A Covariance Matrix Adaptation Evolution Strategy Based on Cooperative Co-Evolutionary Framework Using Delta Grouping for Large-Scale Dynamic Economic Dispatch

Abstract

The increasing complexity of modern power systems has led to the emergence of large-scale dynamic economic dispatch (DED) problems. To solve a large-scale DED problem with high-dimensional decision variables and various constraints is still a challenge using most existing evolutionary algorithms. In this paper, we propose a covariance matrix adaptation evolution strategy based on cooperative co-evolutionary framework (CC-CMA-ES) using delta grouping for solving large-scale DED problem. The experiment results suggest that the CC-CMA-ES is a fast and accurate approach for large-scale DED problems in terms of computation time, solution quality and convergence speed. Integrating CMA-ES into CC the framework can reduce the computation time by 97.5%, compared with basic CMA-ES, revealing the great potential of CC-CMA-ES for solving more difficult large-scale DED problems.