. Pre-Press, Issue. Pre-Press, 43(3), 2022. https://doi.org/10.3233/JIFS-220012. DOI: https://doi.org/10.3233/JIFS-220012
Mohan, V., Chitrakala, G., and Stalin, N. (2017). A Low Frequency PWM Based Multilevel DC-Link Inverter With Cascaded Sources. Asian Journal of Research in Social Sciences and Humanities, 7(1), 686-697. https://doi.org/10.5958/2249-7315.2016.01401.5. DOI: https://doi.org/10.5958/2249-7315.2016.01401.5
Mohanty, M., Koodalsamy, S. S. C., and Simon, S. (2019). Global Maximum Operating Point Tracking for PV System Using Fast Convergence Firefly Algorithm. Turk J. Elec Eng.And Comp Sci., 27, 4640-4658.
Mohanty, S., Subudhi, B., and Ray, P. K. (2016). A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions. IEEE Transactions on Sustainable Energy, 7(1), 181-188. https://doi.org/10.1109/TSTE.2015.2482120. DOI: https://doi.org/10.1109/TSTE.2015.2482120
Mohapatra, A., Nayak, B., Dasa, P., and Mohanty, K. B. (2017). A Review on MPPT Techniques of PV System Under Partial Shading Condition. Renewable And Sustainable Energy Reviews, 80, 854-867. https://doi.org/10.1016/j.rser.2017.05.083. DOI: https://doi.org/10.1016/j.rser.2017.05.083
Mosaad, M. I. (2019). Abed El-Raouf, M.O., Al-Ahmar, M.A., and Banakher, F. A, Maximum Powerpoint Tracking of PV System Based Cuckoo Search Algorithm; Review and Comparison. Energy Procedia, 162, 117-126. https://doi.org/10.1016/j.egypro.2019.04.013. DOI: https://doi.org/10.1016/j.egypro.2019.04.013
Motahhir, S., Chouder, A., Hammoumi, A. E., Benyoucef, A. S., Ghzizal, A. E., Kichou, S., and Silvestre, S. (2020). Optimal Energy Harvesting from a Multistrings PV Generator Based on Artificial Bee Colony Algorithm. IEEE Systems Journal, 15(3), 4137-4144. https://doi.org/10.1109/jsyst.2020.2997744. DOI: https://doi.org/10.1109/JSYST.2020.2997744
Motahhir, S., El Ghzizal, A., Sebti, S., and Derouich, A. (2018). Modeling of Photovoltaic System With Modified Incremental Conductance Algorithm For Fast Changes of Irradiance. International Journal of Photoenergy, 1-13. https://doi.org/10.1155/2018/3286479. DOI: https://doi.org/10.1155/2018/3286479
Motahhir, S., El Hammoumi, A., and El Ghzizal, A. (2019). The Most Used MPPT Algorithms: Review and the Suitable Low-Cost Embedded Board for Each Algorithm. Journal of Cleaner Production, 118983. https://doi.org/10.1016/j.jclepro.2019.118983. DOI: https://doi.org/10.1016/j.jclepro.2019.118983
Nathangashree, D., Ramachandran, L., Senthilkumar, S., and Lakshmirekha, R. (2016). PLC Based Smart Monitoring System for Photovoltaic Panel Using GSM Technology. International Journal of Advanced Research In Electronics and Communication Engineering, 5(2), 251-255.
Nayak, B. K., Mohapatra, A., and Misra, B. (2012). Non Linear I-V Curve of PV Module : Impacts on MPPT and Parameters Estimation. International Journal of Engineering Research and Technology, 1(8).
