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基于熵权-层次分析法综合指标的电网关键线路辨识
引用本文:吴昊,朱自伟. 基于熵权-层次分析法综合指标的电网关键线路辨识[J]. 中国电力, 2020, 53(5): 39-47,55. DOI: 10.11930/j.issn.1004-9649.201909008
作者姓名:吴昊  朱自伟
作者单位:南昌大学 信息工程学院,江西 南昌 330031
基金项目:国家自然科学基金资助项目(面向微网复杂源荷环境的电能质量动态跟踪及实时检测方法研究,51867017)
摘    要:为准确辨识电网关键线路,首先从电网状态角度考虑,计及电网节点类型与线路负载率,基于泰尔熵理论提出电压变化量泰尔熵和潮流变化量泰尔熵;然后为使评估结果更符合复杂网络与实际电网结构模型,提出最大流传输贡献介数和平均接近中心性指标;最后结合熵权法和层次分析法对指标进行权重分配,得到既兼顾电网状态变化和电网拓扑结构,又结合客观数据并考虑主观经验的关键线路评估综合指标。通过IEEE 39节点标准系统进行测试,验证该综合指标的可行性和实用性。

关 键 词:电网状态  泰尔熵理论  复杂网络  电网结构  熵权法  层次分析法
收稿时间:2019-09-01
修稿时间:2020-01-26

Key Lines Identification in Power Grid Based on Comprehensive Index Calculated by the Entropy Weight-Analytical Hierarchy Process
WU Hao,ZHU Ziwei. Key Lines Identification in Power Grid Based on Comprehensive Index Calculated by the Entropy Weight-Analytical Hierarchy Process[J]. Electric Power, 2020, 53(5): 39-47,55. DOI: 10.11930/j.issn.1004-9649.201909008
Authors:WU Hao  ZHU Ziwei
Affiliation:School of Information and Engineering, Nanchang University, Nanchang 330031, China
Abstract:In order to accurately identify the key lines of the power grid, the paper firstly proposes the Theil entropy of voltage variation and power flow variation based on the Theil entropy theory, in view of the state of the power grid and with consideration of the types of grid nodes and line load rate. The maximum flow contribution betweenness and average closeness index is proposed, so as to make the evaluation results more consistent with the complex network and the actual grid structure model. the entropy weight method and the analytic hierarchy process are used to determine the weight of indexes, and the comprehensive evaluation index of the key lines are obtained, which not only takes into account the changes of the power grid state and the power grid structure, but also the objective data and subjective experience. The feasibility and practicability of the proposed comprehensive index are verified through the IEEE 39-bus system.
Keywords:power grid state  Theil entropy theory  complex network  grid structure  entropy weight method  analytic hierarchy process  
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