电力系统多代理协调调度的投影和分解方法

IF 5.7 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Modern Power Systems and Clean Energy Pub Date : 2023-12-06 DOI:10.35833/MPCE.2023.000422

Haifeng Qiu;Zhigang Li;Hongjun Gao;Hung Dinh Nguyen;Veerapandiyan Veerasamy;Hoay Beng Gooi

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引用次数: 0

摘要

针对不确定条件下电力系统中的多代理协调调度问题，本文提出了一种通用的投影与分解（P&D）方法。通过可行区域投影，带有耦合约束的典型最小-最大-最小两阶段鲁棒优化（TSRO）模型等价于混合整数线性规划（MILP）版本中的简明鲁棒优化（RO）模型。通过对偶分解算法实现了非凸 MILP 问题的分散解耦，从而确保在分布式优化中快速收敛到高质量解。数值测试验证了所提出的 P&D 方法优于现有的分布式 TSRO 方法。

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A Projection and Decomposition Approach for Multi-Agent Coordinated Scheduling in Power Systems

Aiming at multi-agent coordinated scheduling problems in power systems under uncertainty, a generic projection and decomposition (P&D) approach is proposed in this letter. The canonical min-max-min two-stage robust optimization (TSRO) model with coupling constraints is equivalent to a concise robust optimization (RO) model in the version of mixed-integer linear programming (MILP) via feasible region projection. The decentralized decoupling of the non-convex MILP problem is realized through a dual decomposition algorithm, which ensures the fast convergence to a high-quality solution in the distributed optimization. Numerical tests verify the superior performance of the proposed P&D approach over the existing distributed TSRO method.

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来源期刊

Journal of Modern Power Systems and Clean Energy ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

12.30

自引率

14.30%

发文量

审稿时长

13 weeks

期刊介绍： Journal of Modern Power Systems and Clean Energy (MPCE), commencing from June, 2013, is a newly established, peer-reviewed and quarterly published journal in English. It is the first international power engineering journal originated in mainland China. MPCE publishes original papers, short letters and review articles in the field of modern power systems with focus on smart grid technology and renewable energy integration, etc.