冰雪灾害背景下电网投资优化和韧性提升模型

doi:10.16381/j.cnki.issn1003-207x.2020.03.013

中国管理科学 ›› 2020, Vol. 28 ›› Issue (3): 122-131.doi: 10.16381/j.cnki.issn1003-207x.2020.03.013

冰雪灾害背景下电网投资优化和韧性提升模型

李京, 王国庆, 朱建明, 徐康

中国科学院大学工程科学学院, 北京 100190

收稿日期:2018-12-17 修回日期:2019-09-02 出版日期:2020-03-20 发布日期:2020-04-08
通讯作者: 王国庆(1975-),男(汉族),河南焦作人,中国科学院大学工程科学学院,副教授,研究方向:应急管理、风险管理,E-mail:wgq94@ucas.ac.cn. E-mail:wgq94@ucas.ac.cn
基金资助:
国家自然科学基金资助项目（71673260，71001100）

Investment Optimization and Resilience Enhancement of Power System under Ice Storm Disaster

LI Jing, WANG Guo-qing, ZHU Jian-ming, XU Kang

School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100190, China

Received:2018-12-17 Revised:2019-09-02 Online:2020-03-20 Published:2020-04-08

摘要/Abstract

摘要： 韧性研究尤其针对基础设施已经是当今越来越热门的研究话题，电网是社会正常运转的关键基础，雨雪冰冻等自然灾害会严重破坏电网系统，因此针对自然灾害下电网韧性提升至关重要。本文将从韧性视角对电网设施进行投资规划以减少电网系统损失，同时兼顾投资者的投资效益问题。通过建立一种设计者-攻击者-防御者三层数学模型，综合考虑电网韧性的吸收力与适应力提升，选取电网线路分级别保护和增添直流融冰设备作为投资策略来最小化雨雪冰冻的消极影响，实现了对电网系统差异化的动态保护。本文的三层优化模型通过设计的两层C&CG算法进行求解。通过对云南曲靖电网的算例结果进行分析，验证了从韧性视角综合考虑电网投资问题的合理性。

关键词: 电网投资规划, 冰雪灾害, 韧性, 分级别保护, 动态保护, 设计者-攻击者-防御者模型

Abstract: In recent years, resilience has become a hot topic in different research areas especially in infrastructure. Power system is the key to ensure the normal operation of hospital, school and other organizations. Natural disasters like ice storm have a great impact on the substation and transmission line, causing power outage and malfunction to users. So it’s important to enhance resilience of power grid and protect it from natural attacks. A resilience-oriented investment planning on power system infrastructure to minimize the load shedding and the investment budget is considered in this paper. A designer-attacker-defender model is proposed to enhance power system resilience in absorption and adaption. Transmission lines classification protection and DC deicer devices are taken into account as investment strategies to minimize impacts of ice storm. Differentiated dynamic protection is achieved. Tri-level optimization model is solved by two-level column and constraint generation algorithm(C&CG). Numerical simulation on power system of Qujing in Yunnan province is performed to demonstrate the rationality and effectiveness of the resilience-oriented investment planning.

Key words: grid investment planning, ice storm, resilience, classification protection, dynamic protection, designer-attacker-defender model

中图分类号:

O224

李京, 王国庆, 朱建明, 徐康. 冰雪灾害背景下电网投资优化和韧性提升模型[J]. 中国管理科学, 2020, 28(3): 122-131.

LI Jing, WANG Guo-qing, ZHU Jian-ming, XU Kang. Investment Optimization and Resilience Enhancement of Power System under Ice Storm Disaster[J]. Chinese Journal of Management Science, 2020, 28(3): 122-131.

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冰雪灾害背景下电网投资优化和韧性提升模型

Investment Optimization and Resilience Enhancement of Power System under Ice Storm Disaster

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