Author(s)

Haiming Li^1*, Chunning Fu²

¹School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China.
²School of Computer Science, University of Nottingham, Nottingham Park, Nottingham, UK.

An improved optimization algorithm combining the differential evolution algorithm and the whale algorithm is proposed for the problem of not being able to get rid of the local optimum in the economic load distribution algorithm. The algorithm adopts a nonlinear convergence strategy, a crossover strategy of differential evolution and the introduction of an elimination mechanism, which balances the global search and local exploitation ability of the algorithm and improves the accuracy of the solved optimal solution. The 13-unit and 40-unit systems are selected for economic load distribution calculation, and the experimental results show that the proposed improved algorithm is superior in distributing the economic load of the power system and can effectively reduce the economic cost.

Whale Optimization Algorithm, Differential Evolution Algorithm, Elimination Mechanism, Economic Load Distribution

Li, H. and Fu, C. (2022) An Improved Differential Evolution Whale Algorithm for Economic Load Distribution. Journal of Computer and Communications, 10, 88-103. doi: 10.4236/jcc.2022.1010007.