中国电力 ›› 2022, Vol. 55 ›› Issue (9): 23-28.DOI: 10.11930/j.issn.1004-9649.202202047

• 面向“双高”电力系统的电、热、氢储能应用与协同 • 上一篇    下一篇

基于运行优化的含储能电力系统可靠性评估方法

张黎明1, 李浩1, 吴亚雄1, 高崇1, 张俊潇1, 刘涌2   

  1. 1. 广东电网有限责任公司 电网规划研究中心,广东 广州 510080;
    2. 上海博英信息科技有限公司,上海 200240
  • 收稿日期:2022-02-21 修回日期:2022-08-07 出版日期:2022-09-28 发布日期:2022-09-20
  • 作者简介:张黎明(1993—),男,硕士,助理工程师,从事电力系统规划与运行研究,E-mail:lmzwind@163.com;李浩(1991—),男,硕士,工程师,从事电力系统规划与运行研究,E-mail:467588975@qq.com;刘涌(1976—),男,通信作者,博士,高级工程师,从事电力系统规划与运行研究,E-mail:yongliu888@163.com
  • 基金资助:
    中国南方电网有限责任公司科技项目(GDKJXM20220273);广东电网有限责任公司电力规划专题项目(031000QQ00210004)

A Reliability Evaluation Method for Power System with Energy Storage Based on Operation Optimization

ZHANG Liming1, LI Hao1, WU Yaxiong1, GAO Chong1, ZHANG Junxiao1, LIU Yong2   

  1. 1. Grid Planning and Research Center, Guangdong Power Grid Company, Guangzhou 510080, China;
    2. Shanghai Proinvent Information Tech Co., Ltd., Shanghai 200240, China
  • Received:2022-02-21 Revised:2022-08-07 Online:2022-09-28 Published:2022-09-20
  • Supported by:
    This work is supported by Science and Technology Project of China Southern Power Grid Corporation (No.GDKJXM20220273), Special Power Planning Project of Guangdong Power Grid Company (No.031000QQ00210004).

摘要: 针对传统可靠性评估方法容易导致停电损失的问题,提出基于运行优化的含储能的电力系统可靠性评估方法。首先,根据分布式电源出力建立概率模型,并在峰谷电价机制下,建立受利益驱动影响的储能概率模型;然后,根据故障类型细化故障隔离范围,对非故障隔离区域进行孤岛划分和功率匹配,减少停电损失;最后,提出了基于序贯蒙特卡罗的可靠性评估方法,通过仿真验证了该方法的有效性。

关键词: 新型电力系统, 分布式电源, 储能, 运行优化

Abstract: In view of the problem that the traditional reliability evaluation method often leads to outage loss of power system, a new reliability evaluation method is proposed for power system with energy storage based on operation optimization. Firstly, a probabilistic model is established according to distributed generation output, and a profit-driven energy storage probability model is established under the peak-valley price mechanism. Secondly, the fault isolation range is refined according to fault types, and the non-fault isolation area is islanded and power matched through network reconfiguration to minimize power outage losses. Finally, a sequential Monte Carlo based reliability evaluation method is proposed. The effectiveness of method is verified through simulation.

Key words: new power system, distributed generation, energy storage, operation optimization