• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2019, Vol. 40 ›› Issue (12): 38-44.doi: 10.3969/j.issn.1000-7229.2019.12.005

• 电力系统弹性与灵活性 ·栏目主持 文福拴教授、林振智副教授· • 上一篇    下一篇

计及负荷侧关键基础设施耦合性的配电网恢复优化决策方法

高天乐,李佳旭,王颖,许寅   

  1. 北京交通大学电气工程学院,北京市 100044
  • 出版日期:2019-12-01
  • 作者简介:高天乐(1996),男,本科生,主要研究方向为配电网故障恢复; 李佳旭(1994),男,博士研究生,主要研究方向为配电网故障恢复; 王颖(1992),女,博士研究生,主要研究方向为电力系统韧性、配电网故障恢复; 许寅(1986),男,教授,博士生导师,主要研究方向为配电网故障恢复、电力系统韧性、电力系统电磁暂态仿真。
  • 基金资助:
    国家自然科学基金项目(51807004)

Optimization Decision-Making Method for Distribution Network Restoration Considering the Interdependency of Critical Infrastructure on Load Side

GAO Tianle,LI Jiaxu,WANG Ying,XU Yin   

  1. School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China
  • Online:2019-12-01
  • Supported by:
    This work is supported by National Natural Science Foundation of China(No. 51807004).

摘要: 由极端事件引发的大停电事故发生后,可利用配电网本地电源优先恢复关键基础设施负荷,从而快速恢复关键基础设施的部分或全部功能。然而,关键基础设施之间存在复杂的耦合性,且这种耦合性关系不易挖掘。若在恢复决策中对上述耦合性考虑不足,则可能造成即使恢复了某一关键基础设施的电力供应,但该关键基础设施仍无法正常运转的后果。针对此问题,文章首先挖掘极端事件后电力负荷侧关键基础设施耦合性关系,并建立可解析表达的耦合性数学模型;然后,结合耦合性模型,以最大化关键基础设施运行能力为目标,提出考虑关键基础设施耦合性的配电网恢复优化决策问题的混合整数二阶锥规划(mixed integer second-order cone program,MISOCP)模型,该模型可利用成熟的优化求解器进行有效求解;最后,设计算例验证提出的配电网恢复决策模型的有效性,通过对比说明考虑关键基础设施耦合性的恢复策略的优势。

关键词: 配电网恢复, 关键基础设施耦合性, 韧性

Abstract: After a blackout caused by an extreme event, the local power sources in the distribution network can be used for service restoration to critical infrastructure loads to quickly restore some or all functions of critical infrastructure. However, the infrastructure interdependency is complicated and difficult to model. When making decisions on restoration strategy for critical loads, insufficient consideration of the infrastructure interdependency may result in the abnormal operation of infrastructures even if the power service is restored. To tackle the issue, this paper firstly explores the interdependency of critical infrastructures and establishes the interdependency models that can be analytically expressed. Considering the interdependency models, a mixed integer second-order cone program (MISOCP) for restoration decision-making is proposed to maximize the critical infrastructure functions and restored loads. The MISOCP model can be solved efficiently by off-the-shelf optimization solvers. Finally, the proposed decision-making method is demonstrated on a test case and the effectiveness of the proposed method is validated.

Key words: distribution network restoration, critical infrastructure interdependency, resilience

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