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基于广义节点及熵理论的电网脆弱节点电压辨识方法

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在电力系统中为了避免发生一系列的连锁故障,需要给出评估电网中最具关键性的脆弱节点的相应指标和模型,考虑到传统直流输电系统对交流电网换相电压敏感性,提出一种基于广义节点及熵理论的电网脆弱节点电压辨识方法,该方法结合熵的一般性原则,将电网受到冲击时广义节点的奇异值熵、潮流分布和转移熵三者统一起来共同作为电网脆弱节点的辨识依据,并采用熵权值法修正AHP方法的手段获得综合权重系数,充分考虑了各指标的主客观影响因子,采用层次分析法和熵权值法获得脆弱节点综合评估模型的权重系数.最后通过IEEE 39 节点系统仿真结果验证了该方法对于电网整体性脆弱节点辨识的有效性和实际运用价值,证实了该方法可以有效衡量交流电网电压突变量对直流输电系统影响.
Voltage Identification Method for Fragile Nodes in Power Grid Based on Generalized Node and Entropy Theory
In order to avoid a series of cascading faults in the power system,it is necessary to provide corresponding indicators and models for evaluating the most critical vulnerable nodes in the power grid.Considering the sensitivity of traditional DC transmission systems to AC grid commutation voltage,a voltage identification method for vulnerable nodes in the power grid based on generalized node and entropy theory is proposed.This method combines the general principle of entropy,The singular value entropy,power flow distribution,and transfer entropy of generalized nodes when the power grid is impacted are unified as the identification basis for vulnerable nodes in the power grid.The entropy weight method is used to modify the AHP method to obtain comprehensive weight coefficients,fully considering the subjective and objective impact factors of each indicator.The weight coefficients of the comprehensive evaluation model for vulnerable nodes are obtained using the Analytic Hierarchy Process and entropy weight method.Finally,the effectiveness and practical application value of this method for identifying vulnerable nodes in the overall power grid were verified through IEEE 39 node system simulation results,confirming that this method can effectively measure the impact of AC grid voltage fluctuations on DC transmission systems.

generalized nodesvulnerabilitysingular value entropycurrent distribution entropycurrent transfer entropy

林沁庭、王永、郝跃东、马伟、许杨、张磊、靳生鹏

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三峡大学电气与新能源学院,湖北 宜昌 443002

国网上海市电力公司特高压换流站分公司,上海 201314

国网青海省电力公司超高压公司,青海 西宁 810008

广义节点 脆弱性 奇异值熵 潮流分布熵 潮流转移熵

国家电网上海市电力公司科技项目

52090V230002

2024

青海电力
青海电力科学试验研究院 青海省电机工程学会

青海电力

影响因子:0.26
ISSN:1006-8198
年,卷(期):2024.43(1)
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