Ndi, F. E., Perabi, S. N., Ndjakomo, S. E., Ondoua Abessolo, G., and Mengounou Mengata, G. (2021). Estimation of Single-Diode and Two Diode Solar Cell Parameters by Equilibrium Optimizer Method. Energy Reports, 7, 4761-4768. https://doi.org/10.1016/j.egyr.2021.07.025. DOI: https://doi.org/10.1016/j.egyr.2021.07.025
Nishat, M. M., Faisal, F., Ashraful Hoque, Md., Evan, A. J., Moshiour Rahaman, Md., Sadman Sifat, Md., and Fazle Rabbi, H. M. (2019). Stability Analysis and Optimization of Simulated Annealing (SA) Algorithm Based PID Controller for DC-DC SEPIC Converter. IJCSNS International Journal of Computer Science And Network Security, 19(9).
Nugraha, D. A., Lian, K. L., and Suwarno (2019). A Novel MPPT Method Based on Cuckoo Search Algorithm and Golden Section Search Algorithm for Partially Shaded PV System. Canadian Journal of Electrical and Computer Engineering, 42(3), 173-182. https://doi.org/10.1109/CJECE.2019.2914723. DOI: https://doi.org/10.1109/CJECE.2019.2914723
Nzoundja Fapi, C. B., Wira, P., and Kamta, M. A. (2018). Fuzzy Logic MPPT Algorithm With A PI Controller for a Standalone PV System Under Variable Weather and Load Conditions, International Conference on Applied Smart Systems (ICASS). https://doi.org/10.1109/icass.2018.8652047. DOI: https://doi.org/10.1109/ICASS.2018.8652047
Obukhov, S., Ibrahim, A., and Zaki Diab, A. (2020). A, Al-Sumaiti, A. S, and Aboelsaud, R, Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers For Stand-Alone PV System Under Partial Shading Conditions. IEEE Access, 8, 20770-20785. https://doi.org/10.1109/access.2020.2966430. DOI: https://doi.org/10.1109/ACCESS.2020.2966430
Ocran, T. A., Cao, J., Cao, B., and Sun, X. (2005). Artificial Neural Network Maximum Power Point Tracker for Solar Electric Vehicle. Tsinghua Science and Technology, 10(2), 204-208. https://doi.org/10.1016/S1007-0214(05)70055-9. DOI: https://doi.org/10.1016/S1007-0214(05)70055-9
Palupi, L. N., Winarno, T., Pracoyo, A., and Ardhenta, L. (2020). Adaptive Voltage Control for MPPT-Firefly Algorithm Output in PV System. IOP Conference Series: Materials Science and Engineering, 732, 012048. https://doi.org/10.1088/1757-899X/732/1/012048. DOI: https://doi.org/10.1088/1757-899X/732/1/012048
Park, H., Kim, Y.-J., and Kim, H. (2016). PV Cell Model by Single-Diode Electrical Equivalent Circuit. Journal of Electrical Engineering and Technology, 11(5), 1323-1331. https://doi.org/10.5370/JEET.2016.11.5.1323. DOI: https://doi.org/10.5370/JEET.2016.11.5.1323
Patel, A. (2013). Perturb and Observe Maximum Powerpoint Tracking For Photovoltaic Cell. Innovative Systems Design and Engineering, 4(6).
