上海交通大学学报

上海交通大学学报 >

2025 , Vol. 59 >Issue 9: 1338 - 1347

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.535

新型电力系统与综合能源

构建灾害风险图谱提高电力系统安全调度能力

  • 解大 ,
  • 李子怡 ,
  • 田洲 ,
  • 王凯
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  • 1 上海电力大学 电气工程学院, 上海 200090
    2 上海交通大学 电子信息与电气工程学院, 上海 200240
    3 国家电网有限公司华东分部, 上海 200120
解 大(1969—),教授,博士生导师,主要研究方向为电力系统、能源互联网、新能源系统分析等;E-mail:xieda@sjtu.edu.cn.

收稿日期: 2023-10-23

  修回日期: 2023-12-29

  录用日期: 2024-01-17

  网络出版日期: 2024-02-20

基金资助

国家电网有限公司华东分部科技项目(SGHD0000AZJS2310392)

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Disaster Risk Mapping for Improving Power System Security Dispatch

  • XIE Da ,
  • LI Ziyi ,
  • TIAN Zhou ,
  • WANG Kai
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  • 1 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2 School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    3 East China Branch of State Grid Corporation of China, Shanghai 200120, China

Received date: 2023-10-23

  Revised date: 2023-12-29

  Accepted date: 2024-01-17

  Online published: 2024-02-20

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摘要

严重的地质灾害会导致大停电事故,从而影响电网的安全稳定运行.针对地质灾害对电网的影响,提出一种基于灾害风险图谱的电力系统安全调度策略.首先,构建多种灾害影响因子的灾害风险图谱,并将该图谱与输电线路的地理位置相结合,得到输电线路的危险情况;然后,建立电力系统运行风险模型,通过风险综合指标对电力系统的风险情况进行量化分析;最后,以新英格兰地区为例,采用粒子群算法构建发电机和灵活性资源的调节策略,并验证其有效性和可行性.结果表明,所提电力系统安全调度策略可以有效减少包括电力系统越限/重载风险在内的风险综合指标值,增强电网运行的安全性和稳定性.

关键词： 地质灾害; 风险图谱; 越限/重载风险; 灵活性资源

本文引用格式

解大 , 李子怡 , 田洲 , 王凯 . 构建灾害风险图谱提高电力系统安全调度能力[J]. 上海交通大学学报, 2025 , 59(9) : 1338 -1347 . DOI: 10.16183/j.cnki.jsjtu.2023.535

Abstract

Severe geological disasters can lead to major power outages, posing serious threats to the safe and stable operation of power grids. To address the impact of geologic disasters on power grids, a power system security scheduling strategy based on disaster risk mapping is proposed. First, a disaster risk mapping strategy is constructed based on a variety of disaster impact factors, and the hazardous situation of the transmission line is obtained by overlaying this map with the geographic location of the transmission line. Then, a power system operation risk model is established to quantitatively analyze the risk of the system using composite risk indexes. Finally, a particle swarm algorithm is used to construct the regulation strategy of generators and flexibility resources using the New England power system as a case study to validate the effectiveness and feasibility of the strategy. The results show that the proposed power system security scheduling strategy can effectively reduce the comprehensive risk indicators, including the risk of power system overrun/heavy load, enhancing the security and stability of power grid operations.

Key words： geohazards; risk mapping; overrun/heavy load risk; flexibility resources

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