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
相关论文
共 50 条
  • [31] Dynamic power distribution strategy using multi-objective collaborative optimization for hybrid energy storage systems
    Shao, Yuqing
    Zhang, Hongjuan
    Gao, Yan
    Jin, Baoquan
    JOURNAL OF POWER ELECTRONICS, 2023, 23 (10) : 1517 - 1528
  • [32] MULTI-OBJECTIVE DESIGN OPTIMIZATION FOR DISTRIBUTED ENERGY SYSTEMS WITH ENERGY STORAGE: A CASE STUDY
    Zhang, Jian
    Cho, Heejin
    Zhang, Hongguang
    Yang, Fubin
    PROCEEDINGS OF THE ASME POWER CONFERENCE, 2018, VOL 2, 2018,
  • [33] Multi-objective design optimisation of submarine electric drive systems
    Skinner, Benjamin A.
    Palmer, Patrick R.
    Parks, Geoffrey T.
    2007 IEEE ELECTRIC SHIP TECHNOLOGIES SYMPOSIUM, 2007, : 65 - +
  • [34] Model transformation for multi-objective architecture optimisation of dependable systems
    Mian, Zhibao
    Bottaci, Leonardo
    Papadopoulos, Yiannis
    Sharvia, Septavera
    Mahmud, Nidhal
    Advances in Intelligent Systems and Computing, 2015, 307 : 91 - 110
  • [35] Multi-objective fuzzy decision for optimum restoration plan of EHV large power systems
    Liu, Tianqi, 2000, Autom Electr Power Syst Press, Nanjing, China (24):
  • [36] A Stochastic Multi-Objective Framework for Optimal Scheduling of Energy Storage Systems in Microgrids
    Farzin, Hossein
    Fotuhi-Firuzabad, Mahmud
    Moeini-Aghtaie, Moein
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (01) : 117 - 127
  • [37] Robust multi-objective control of hybrid renewable microgeneration systems with energy storage
    Allison, John
    APPLIED THERMAL ENGINEERING, 2017, 114 : 1498 - 1506
  • [38] Application of Multi-Objective Evolutionary Algorithms in Automatic Restoration of Radial Power Distribution Systems
    Monte Fontenele, Nestor Rocha
    Melo, Lucas Silveira
    Saraiva Leao, Ruth Pastora
    Sampaio, Raimundo Furtado
    PROCEEDINGS OF THE 2016 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2016, : 33 - 40
  • [39] Multi-Objective Sizing of Energy Storage Systems (ESSs) and Capacitors in a Distribution System
    Delkhosh, Hamed
    Moghaddam, Mohsen Parsa
    Ghaedi, Mahdi
    2020 10TH SMART GRID CONFERENCE (SGC), 2020,
  • [40] Multi-objective optimal placement of energy storage systems in an active distribution network
    You, Yi
    Liu, Dong
    Zhong, Qing
    Yu, Nanhua
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2014, 38 (18): : 46 - 52