Comparison of NSGA-II and SPEA2 on the Multiobjective Environmental/Economic Dispatch Problem

Abstract

Two of the state of the art multiobjective evolutionary algorithms have been used to solve the environmental/economic dispatch problem. The Fast and Elitist Nondominated Sorting Genetic Algorithm (NSGA-II) and the Strength Pareto Evolutionary Algorithm 2 (SPEA2) have been compared for the IEEE 30-bus system using normalized values of the objectives by generational distance as convergence metric, spread as diversity metric and actual computational times. A further investigation was carried using tools for statistical comparison of multiobjective optimizers. Results are presented for two cases: lossless system and system with transmission
losses.

Keywords: Power Systems, Environmental/Economic Dispatch, Nondominated Sorting Genetic Algorithm, Strength Pareto Evolutionary Algorithm.