Multi-objective optimal reactive power dispatch considering voltage stability in power systems using HFMOEA

作者：Saraswat Amit; Saini Ashish^*

来源：Engineering Applications of Artificial Intelligence, 2013, 26(1): 390-404.

DOI：10.1016/j.engappai.2012.06.008

• Multi-objective optimization
• Optimal reactive power dispatch
• Voltage stability
• Pareto-optimal front
• Fuzzy logic controller
• Hybrid evolutionary algorithm

This paper proposes a new hybrid fuzzy multi-objective evolutionary algorithm (HFMOEA) based approach for solving complex multi-objective, mixed integer nonlinear problems such as optimal reactive power dispatch considering voltage stability (ORPD-VS). In HFMOEA based optimization approach, the two parameters like crossover probability (Pc) and mutation probability (Pm) are varied dynamically through the output of a fuzzy logic controller. The fuzzy logic controller is designed on the basis of expert knowledge to enhance the overall stochastic search capability for generating better pareto-optimal solution. Two detailed case studies are presented: Firstly, the performance of HFMOEA is tested on five benchmark test problems such as ZDT1, ZDT2, ZDT3, ZDT4 and ZDT6 as suggested by Zitzler, Deb and Thiele; Secondly, HFMOEA is applied to multi-objective ORPD-VS problem. In both the case studies, the optimization results obtained from HFMOEA are analysed and compared with the same obtained from two versions of elitist non-dominated sorting genetic algorithms such as NSGA-II and MNSGA-II in terms of various performance metrics. The simulation results are promising and confirm the ability of HFMOEA for generating better pareto-optimal fronts with superior convergence and diversity.

• 出版日期2013-1