DIMINISHING OF TRUE POWER LOSS BY APIDAE ALGORITHM

K. Lenin

doi:10.29121/granthaalayah.v6.i12.2018.1080

Authors

Dr K. Lenin Professor, Department of EEE, Prasad V.Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007, India

DOI:

https://doi.org/10.29121/granthaalayah.v6.i12.2018.1080

Keywords:

Optimal Reactive Power, Transmission loss, Apidae algorithm

Abstract [English]

In this paper, Apidae Algorithm (AA) is proposed for solving reactive power problem. Apidae Algorithm, inspired from the natural foraging behaviour of Apidae, & it has been utilized to solve the reactive power problem. The AA algorithm carry out the intensified neighbourhood search united with a random mode exploration search. Efficiency of the projected Apidae Algorithm (AA) is validated by evaluating in standard IEEE 118, 300 bus test systems. Simulated outcomes shows that active power loss has been reduced with variables are within the limits.

Downloads

Download data is not yet available.

References

K. Y. Lee, “Fuel-cost minimisation for both real and reactive-power dispatches,” Proceedings Generation, Transmission and Distribution Conference, vol/issue: 131(3), pp. 85-93, 1984. DOI: https://doi.org/10.1049/ip-c.1984.0012

N. I. Deeb, “An efficient technique for reactive power dispatch using a revised linear programming approach,” Electric Power System Research, vol/issue: 15(2), pp. 121–134, 1988. DOI: https://doi.org/10.1016/0378-7796(88)90016-8

M. R. Bjelogrlic, M. S. Calovic, B. S. Babic, et. al.,” Application of Newton’s optimal power flow in voltage/reactive power control”, IEEE Trans Power System, vol. 5, no. 4, pp. 1447-1454, 1990.

S. Granville, “Optimal reactive dispatch through interior point methods,” IEEE Transactions on Power System, vol/issue: 9(1), pp. 136–146, 1994. DOI: https://doi.org/10.1109/59.317548

N. Grudinin, “Reactive power optimization using successive quadratic programming method,” IEEE Transactions on Power System, vol/issue: 13(4), pp. 1219–1225, 1998.

Wei Yan, J. Yu, D. C. Yu and K. Bhattarai,” A new optimal reactive power flow model in rectangular form and its solution by predictor corrector primal dual interior point method”, IEEE Trans. Pwr. Syst., vol.21, no.1, pp.61-67, 2006. DOI: https://doi.org/10.1109/TPWRS.2005.861978

Aparajita Mukherjee, Vivekananda Mukherjee, “Solution of optimal reactive power dispatch by chaotic krill herd algorithm", IET Gener. Transm. Distrib,, Vol. 9, Issue. 15, pp. 2351–2362, 2015.

Hu, Z., Wang, X. & Taylor, G. Stochastic optimal reactive power dispatch: Formulation and solution method. Electr. Power Energy Syst., vol. 32, pp. 615-621. 2010. DOI: https://doi.org/10.1016/j.ijepes.2009.11.018

Mahaletchumi A/P Morgan, Nor Rul Hasma Abdullah, Mohd Herwan Sulaiman, Mahfuzah Mustafa and Rosdiyana Samad, “Computational intelligence technique for static VAR compensator (SVC) installation considering multi-contingencies (N-m)”, ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 22, DECEMBER 2015.

Mohd Herwan Sulaiman, Zuriani Mustaffa, Hamdan Daniyal, Mohd Rusllim Mohamed and Omar Aliman, “Solving Optimal Reactive Power Planning Problem Utilizing Nature Inspired Computing Techniques”, ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 21,, pp.9779-9785. NOVEMBER 2015

Mohd Herwan Sulaiman, Wong Lo Ing, Zuriani Mustaffa and Mohd Rusllim Mohamed, “Grey Wolf Optimizer for Solving Economic Dispatch Problem with Valve-Loading Effects”, ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 21,, pp. 9796-9801, NOVEMBER 2015.

Pandiarajan, K. & Babulal, C. K., “Fuzzy harmony search algorithm based optimal power flow for power system security enhancement”. International Journal Electric Power Energy Syst., vol. 78, pp. 72-79. 2016. DOI: https://doi.org/10.1016/j.ijepes.2015.11.053

Mustaffa, Z., Sulaiman, M.H., Yusof, Y., Kamarulzaman, S.F., “A novel hybrid metaheuristic algorithm for short term load forecasting”, International Journal of Simulation: Systems, Science and Technology, Volume 17, Issue 41, Pages 6.1-6.6. 2017.

Sulaiman, M.H., Mustaffa, Z., Mohamed, M.R., Aliman, O., “An application of multi-verse optimizer for optimal reactive power dispatch problems”, International Journal of Simulation: Systems, Science and Technology, Volume 17, Issue 41, Pages 5.1-5.5. 2017.