Pathy, Subramani, Sridhar, Thentral, T., and Padmanaban. (2019). Nature-Inspired MPPT Algorithms for Partially Shaded PV Systems: A Comparative Study. Energies, 12(8), 1451. https://doi.org/10.3390/en12081451. DOI: https://doi.org/10.3390/en12081451
Pereira, T. A., Schmitz, L., Dos Santos, W. M., Martins, D. C., and Coelho, R. F. (2021). Design of a Portable Photovoltaic I-V Curve Tracer Based on The DC-DC Converter Method. IEEE Journal of Photovoltaics, 11(2), 552-560. https://doi.org/10.1109/JPHOTOV.2021.3049903. DOI: https://doi.org/10.1109/JPHOTOV.2021.3049903
Piccirillo, V., Balthazar, J. M., Pontes, B. R., and Felix, J. L. P. (2009). Chaos Control of a Nonlinear Oscillator With Shape Memory Alloy Using an Optimal Linear Control : Part II : Nonideal Energy Source. Nonlinear Dynamics, 56(3), 243-253. https://doi.org/10.1007/s11071-008-9396-5. DOI: https://doi.org/10.1007/s11071-008-9396-5
Prajapati, P. P., and Shah, M. V. (2018). Performance Estimation of Differential Evolution, Particle Swarm Optimization and Cuckoo Search Algorithms. International Journal of Intelligent Systems and Applications, 10(6), 59-67. https://doi.org/10.5815/ijisa.2018.06.07. DOI: https://doi.org/10.5815/ijisa.2018.06.07
Prakash, S. B., Singh, G., and Singh, S. (2021). Modeling and Performance Analysis of Simplified Two-Diode Model of Photovoltaic Cells. Frontiers in Physics, 9. https://doi.org/10.3389/fphy.2021.690588. DOI: https://doi.org/10.3389/fphy.2021.690588
Putri, R.I., Wibowo, S, and Rifa' I, M. (2015). Maximum Power Point Tracking for Photovoltaic Using Incremental Conductance Method, Energy Procedia, 68, 22-30. https://doi.org/10.1016/j.egypro.2015.03.228. DOI: https://doi.org/10.1016/j.egypro.2015.03.228
Qing, A., and Lee, C. K. (2010). Differential Evolution In Electromagnetics, ALO, 4, 19-42. DOI: https://doi.org/10.1007/978-3-642-12869-1_2
Rajalashmi, K., and Monisha, C.C. (2018). Maximum Powerpoint Tracking Using Ant Colony Optimization for Photovoltaic System Under Partially Shaded Conditions. International Journal of Engineering and Advanced Technology, Vol., C2(2), 8.
Rasheed, M. S.,And Shihab, S. (2020). Modelling and Parameter Extraction of PV Cell Using Single-Diode Model. Advanced Energy Conversion Materials, 1(2), 96-104. https://doi.org/10.37256/aecm.122020550. DOI: https://doi.org/10.37256/aecm.122020550
Rezk, H., Aly, M., Al-Dhaifallah, M., and Shoyama, M. (2019). Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications. IEEE Access, 7, 106427-106438. https://doi.org/10.1109/ACCESS.2019.2932694. DOI: https://doi.org/10.1109/ACCESS.2019.2932694
Rezk, H., And Abdelkareem, M. A. (2021). Optimal Parameter Identification Of Triple Diode Model For Solar Photovoltaic Panel And Cells. Energy Reports 8th International Conference On Power And Energy Systems Engineering (CPESE 2021), 8(1), 1179-1188. https://doi.org/10.1016/j.egyr.2021.11.179. DOI: https://doi.org/10.1016/j.egyr.2021.11.179
Roy, R. Baran, Rokonuzzaman, Md., Amin, N., Mishu, M. Khatun, Alahakoon, S., Rahman, S., Mithulananthan, N., Rahman, Kazi S., and Pasupuleti, M. S. J. (2021). A Omparative Performance Analysis of ANN Algorithms for MPPT Energy Harvesting in Solar PV System. IEEE Access, 9. https://doi.org/10.1109/ACCESS.2021.3096864. DOI: https://doi.org/10.1109/ACCESS.2021.3096864
Safari, A., and Mekhilef, S. (2011). Incremental Conductance MPPT Method for PV Systems, 24th Canadian Conference on Electrical and Computer Engineering (CCECE). https://doi.org/10.1109/ccece.2011.6030470. DOI: https://doi.org/10.1109/CCECE.2011.6030470
Sahoo, S. K., Balamurugan, M., Anurag, S., Kumar, R., and Priya, V. (2017). Maximum Power Point Tracking for PV Panels Using Ant Colony Optimization, Innovations in Power and Advanced Computing Technologies. https://doi.org/10.1109/IPACT.2017.8245004. DOI: https://doi.org/10.1109/IPACT.2017.8245004
