Application of modified NSGA-II algorithm to multi-objective reactive power planning
作者： S. Ramesh , S. Kannan , S. Baskar
DOI: 10.1016/J.ASOC.2011.09.015
关键词: Algorithm 、 Bus voltage 、 TOPSIS 、 Sorting 、 Mathematical optimization 、 AC power 、 Ideal solution 、 Standard deviation 、 Covariance matrix 、 Computer science 、 Evolution strategy 、 Software
摘要: This paper discusses the application of Modified Non-Dominated Sorting Genetic Algorithm-II (MNSGA-II) to multi-objective Reactive Power Planning (RPP) problem. The three objectives considered are minimization combined operating and VAR allocation cost, bus voltage profile improvement stability enhancement. For maintaining good diversity in nondominated solutions, Dynamic Crowding Distance (DCD) procedure is implemented NSGA-II it called as MNSGA-II. standard IEEE 30-bus test system, practical 69-bus Indian system 118-bus analyze performance results obtained using MNSGA-II compared with validated reference pareto-front generated by conventional weighted sum method Covariance Matrix Adapted Evolution Strategy (CMA-ES). respect best, mean, worst deviation measures namely gamma, spread, minimum spacing Inverted Generational (IGD) 15 independent runs. show effectiveness confirm its potential solve RPP A decision-making based on Technique for Order Preference Similarity Ideal Solution (TOPSIS) used finding best compromise solution from set pareto-solutions through
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