The optimal scheduling of microgrid: A research based on a novel whale algorithm

Abstract

When it comes to fixing the power supply problem in remote locations, microgrid has the features of flexibility and environmental protection, but the solution generally uses particles that are easily fall into local optimal. In this paper, we use the modified whale algorithm to solve the microgrid optimization problem. First, we set the economic cost and environmental cost as two modeling objectives. Second, we introduce the backward learning method and nonlinear variable factor in the basic whale algorithm to improve and solve the whale algorithm. Finally, we use the functions Sphere and Rastrigrin for performance testing and comparing their optimization results, and we show that the modified whale algorithm outperforms the original whale algorithm.