Sajadian, S., Ahmadi, R., and Zargarzadeh, H. (2018). Extremum Seeking Based Model Predictive MPPT for Grid-Tied Z-Source Inverter for Photovoltaic Systems. IEEE Journal of Emerging and Selected Topics in Power Electronics, 1-1. https://doi.org/10.1109/jestpe.2018.2867585. DOI: https://doi.org/10.1109/JESTPE.2018.2867585
Salem, F., and Awadallah, M. A. (2016). Detection and Assessment of Partial Shading in Photovoltaic Arrays. Journal of Electrical Systems and Information Technology, 3(1), 23-32. https://doi.org/10.1016/j.jesit.2015.10.003. DOI: https://doi.org/10.1016/j.jesit.2015.10.003
Salgotra, R., Singh, U., and Saha, S. (2019). On Some Improved Versions of Whale Optimization Algorithm. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-019-04016-0. DOI: https://doi.org/10.1007/s13369-019-04016-0
Salman, S., Ai, X., and Wu, Z. (2018). Design of A P-And-O Algorithm Based MPPT Charge Controller for a Stand-Alone 200W PV System. Protection and Control of Modern Power Systems, 3(1). https://doi.org/10.1186/s41601-018-0099-8. DOI: https://doi.org/10.1186/s41601-018-0099-8
Salmi, T., Bouzguenda, M., Gastli, A., and Masmoudi, A. (2012). MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell. International Journal of Renewable Energy Research, 2(2).
Sarfo, K. O., Amuna, W. M., Pouliwe, B. N., and Effah, F. B. (2020). An Improved P&O MPPT Algorithm Under Partial Shading Conditions. IEEE PES/IAS Powerafrica. https://doi.org/10.1109/powerafrica49420.2020.9219851. DOI: https://doi.org/10.1109/PowerAfrica49420.2020.9219851
Satpathy, P. R., Aljafari, B., and Thanikanti, S. B. (2022). Power Losses Mitigation Through Electrical Reconfiguration In Partial Shading Prone Solar PV Arrays. Optik, 259, 168973. https://doi.org/10.1016/j.ijleo.2022.168973. DOI: https://doi.org/10.1016/j.ijleo.2022.168973
Satpathy, P. R., Bhowmik, P., Babu, T. S., Sain, C., Sharma, R., and Alhelou, H. H. (2022). Performance and Reliability Improvement of Partially Shaded PV Arrays by One-Time Electrical Reconfiguration. IEEE Access, 10, 46911-46935. https://doi.org/10.1109/ACCESS.2022.3171107. DOI: https://doi.org/10.1109/ACCESS.2022.3171107
Sedaghati, F., Nahavandi, A., Badamchizadeh, M. A., Ghaemi, S., and Abedinpour Fallah, M. (2012). PV Maximum Power-Point Tracking by Using Artificial Neural Network. Mathematical Problems In Engineering, 2012, 1-10. https://doi.org/10.1155/2012/506709. DOI: https://doi.org/10.1155/2012/506709
Senniappan, G., and Umapathy, P. (2021). A Novel Hybrid Human Psychology Optimization-Perturb and Observe MPPT Algorithm In A Dspic Microcontroller For Grid Connected PV Power System. Journal of Intelligent and Fuzzy Systems, 41(2), 3011-3030. https://doi.org/10.3233/JIFS-210114. DOI: https://doi.org/10.3233/JIFS-210114
Senthilkumar, S., Haidari, M., Devi, G., Sagai, A. S., Britto, F., Rajasekhar Gorthi, H., and Sivaramkrishnan, M. (2022). Wireless Bidirectional Power Transfer for E-Vehicle Charging System International Conference on Edge Computing and Applications (ICECAA), IEEE, 13-15 October 2022. https://doi.org/10.1109/ICECAA55415.2022.9936175. DOI: https://doi.org/10.1109/ICECAA55415.2022.9936175
Senthilkumar, S., Mohan, V., and Krithiga, G. (2023). Brief Review on Solar Photovoltaic Parameter Estimation of Single and Double Diode Model Using Evolutionary Algorithms. International Journal of Engineering Technologies and Management Research, 10(1), 64-78. DOI: https://doi.org/10.29121/ijetmr.v10.i1.2023.1291
Senthilkumar, S., Mohan, V., Mangaiyarkarasi, S. P., and Karthikeyan, M. (2022). Analysis of Single-Diode PV Model and Optimized MPPT Model for Different Environmental Conditions. International Transactions on Electrical Energy Systems, 2022, Article ID 4980843, 17. https://doi.org/10.1155/2022/4980843. DOI: https://doi.org/10.1155/2022/4980843
Senthilkumar, S., Mohan, V., Senthil Kumar, T., Chitrakala, G., Ramachandran, L., and Devarajan, D. (2022). Solar Powered Pesticide Sprayer With Mobile Charger and LED Light. International Journal of Innovative Science and Research Technology, 7(4).
