Economic Dispatch of Active Distribution Network Based on Improved Two-stage Robust Optimization

被引:0
|
作者
Sui Q. [1 ]
Lin X. [1 ]
Tong N. [1 ]
Li X. [2 ]
Wang Z. [1 ]
Hu Z. [1 ]
Li Z. [1 ]
Sun S. [1 ]
机构
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province
[2] College of Electrical Engineering and New Energy, Three Gorges University, Yichang, 443002, Hubei Province
基金
中国国家自然科学基金;
关键词
Active distribution network; Improved two-stage robust optimization model; Master-sub problem iteration; MES&VES; Mixed integer second-order cone programming;
D O I
10.13334/j.0258-8013.pcsee.182259
中图分类号
学科分类号
摘要
An active-distribution-network economic dispatching strategy based on improved two-stage robust optimization model was proposed in this paper to solve problems of unqualified voltage quality and poor operation economy in multi-source distribution network. Firstly, a unified multi-storage-energy model was established by analyzing the space-time transfer characteristics of the electricity-driven mobile energy storage (MES), and evaluating the regulation ability of the virtual energy storage (VES) based on the inverter air conditioning. Then, considering the prediction error, the existing robust optimization method was improved to obtain more accurate "worst scenarios" by discretizing the uncertainty domain. On this basis, a decomposed master problem and sub problem were proposed to solve interactively the improved two-stage robust optimization model with the min-max-min structure. Simulation results based on 41-node distribution network show that the active distribution network economic dispatching based on robust risk preference model is feasible and the corresponding algorithm is efficient. This paper provides a new perspective for the safe and economic operation of distribution network. © 2020 Chin. Soc. for Elec. Eng.
引用
收藏
页码:2166 / 2179
页数:13
相关论文
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