Mahaletchumi A/P Morgan, Nor Rul Hasma Abdullah, Mohd Herwan Sulaiman,Mahfuzah Mustafa and Rosdiyana Samad, “Multi-Objective Evolutionary Programming (MOEP) Using Mutation Based on Adaptive Mutation Operator (AMO) Applied For Optimal Reactive Power Dispatch”, ARPN Journal of Engineering and Applied Sciences, VOL. 11, NO. 14, JULY 2016.

Rebecca Ng Shin Mei, Mohd Herwan Sulaiman, Zuriani Mustaffa, “Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution”, Journal of Electrical Systems, "Special Issue AMPE2015", pp. 68-74.2016.

Mahaletchumi Morgan, Nor Rul Hasma Abdullah, Mohd Herwan Sulaiman, Mahfuzah Mustafa, Rosdiyana Samad, “Benchmark Studies on Optimal Reactive Power Dispatch (ORPD) Based Multi-objective Evolutionary Programming (MOEP) Using Mutation Based on Adaptive Mutation Adapter (AMO) and Polynomial Mutation Operator (PMO)”, Journal of Electrical Systems, 12-1, 2016.

Rebecca Ng Shin Mei, Mohd Herwan Sulaiman, Zuriani Mustaffa, Hamdan Daniyal, “Optimal Reactive Power Dispatch Solution by Loss Minimization using Moth-Flame Optimization Technique”, Applied Soft Computing, Volume 59, October, Pages 210-222, 2017. DOI: https://doi.org/10.1016/j.asoc.2017.05.057

Pham, D.T.; Ghanbarzadeh, A.; Koc, E.; Otri, S.; Rahim, S.; Zaidi, M. The Bees Algorithm, Technical Note; Manufacturing Engineering Center, Cardiff University: Cardiff, UK, 2005.

Seeley, T.D. The Wisdom of the Hive: The Social Physiology of Honey Bee Colonies; Harvard University Press: Cambridge, MA, USA, 2009.

Gould, J.L.; Gould, C.G. The Honey Bee; Scientific American Library: New York, NY, USA, 1988. DOI: https://doi.org/10.1016/S0065-2806(08)60022-3

Von Frisch, K. Bees: Their Vision, Chemical Senses, and Language; Cornell University Press: Ithaca, NY, USA, 1950.

Huang, Z. Behavioral Communications: The Waggle Dance. Available online: http://photo.bees.net/ biology/ch6/dance2.html (accessed on 29 June 2013).

Koc, E. The Bees Algorithm Theory, Improvements and Applications. Ph.D Thesis, Cardiff University, Cardiff, UK, 2010.

Yuce, B. Novel Computational Technique for Determining Depth Using the Bees Algorithm and Blind Image Deconvolution. Ph.D Thesis, Cardiff University, Cardiff, UK, 2012.

Baris Yuce, Michael S. Packianather, Ernesto Mastrocinque, Duc Truong Pham and Alfredo Lambiase “Honey Bees Inspired Optimization Method”: The Bees Algorithm Insects 2013, 4, 646-662; doi:10.3390/insects4040646. DOI: https://doi.org/10.3390/insects4040646

Wu.Q.H,Y.J.Cao,andJ.Y.Wen,(1998),“Optimal reactive power dispatch using an adaptive genetic algorithm”, Int.J.Elect.Power Energy Syst. Vol 20. Pp. 563-569.

Zhao. B,C. X.Guo, and Y.J.CAO,(2005),“Multiagent-based particle swarm optimization approach for optimal reactive power dispatch”, IEEE Trans. Power Syst. Vol. 20, no. 2, pp. 1070-1078. DOI: https://doi.org/10.1109/TPWRS.2005.846064

S. Surender Reddy, “Optimal Reactive Power Scheduling Using Cuckoo Search Algorithm”, International Journal of Electrical and Computer Engineering, Vol. 7, No. 5, pp. 2349-2356. 2017 DOI: https://doi.org/10.11591/ijece.v7i5.pp2349-2356

S.S. Reddy, et al., “Faster evolutionary algorithm based optimal power flow using incremental variables”, Electrical Power and Energy Systems, vol. 54, pp. 198-210, 2014. DOI: https://doi.org/10.1016/j.ijepes.2013.07.019

IEEE, “IEEE 118, 300 -test systems”, (1993), http://www.ee.washington.edu/trsearch/pstca/.

Jiangtao Cao, Fuli Wang and Ping Li, “An Improved Biogeography-based Optimization Algorithm for Optimal Reactive Power Flow”, International Journal of Control and Automation Vol.7, No.3 (2014), pp.161-176.