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A Graph-based Method for Vulnerability Analysis of Renewable Energy integrated Power Systems to Cascading Failures

机译:一种基于图形的可再生能源集成电力系统漏洞分析的基于图形方法,以级联故障

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摘要

A large amount of uncertainty introduced into power systems may affect the system vulnerability to cascading failures. The objectives of this study are to analyze the power system vulnerability to cascades considering higher security criteria and to analyze the variation of the power system vulnerability considering renewable energy integration. To this end, we use a graph-based model to reflect cascades propagation, which is constructed by a thermal inertia-based cascades model incorporating an N-k contingency sampling algorithm. Based on the graph model, comprehensive evaluation indices are proposed to analyze the power system vulnerability in terms of its variable operation state and different generation uncertainty levels. Results show that the graph-based method can reveal cascades propagation, and provides an effective way to visualize and analyze the system vulnerability. Results also show that power systems' vulnerability is sensitive to the variation of renewable generation, the system would be highly vulnerable to cascades when facing a large uncertainty level that exceeds a certain range. This implies that it is important to limit power systems to operate within the allowed uncertainty range. The proposed approach can help operators to test the system resilience and to analyze the scenario -based risk of systems.
机译:引入电力系统的大量不确定性可能会影响对级联故障的系统脆弱性。本研究的目标是分析考虑更高的安全标准的瀑布的电力系统漏洞,并分析考虑可再生能源集成的电力系统漏洞的变化。为此,我们使用基于图形的模型来反映级联传播,其由包含N-K应急采样算法的热惯性基础级联模型构成。基于图形模型,提出了综合评估指标,以在其可变操作状态和不同的产生不确定性水平方面分析电力系统漏洞。结果表明,基于图形的方法可以揭示级联传播,并提供了可视化和分析系统漏洞的有效方法。结果还表明,电力系统的漏洞对可再生生成的变化敏感,在面对超过一定范围的大不确定性水平时,系统将极容易受到瀑布的影响。这意味着重要的是限制电力系统在允许的不确定性范围内运行。所提出的方法可以帮助运营商测试系统恢复力并分析基于系统的风险。

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