Optimization Control Strategy of Distributed Energy Storage in Autonomous Microgrid Cluster on Consensus Algorithm

被引：0
|
作者：
Zhang B. [1 ]
Wang J. [1 ]
Liang D. [1 ]
Han X. [1 ]
机构：
[1] Shanxi Key Lab of Power System Operation and Control, Taiyuan University of Technology, Taiyuan, 030024, Shanxi Province
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Battery storage; Consensus algorithm; Economic control; Incremental cost;
D O I：
10.13335/j.1000-3673.pst.2019.1968
中图分类号：
学科分类号：
摘要：
Aiming at the problem of high operating cost caused by the charging/discharging loss of distributed battery energy storage and the transmission loss, this paper proposes a distributed energy storage control strategy concerning the economic purpose in the microgrid cluster. In this method, the operating cost model of the battery energy storage system is constructed with the transmission losses. This operating cost model obtain the solution with the consensus algorithm in order to optimize the proper power allocation between the battery energy storage systems. The proposed strategy utilizes a distributed controller to exchange information between the neighboring agents, which obtains fast response, flexible communication network and high robustness. An microgrid cluster model is built with four autonomous microgrids in the real-time digital simulator RTDS. The effectiveness and economics of the proposed control strategy were verified under the different simulation scenarios. © 2020, Power System Technology Press. All right reserved.
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页码：1705 / 1713
页数：8
相关论文
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