Multi-stage robust optimization planning of microgrid clusters based on master-slave game

被引：0
|
作者：
Fu Y. [1 ]
Xing X. [1 ]
Li Z. [1 ]
Zhang Z. [1 ]
Li H. [1 ]
机构：
[1] School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Electricity market; Game theory; Microgrid clusters; Multi-stage planning; Robust optimization;
D O I：
10.16081/j.epae.202112008
中图分类号：
学科分类号：
摘要：
Aiming at the interest conflict problem caused by the access of microgrid clusters into distribution network as market entities, a multi-stage robust optimization planning method of microgrid clusters is proposed. A double-layer planning mathematical model of distribution network and microgrid clusters is built based on the master-slave game theory. The upper layer is the optimal operation model of distribution network, aiming at reducing operating cost and improving voltage level. The lower layer is the optimization planning model of microgrid clusters, which solves the capacity configuration problem of sources in microgrid clusters. Considering the uncertainty of load growth, the robust optimization is added in the model to improve the robustness of the planning scheme. The KKT(Karush-Kuhn-Tucker) condition is adopted to convert the original problem into a single-layer equilibrium constraint mathematical programming problem, and the C&CG(Column-and-Constraint Generation) algorithm is used to solve the problem. The example of IEEE 33-bus system shows that the proposed method improves the consumption ability of distribution network for renewable energy and improves the operating indexes of distribution network, while ensures the economic benefit of microgrid investors and effectively realize the coordinated development of distribution network and microgrid. © 2022, Electric Power Automation Equipment Press. All right reserved.
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页码：1 / 8
页数：7
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