Coordinated Optimization of Multi-type Reserve in Virtual Power Plant Accommodated High Shares of Wind Power

被引：0

作者：

Lü M. ^{[1
]}

Lou S. ^{[1
]}

Liu J. ^{[2
]}

Wu Y. ^{[1
]}

Wang Z. ^{[2
]}

机构：

[1] Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology), Wuhan, 430074, Hubei Province

[2] State Power Economic Research Institute, Changping District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2018年 / 38卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Conditional value-at-risk (CVaR); Coordinated optimization; Cost-benefit analysis; Multi-type reserve capacity system; Virtual power plant (VPP);

D O I：

10.13334/j.0258-8013.pcsee.171724

中图分类号：

学科分类号：

摘要：

As an important class of structure in future power system with the integration of high shares of renewable energy resources, virtual power plant (VPP) integrated diversified distributed energy resources (DER) to promote renewable energy generation. In order to enhance the capability of VPP for wind power accommodation, “Generation-Load- Storage” multi-type reserve capacity system of VPP was established based on the composition characteristics of VPP, and a risk-based reserve decision method was proposed. Considering conditional value-at-risk (CVaR) as a tool to assess the risk loss produced by the uncertainty of wind, the coordinated optimal model of generation and reserve of diversified DERs was built based on a cost-benefit analysis. The rationality and effectiveness of the presented method and model were validated by numerical results. © 2018 Chin. Soc. for Elec. Eng.

引用

页码：2874 / 2882

页数：8

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