Multi-objective restoration optimisation of power systems with battery energy storage systems

被引:52
|
作者
Liu, Weijia [1 ]
Sun, Lei [1 ]
Lin, Zhenzhi [1 ]
Wen, Fushuan [1 ,2 ]
Xue, Yusheng [3 ]
机构
[1] Zhejiang Univ, Sch Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Univ Teknol Brunei, Dept Elect & Elect Engn, BE-1410 Bandar Seri Begawan, Brunei
[3] State Grid Elect Power Res Inst, Nanjing 210003, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
OPTIMAL ALLOCATION; ALGORITHM;
D O I
10.1049/iet-gtd.2015.0434
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The applications of battery energy storage systems (BESSs) in power systems have been paid increasing attention in recent years. Apart from all the benefits that BESSs can bring to the power systems, their potential applications in assisting power system restoration after a major blackout have not yet been systematically investigated. The flexible charging and discharging characteristics of BESSs could help maintain the balance between power supply and demand during the system restoration process, thus the recovery speed of the power system concerned after a blackout could be accelerated. Given this background, the applications of BESSs in power system restoration is investigated. First, the potential applications of BESSs during power system restoration process are discussed. A multi-objective optimisation model is next proposed, aiming at minimising the number of circuit breaker operations and outage durations of both the non-black-start generating units and the important loads. Meanwhile, the application of intermittent renewable energy sources for improving power system restoration is also discussed. The operation strategy of BESSs will also be optimised after the system restoration scheme is attained through the multi-objective optimisation. The proposed method is demonstrated by numerical tests on the IEEE 30-bus and 162-bus test systems.
引用
收藏
页码:1749 / 1757
页数:9
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