Senthilkumar, S., Ramachandran, L., and Aarthi, R. S. (2014). Pick and Place of Robotic Vehicle by Using An Arm Based Solar Tracking System. International Journal of Advanced Engineering Research and Science, 1(7), 39-43.
Shaikh, M. R. S., Waghmare, S. B., Labade, S. S., Fuke, P. V., and Tekale, A. (2017). A Review Paper on Electricity Generation from Solar Energy. International Journal for Research in Applied Scienceand Engineering Technology, 5(11). https://doi.org/10.22214/ijraset.2017.9272. DOI: https://doi.org/10.22214/ijraset.2017.9272
Shang, L., Guo, H., and Zhu, W. (2020). An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm. Protection and Control of Modern Power Systems, 5(14). https://doi.org/10.1186/s41601-020-00161-z. DOI: https://doi.org/10.1186/s41601-020-00161-z
Sherif, I. M., and Seshadri, S., (2018). Artificial Neural Network Based MPPT of Solar Photovoltaic Cells. International Journal of Innovative Research In Science, Engineering and Technology, 7(5).
Shi, J.-Y., Xue, F., Qin, Z.J., Zhang, W., Ling, L., and Yang, T. (2016). Improved Global Maximum Power Point Tracking for Photovoltaic System Via Cuckoo Search Under Partial Shaded Conditions. Journal of Power Electronics, 16(1), 287-296. https://doi.org/10.6113/JPE.2016.16.1.287. DOI: https://doi.org/10.6113/JPE.2016.16.1.287
Sivamani, S., and Mohan, V. (2022). A Three-Phase Reduced Switch Count Multilevel Inverter Topology. International Transactions on Electrical Energy Systems, 2022, Article ID., 1-16. https://doi.org/10.1155/2022/6193731. DOI: https://doi.org/10.1155/2022/6193731
Spertino, F., Ahmad, J., Ciocia, A., Di Leo, P., Murtaza, A. F., and Chiaberge, M. (2015). Capacitor Charging Method for I-V Curve Tracer and MPPT in Photovoltaic Systems. Solar Energy, 119, 461-473. https://doi.org/10.1016/j.solener.2015.06.032. DOI: https://doi.org/10.1016/j.solener.2015.06.032
Sridhar, R., Pradeep Vishnuram, D., and Hima Bindu, A. (2016). Divya, Ant Colony Optimization Based Maximum Powerpoint Tracking (MPPT) for Partially Shaded Standalone PV System. International Journal of Circuit Theory and Applications, 9(16), 8125-8133.
Suganya, S., Sinduja, R., Sowmiya, T., and Senthilkumar, S. (2014). Street Light Glow on Detecting Vechile Movement Using Sensor. International Journal for Advance Research in Engineering and Technology, ICIRET.
