Distributionally Robust Resilience Enhancement Model for the Power Distribution System Considering the Uncertainty of Natural Disasters

Lin Yi, L. Meng, Wu Wei, Xue Jingwei, Sun Jiawei, Wang Zekai, Ding Tao
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引用次数: 1

Abstract

Natural disasters with high risk and lower occurrence probability have attracted much more concern in recent years. In this paper, we proposed a distributionally robust resilience enhancement model for the distribution power system, in which the uncertainties of natural disasters are also taken into consideration. The ambiguity of the DRRM is constructed based on the branch outage probability, and the nested CCG algorithm is applied to solve the proposed model. The DRRM has been verified in the IEEE 33-bus distribution system. Case studies showed that the proposed model can reach a more effective and economic reinforcement strategy for the power distribution system.
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考虑自然灾害不确定性的配电系统分布式鲁棒恢复力增强模型
近年来,高风险、低发生概率的自然灾害越来越受到人们的关注。本文提出了一种考虑自然灾害不确定性的配电系统鲁棒弹性增强模型。基于分支中断概率构造DRRM的模糊度,并采用嵌套CCG算法求解该模型。DRRM已在IEEE 33总线配电系统中得到验证。实例分析表明,该模型能够为配电系统提供一种更有效、更经济的加固策略。
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