Enhanced Heuristic technique for short term hydrothermal together with wind-solar generating power units

Abstract

This article recommends Chaotic Based Fast Evolutionary Programming (CBFEP) to obtain the solution for multi-area economic dispatch (MAED) problems including thermal, wind, and solar power system altogether. The system also includes a battery energy storage system, constraints for tie line, and losses in transmission. CBFEP algorithm follows the principles of Gaussian mutation and Cauchy mutation. The effectiveness of this proposed approach is verified and tested considering two different types of test cases. The results of the tests are then matched with the results already obtained from differential evolution (DE) as well as particle swarm optimization (PSO). From comparative analysis, this has been realized that the suggested CBFEP can provide a better solution.