基于模糊聚类和状态均匀性的电网安全风险评估

Xiaoxiao Qi, Wen-Lung Huang, Huaqiang Li, Yongjun Yu, Dagui Liu
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引用次数: 3

摘要

电网安全风险评估对于预防灾难性故障具有重要意义。针对现有安全风险评估方法在严重性指标可比性和可理解性方面存在的不足,提出了一种基于模糊聚类分析的安全风险评估方法。该方法运用运行可靠性理论,建立电网故障模型。基于熵理论构建系统状态熵,克服了传统严重性模型对状态同质性考虑不足的不足。参考指标的可比性,采用模糊聚类法计算全局系统严重性指标。通过对IEEE30系统仿真分析,证明该方法能够有效识别N-1和N-k个突发风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power grid security risk assessment based on fuzzy cluster and state homogeneity
The power grid security risk assessment is of great significance for preventing catastrophic failures. Due to the shortcomings of the existing security risk assessment methods in comparability and understandability of severity index, a security risk assessment method based on fuzzy cluster analysis is put forward. The method uses operational reliability theory, to build the grid failure model. based on the entropy theory, building system state entropy overcomes the shortage of traditional severity model which consider state homogeneity insufficiently. Refer to the comparability of index, using the fuzzy cluster method calculate global system severity index. Through analyzing the IEEE30 system simulation, it proves that the method can effectively identify N-1 and N-k contingency risks.
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