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

Author

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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)

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.

Suggested Citation

  • Yuanyuan Wang & Zexu Yu & Zhenhai Dou & Mengmeng Qiao & Ye Zhao & Ruishuo Xie & Lianxin Liu, 2022. "Decentralized Coordination Dispatch Model Based on Chaotic Mutation Harris Hawks Optimization Algorithm," Energies, MDPI, vol. 15(10), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3815-:d:821259
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    References listed on IDEAS

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    1. Yih-Der Lee & Wei-Chen Lin & Jheng-Lun Jiang & Jia-Hao Cai & Wei-Tzer Huang & Kai-Chao Yao, 2021. "Optimal Individual Phase Voltage Regulation Strategies in Active Distribution Networks with High PV Penetration Using the Sparrow Search Algorithm," Energies, MDPI, vol. 14(24), pages 1-22, December.
    2. Neelamsetti Kirn Kumar & Rahul Sanmugam Gopi & Ramya Kuppusamy & Srete Nikolovski & Yuvaraja Teekaraman & Indragandhi Vairavasundaram & Siripireddy Venkateswarulu, 2022. "Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization," Energies, MDPI, vol. 15(6), pages 1-20, March.
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    Cited by:

    1. Zekai Xu & Jinghan He & Zhao Liu & Zhiyi Zhao, 2023. "Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution," Energies, MDPI, vol. 16(13), pages 1-23, July.
    2. Abdulaziz Almalaq & Tawfik Guesmi & Saleh Albadran, 2023. "A Hybrid Chaotic-Based Multiobjective Differential Evolution Technique for Economic Emission Dispatch Problem," Energies, MDPI, vol. 16(12), pages 1-34, June.

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