Sundareswaran, K., Peddapati, S., and Palani, S. (2014). MPPT of PV Systems Under Partial Shaded Conditions Through A Colony of Flashing Fireflies. IEEE Transactions on Energy Conversion, 29(2), 463-472. https://doi.org/10.1109/tec.2014.2298237. DOI: https://doi.org/10.1109/TEC.2014.2298237
Suntio, T., and Kuperman, A. (2019). Maximum Perturbation Step Size In MPP-Tracking Control for Ensuring Predicted PV Power Settling Behavior. Energies, 12(20), 3984. https://doi.org/10.3390/en12203984. DOI: https://doi.org/10.3390/en12203984
Suresh, N.H., Rajanna, S., Thanikanti, S. B., and Alhelou, H. H. (2022). Hybrid Interconnection Schemes For Output Power Enhancement Of Solar Photovoltaic Array Under Partial Shading Conditions. IET Renewable Power Generation. https://doi.org/10.1049/rpg2.12543.
Tchouani Njomo, A. F., Kenne, G., Douanla, R. M., and Sonfack, L. L. (2020). A Modified ESC Algorithm for MPPT Applied to A Photovoltaic System Under Varying Environmental Conditions. International Journal of Photoenergy, 1-15. https://doi.org/10.1155/2020/1956410. DOI: https://doi.org/10.1155/2020/1956410
Teo, J., Tan, R., Mok, V., Ramachandaramurthy, V., and Tan, C. (2018). Impact of Partial Shading on the P-V Characteristics And The Maximum Power of a Photovoltaic String. Energies, 11(7), 1860. https://doi.org/10.3390/en11071860. DOI: https://doi.org/10.3390/en11071860
Tey, K. S., Mekhilef, S., Yang, H.-T., and Chuang, M.-K. (2014). A Differential Evolution Based MPPT Method For Photovoltaic Modules Under Partial Shading Conditions. International Journal of Photoenergy, 1-10. https://doi.org/10.1155/2014/945906. DOI: https://doi.org/10.1155/2014/945906
Thakurta, S. G. (2020). A Modified MPPT Algorithm for Single Phase Grid Connected PV System, National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA). https://doi.org/10.1109/ncetstea48365.2020.9119938. DOI: https://doi.org/10.1109/NCETSTEA48365.2020.9119938
Tian, Y., Xia, B., Xu, Z., and Sun, W. (2014). Modified Asymmetrical Variable Step Size Incremental Conductance Maximum Power Point Tracking Method for Photovoltaic Systems. Journal of Power Electronics, 14(1), 156-164. https://doi.org/10.6113/JPE.2014.14.1.156. DOI: https://doi.org/10.6113/JPE.2014.14.1.156
Verma, P., Alam, A., Sarwar, A., Tariq, M., Vahedi, H., Gupta, D., Ahmad, S., and Shah Noor Mohamed, A. (2021). Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System. Electronics, 10(19), 2419. https://doi.org/10.3390/electronics10192419. DOI: https://doi.org/10.3390/electronics10192419
Villalva, M. G., F., and E. R. (2019). Analysis and Simulation of the P&O MPPT Algorithm Using a Linearized PV Array Model 35th Annual Conference of IEEE Industrial Electronics. https://doi.org/10.1109/iecon.2009.5414780. DOI: https://doi.org/10.1109/IECON.2009.5414780
Wan, Y., Mao, M., Zhou, L., Zhang, Q., Xi, X., and Zheng, C. (2019). A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based On SSA-GWO Algorithm For Partially Shaded Photovoltaic Systems. Electronics, 8(6), 680. https://doi.org/10.3390/electronics8060680. DOI: https://doi.org/10.3390/electronics8060680
Wang, L., Wei, X., Zhu, T., and Zhang, J. (2014). Two-Stage Chaos Optimization Search Application in Maximum Power Point Tracking of PV Array. Mathematical Problems in Engineering, 2014, 1-11. https://doi.org/10.1155/2014/464835. DOI: https://doi.org/10.1155/2014/464835
