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

Yuanyuan Wang, Zexu Yu, Zhenhai Dou, Mengmeng Qiao, Ye Zhao, Ruishuo Xie and Lianxin Liu
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Yuanyuan Wang: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Zexu Yu: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Zhenhai Dou: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Mengmeng Qiao: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Ye Zhao: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Ruishuo Xie: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Lianxin Liu: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China

Energies, 2022, vol. 15, issue 10, 1-26

Abstract: 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.

Keywords: decentralized coordinated dispatch; analytical target cascading; swarm intelligence algorithm; Harris hawks optimization; optimization; DC tie-line (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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