ACTIVE POWER LOSS DIMINUTION & VOLTAGE STABILITY ENHANCEMENT BY RED WOLF OPTIMIZATION ALGORITHM
DOI:
https://doi.org/10.29121/granthaalayah.v6.i11.2018.1139Keywords:
Reactive Power, Dispatch, Loss, Red Wolf Optimization, Swarm OptimizationAbstract [English]
In this paper optimal reactive power dispatch problem (ORPD), has been solved by Enriched Red Wolf Optimization (ERWO) algorithm. Projected ERWO algorithm hybridizes the wolf optimization (WO) algorithm with swarm based algorithm called as particle swarm optimization (PSO) algorithm. In the approach each Red wolf has a flag vector, and length is equivalent to the whole sum of numbers which features in the dataset of the wolf optimization (WO). Exploration capability of the projected Red wolf optimization algorithm has been enriched by hybridization of both WO with PSO. Efficiency of the projected Enriched Red wolf optimization (ERWO) evaluated in standard IEEE 30 bus test system. Simulation study indicates Enriched Red wolf optimization (ERWO) algorithm performs well in tumbling the actual power losses& particularly voltage stability has been enriched.
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M. A. Abido, J. M. Bakhashwain, “A novel multi objective evolutionary algorithm for optimal reactive power dispatch problem,” in proc. Electronics, Circuits and Systems conf., vol. 3, pp. 1054-1057, 2003.
W. N. W. Abdullah, H. Saibon, A. A. M. Zain, K. L. Lo, “Genetic Algorithm for Optimal Reactive Power Dispatch,” in proc. Energy Management and Power Delivery conf., vol. 1, pp. 160-164, 1998.
K. Y. Lee, Y. M. Park, J. L. Ortiz, “Fuel-cost minimisation for both real and reactive-power dispatches,” in proc. Generation, Transmission and Distribution conf., vol. 131, pp. 85-93, 1984. DOI: https://doi.org/10.1049/ip-c.1984.0012
S. Granville, “Optimal Reactive Dispatch Trough Interior Point Methods,” IEEE Trans. on Power Systems, vol. 9, pp. 136-146, 1994. DOI: https://doi.org/10.1109/59.317548
N. I. Deeb, S. M. Shahidehpour, “An Efficient Technique for Reactive Power Dispatch Using a Revised Linear Programming Approach,” Electric Power System Research, vol. 15, pp. 121-134, 1988. DOI: https://doi.org/10.1016/0378-7796(88)90016-8
N. Grudinin, “Reactive Power Optimization Using Successive Quadratic Programming Method,” IEEE Trans. on Power Systems, vol. 13, pp. 1219-1225, 1998.
M. A. Abido, “Optimal Power Flow Using Particle Swarm Optimization” , Electrical Power and Energy Systems, vol. 24, pp. 563-571, 2002. DOI: https://doi.org/10.1016/S0142-0615(01)00067-9
A.A. Abou El Ela, M. A. Abido, S. R. Spea, “Differential Evolution Algorithm for Optimal Reactive Power Dispatch,” Electric Power Systems Research, vol. 81, pp. 458-464, 2011. DOI: https://doi.org/10.1016/j.epsr.2010.10.005
V. Miranda, N. Fonseca, “EPSO-Evolutionary Particle Swarm Optimization, A New Algorithm with Applications in Power Systems,” in Proc. of Transmission and Distribution conf., vol. 2, pp. 745-750,2002.
C.A. Canizares, A.C.Z.de Souza and V.H. Quintana, “Comparison of performance indices for detection of proximity to voltage collapse”, IEEE Transactions on Power Systems, vol. 11. no.3, pp.1441-1450, Aug 1996.