Wang, L., Zhong, Y., and Yin, Y. (2015). A Hybrid Cooperative Cuckoo Search Algorithm With Particle Swarm Optimisation. International Journal of Computing Science and Mathematics, 6(1), 18. https://doi.org/10.1504/ijcsm.2015.067537. DOI: https://doi.org/10.1504/IJCSM.2015.067537
Willoughby, A. A., and Osinowo, M. O. (2018). Development of An Electronic Load I-V Curve Tracer to Investigate the Impact of Harmattan Aerosol Loading on PV Module Pern2tkformance in Southwest Nigeria. Solar Energy, 166, 171-180. https://doi.org/10.1016/j.solener.2018.03.047. DOI: https://doi.org/10.1016/j.solener.2018.03.047
Willoughby, A. A., Omotosho, T. V., and Aizebeokhai, A. P. (2014). A Simple Resistive Load I-V Curve Tracer for Monitoring Photovoltaic Module Characteristics 5th International Renewable Energy Congress (IREC). https://doi.org/10.1109/irec.2014.6827028. DOI: https://doi.org/10.1109/IREC.2014.6827028
Yang, B., Yu, T., Zhang, X., Li, H., Shu, H., Sang, Y., and Jiang, L. (2019). Dynamic Leader Based Collective Intelligence for Maximum Power Point Tracking of PV Systems Affected by Partial Shading Condition. Energy Conversion And Management, 179, 286-303. https://doi.org/10.1016/j.enconman.2018.10.074. DOI: https://doi.org/10.1016/j.enconman.2018.10.074
Yaqoob, Salam J., Saleh, A. L., Motahhir, S., Agyekum, E. B., Nayyar, A.,And Qureshi, B. (2021). 'Comparative Study With Practical Validation Of Photovoltaic Monocrystalline Module For Single And Double Diode Models', Cientifc Reports, 11, 19153. https://doi.org/10.1038/s41598-021-98593-6. DOI: https://doi.org/10.1038/s41598-021-98593-6
Yau, H.-T., and Wu, C.-H. (2011). Comparison of Extremum-Seeking Control Techniques for Maximum Powerpoint Tracking in Photovoltaic System. Energies, 4(12), 2180-2195. https://doi.org/10.3390/en4122180. DOI: https://doi.org/10.3390/en4122180
Zaki Diab, A. A., and Rezk, H. (2017). Global MPPT Based on Flower Pollination and Differential Evolution Algorithms to Mitigate Partial Shading in Building Integrated PV System. Solar Energy, 157, 171-186. https://doi.org/10.1016/j.solener.2017.08.024. DOI: https://doi.org/10.1016/j.solener.2017.08.024
Zhang, M., Chen, Z., and Wei, L. (2019). An Immune Firefly Algorithm for Tracking The Maximum Power Point of PV Array Under Partial Shading Conditions. Energies, 12(16), 3083. https://doi.org/10.3390/en12163083. DOI: https://doi.org/10.3390/en12163083
Zhao, Y., An, A., and Xu, Y. (2021). Model Predictive Control of Grid-Connected PV Power Generation System Considering Optimal MPPT Control of PV Modules. Protection and Control of Modern Power Systems, 6(32). https://doi.org/10.1186/s41601-021-00210-1. DOI: https://doi.org/10.1186/s41601-021-00210-1
Zhu, Y., and Xiao, W. (2020). A Comprehensive Review of Topologies for Photovoltaic I-V Curve Tracer. Solar Energy, 196, 346-357. https://doi.org/10.1016/j.solener.2019.12.020. DOI: https://doi.org/10.1016/j.solener.2019.12.020
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 S. Senthilkumar, V. Mohan, R. Deepa, M. Nuthal Srinivasan, T. Senthil Kumar, Sudhakar Babu Thanikanti, N. Prathap
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
