标题:Optimal Allocation Strategy of Energy Storage in Distribution Network Considering Power Four-quadrant Output [考虑功率四象限输出的配电网储能优化配置策略]
作者:Jia Z.; Zhang F.; Ding L.
作者机构:[Jia, Z] Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Jinan, 250061, China;[ Zhang, F] Key Laboratory of Powe 更多
通讯作者:Zhang, F(fengzhang@mail.sdu.edu.cn)
通讯作者地址:[Zhang, F] Key Laboratory of Power System Intelligent Dispatch and Control, Shandong UniversityChina;
来源:Dianli Xitong Zidonghua/Automation of Electric Power Systems
出版年:2020
卷:44
期:2
页码:105-113
DOI:10.7500/AEPS20190411009
关键词:Battery energy storage system; Distribution network; Economic benefit; Power four-quadrant output; Siting and sizing; Voltage quality
摘要:Distributed generators with high permeability cause voltage quality problems such as voltage deviation and fluctuation, and increase network loss as well. Aiming at this problem and taking configuration of energy storage as a solution, the optimal allocation strategy of energy storage location and capacity of distribution network is put forward combined with the power four-quadrant output control strategy of the battery energy storage system, which aims at improving the economic benefit and voltage quality of the distribution network. Specifically, an economic operation model for distribution network with the goal of minimizing the sum of purchase cost, network loss cost and investment cost is constructed. The time scale is set as 15 min for rolling calculation, and the lowest total cost in a typical day is used to choose the siting and sizing of storage. Meanwhile, the migration and fluctuation range of each node voltage is constrained, and the mixed integer second-order cone mathematical programming is used to optimize the solution. The simulation results of IEEE 33-bus distribution network demonstrate the feasibility and efficiency of the proposed optimal configuration method. © 2020 Automation of Electric Power Systems Press.
收录类别:SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080089652&doi=10.7500%2fAEPS20190411009&partnerID=40&md5=a8b5dd11f4f97932f37c861d8a4ddf2a
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