Comparative performance of multiobjective evolutionary algorithms for solving multiobjective optimal reactive power dispatch problems

Abstract

In this paper, comparative performance of multiobjective evolutionary algorithms (MOEAs) for solving multiobjective optimal reactive power dispatch (MOORPD) problems has been studied. The standard IEEE 30-bus and 57-bus power systems are posed to optimize active power loss and voltage deviation. Design variables include generator bus voltages, tap setting transformers, and shunt reactive power sources whereas design constraints are lower and upper bounds of the variables. A number of MOEAs are implemented to solve the test problems and their performances are compared statistically. It is shown that multiobjective gray wolf optimizer (MOGWO) is superior to other MOEAs based upon the hypervolume indicator. The results can be set as the baseline for performance testing of MOEAs for such optimization problems.