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Robustness analysis of power system dynamic process and repair strategy
Electric Power Systems Research ( IF 3.9 ) Pub Date : 2021-01-30 , DOI: 10.1016/j.epsr.2021.107046
Dongyue Zhou , Funian Hu , Shuliang WANG , Jun Chen

The growing importance of power systems in the development of modern society has increasingly drawn attention to the various dangers to which these systems are exposed. This paper proposes a dynamic response process analysis framework of power systems with the aim of exploring the response of the system when it encounters a fault and the repair process after the disaster. The analysis framework establishes three models to analyze power system structure and functional robustness: a purely topological model, an artificial flow model, and a direct current power flow model. We present different analysis metrics under different models, simulate three fault scenarios, and conduct an evaluation and analysis. According to the analysis results and considering the robust analysis conclusion and the concept of graph theory, we have formulated four repair strategies and made a simulated comparison of the repair processes. Taking IEEE39 and IEEE300 as examples, the effectiveness of the analysis framework is verified, the repair effect is verified, and the optimal repair strategy is determined.



中文翻译:

电力系统动态过程的鲁棒性分析及修复策略

电力系统在现代社会发展中的重要性日益提高,越来越引起人们对这些系统所面临的各种危险的关注。本文提出了电力系统动态响应过程分析框架,旨在探讨电力系统发生故障时的响应以及灾后的修复过程。该分析框架建立了三个模型来分析电力系统的结构和功能的鲁棒性:一个纯拓扑模型,一个人工流量模型和一个直流电力潮流模型。我们提出了不同模型下的不同分析指标,模拟了三种故障情况,并进行了评估和分析。根据分析结果并考虑稳健的分析结论和图论的概念,我们制定了四种维修策略,并对维修过程进行了模拟比较。以IEEE39和IEEE300为例,验证了分析框架的有效性,验证了修复效果,确定了最佳的修复策略。

更新日期:2021-02-01
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