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

Abstract

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

CLC Number:

O224

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

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