Resilience Enhancement for a Power System with Electric Vehicles under Extreme Weather Conditions

Fang Yao, Jiawei Wang, F. Wen, Junhua Zhao, Xingyong Zhao, Weijia Liu
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引用次数: 1

Abstract

In this paper, a resilience enhancement model is presented for a power system with plug-in electric vehicles (EVs) under extreme weather conditions. The proposed methodological framework is formulated as a two stage/tri-level robust mixed-integer optimization model. In order to solve this model, an algorithm based on nested column-and-constraint generation (NC&CG) is developed. Numerical simulations of a sample power system validate the effectiveness of the developed framework and the efficiency of the solving methodology.
极端天气条件下电动汽车电力系统的弹性增强
针对插电式电动汽车电力系统,提出了一种极端天气条件下的弹性增强模型。提出的方法框架是一个两阶段/三层鲁棒混合整数优化模型。为了求解该模型,提出了一种基于嵌套列约束生成(NC&CG)的算法。一个电力系统的数值仿真验证了所建框架的有效性和求解方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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