Decentralized Coordination Dispatch Model Based on Chaotic Mutation Harris Hawks Optimization Algorithm

Energies

Lianxin Liu¹  Zhenhai Dou¹  Yuanyuan Wang¹  Mengmeng Qiao¹  Zexu Yu¹  Ruishuo Xie¹  Ye Zhao¹ 

[1] School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China;

关键词: decentralized coordinated dispatch;    analytical target cascading;    swarm intelligence algorithm;    Harris hawks optimization;    optimization;    DC tie-line;   

DOI  :  10.3390/en15103815

来源: DOAJ

【 摘 要 】

Aiming at the economic dispatch problem for an interconnected system with wind power integration, and in order to realize the goals of system economy and improvement of the cross-regional consumption level of wind energy, a decentralized coordination dispatch model is established in this paper. In this model, a DC tie-line is cut by the branch cutting method and used as a coupling variable. A virtual upper-level dispatch center is established, and the economic dispatch problem to be solved is decomposed into a master optimization problem for the upper-level dispatch center and subsidiary optimization problems for the lower-level dispatch centers. For solving this model, an improved Harris hawks optimization (HHO) algorithm called the chaotic mutation Harris hawks optimization (CMHHO) algorithm is proposed. In the CMHHO algorithm, tent mapping and the “DE/pbad-to-pbest/1” strategy are introduced, and a new nonlinear escape energy factor adjustment is proposed. Through an algorithm comparison experiment and a simulation experiment with two examples, the superiority of the CMHHO algorithm, the effectiveness of the proposed model and the applicability of the CMHHO algorithm to the proposed model are verified. The model proposed is of great significance for solving the economic dispatch problem for an interconnected system with wind power integration.

【 授权许可】

Unknown