A. Berizzi, C. Bovo, M. Merlo, and M. Delfanti, “A ga approach to compare orpf objective functions including secondary voltage regulation”, Electric Power Systems Research, vol. 84, no. 1, pp. 187 – 194, 2012. DOI: https://doi.org/10.1016/j.epsr.2011.11.014
C.-F. Yang, G. G. Lai, C.-H. Lee, C.-T. Su, and G. W. Chang, “Optimal setting of reactive compensation devices with an improved voltage stability index for voltage stability enhancement ”, International Journal of Electrical Power and Energy Systems, vol. 37, no. 1, pp. 50 – 57, 2012. DOI: https://doi.org/10.1016/j.ijepes.2011.12.003
P. Roy, S. Ghoshal, and S. Thakur, “Optimal var control for improvements in voltage profiles and for real power loss minimization using biogeography based optimization,” International Journal of Electrical Power and Energy Systems, vol. 43, no. 1, pp. 830 – 838, 2012. DOI: https://doi.org/10.1016/j.ijepes.2012.05.032
B. Venkatesh, G. Sadasivam, and M. Khan, “A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy lp technique,” IEEE Transactions on Power Systems, vol. 15, no. 2, pp. 844 – 851, may 2000. DOI: https://doi.org/10.1109/59.867183
W. Yan, S. Lu, and D. Yu, “A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique”, IEEE Transactions on Power Systems, vol. 19, no. 2, pp. 913 – 918, may 2004. DOI: https://doi.org/10.1109/TPWRS.2004.826716
W. Yan, F. Liu, C. Chung, and K. Wong, “A hybrid genetic algorithminterior point method for optimal reactive power flow”, IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1163 –1169, aug. 2006.
J. Yu, W. Yan, W. Li, C. Chung, and K. Wong, “An unfixed piecewiseoptimal reactive power-flow model and its algorithm for ac-dc systems,” IEEE Transactions on Power Systems, vol. 23, no. 1, pp. 170 –176, feb. 2008. DOI: https://doi.org/10.1109/TPWRS.2007.907387
F. Capitanescu, “Assessing reactive power reserves with respect to operating constraints and voltage stability,” IEEE Transactions on Power Systems, vol. 26, no. 4, pp. 2224–2234, nov. 2011.
Z. Hu, X. Wang, and G. Taylor, “Stochastic optimal reactive power dispatch: Formulation and solution method,” International Journal of Electrical Power and Energy Systems, vol. 32, no. 6, pp. 615 – 621, 2010. DOI: https://doi.org/10.1016/j.ijepes.2009.11.018
A. Kargarian, M. Raoofat, and M. Mohammadi, “Probabilistic reactive power procurement in hybrid electricity markets with uncertain loads,” Electric Power Systems Research, vol. 82, no. 1, pp. 68 – 80, 2012. DOI: https://doi.org/10.1016/j.epsr.2011.08.019
Kaveh and F. Shokohi, “Application of Grey Wolf Optimizer in design of castellated beams,” Asian Journal of Civil Engineering, vol. 17, no. 5, pp. 683–700, 2016.
Kennedy, J. and R.C. Eberhart, 1995. “Particle swarm optimization”, Proceeding of IEEE International Conference on Neural Networks, Perth, Australia, pp: 1942-1948.
Wu Q H, Ma J T. “Power system optimal reactive power dispatch using evolutionary programming”, IEEE Transactions on power systems , 1995; 10(3): 1243-1248 . DOI: https://doi.org/10.1109/59.466531
S.Durairaj, D.Devaraj, P.S.Kannan ,“Genetic algorithm applications to optimal reactive power dispatch with voltage stability enhancement”, IE(I) Journal-EL ,Vol 87,September 2006.
D.Devaraj, “Improved genetic algorithm for multi – objective reactive power dispatch problem”, European Transactions on electrical power, 2007; 17: 569-581. DOI: https://doi.org/10.1002/etep.146
P. Aruna Jeyanthy and Dr. D. Devaraj “Optimal Reactive Power Dispatch for Voltage Stability Enhancement Using Real Coded Genetic Algorithm”, International Journal of Computer and Electrical Engineering, Vol. 2, No. 4, August, 2010 1793-8163 DOI: https://doi.org/10.7763/IJCEE.2010.V2.220
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