Source-Storage-Grid Joint Planning Method Considering Coupling Relationship of Wind Power Curtailment Events

被引:0
|
作者
Yang X. [1 ]
Guo Q. [1 ]
Liu X. [1 ]
Zhou Z. [2 ]
Yan G. [1 ]
Zhang H. [3 ]
机构
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin
[2] State Grid Jilin Electric Power Supply Company, Changchun
[3] Changchun Power Supply Company, State Grid Jilin Electric Power Supply Company, Changchun
关键词
energy storage; insufficient peak shaving; power system flexibility; source-storage-grid joint planning; transmission congestion; wind power curtailment;
D O I
10.7500/AEPS20220227005
中图分类号
学科分类号
摘要
Insufficient flexibility of power system and transmission congestion are two fundamental reasons for wind power curtailment, and they have a certain coupling relationship in time sequence. From the perspective of time-sharing reuse of energy storage, this paper uses the coupling relationship between wind power curtailment events to solve the problem of insufficient peak shaving and transmission congestion at the same time by configuring energy storage, and proposes a source-storage-grid joint planning method considering the coupling relationship of wind power curtailment events. Firstly, the generation mechanism of wind power curtailment due to insufficient peak regulation, blocking wind power curtailment and their coupling relationship are analyzed. Then, the influence of energy storage configuration on the installed capacity planning of source-side conventional units and the configuration of grid-side transmission capacity is analyzed. Secondly, this paper constructs a joint source-storage-grid planning model considering the conventional thermal power installation investment cost, energy storage investment cost, wind power curtailment penalty cost and transmission line expansion cost, and gives the solving process of the model. Finally, the effectiveness and feasibility of the proposed method are verified by the simulation of the transmission engineering system of a local power grid in Northeast China and Garver-6 node system. © 2023 Automation of Electric Power Systems Press. All rights reserved.
引用
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页码:53 / 60
页数:7
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