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基于K-means的城市配电网运行状态分层评估策略 被引量:2

Hierarchical Evaluation Strategy for the Distribution Network Operation State Based on K-means
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摘要 为了应对主动配电网中监测点有限、运行信息不完备给状态评估带来的挑战,提出了K-means分层评估策略。该策略包含基础层、中间层和输出层三部分。基础层采用了K-means聚类算法,将局部区段的不完备历史监测信息进行无监督分类,并根据历史故障记录信息,评估每簇中的各评估区段的故障概率。中间层提出了区段复合故障概率求解算法,根据监测区段实时采样数据矩阵到各簇的距离,计算实时监测数据属于各簇的概率,并结合每簇中各区段发生故障的概率,求得各区段发生故障的复合概率。输出层提出了最大复合概率评估算法,以各区段发生故障的最大复合概率作为整体运行状态评估系数,评估主动配电网运行状态等级。上述策略在某城市配电网的MATLAB/Simulink模型上进行测试,测试结果表明,所提出的策略可有效发现主动配电网的脆弱区段,科学评估主动配电网的实时运行状态。 In order to deal with the challenges posed by the limited monitoring points and incomplete operation information of the active distribution network,a hierarchical evaluation strategy using the K-means clustering algorithm is proposed.The proposed strategy consists of three levels:the basic level,the middle level and the output level.The basic layer adopts K-means clustering algorithm to classify the incomplete historical monitoring information of local sections unsupervised.According to the historical fault record information,the fault probability of each evaluation section in each cluster is evaluated.According to the distance between the real-time sampling data matrix of monitoring section and each cluster,the probability of real-time monitoring data belonging to each cluster is calculated.Combined with the fault probability of each section in each cluster,the fault composite probability of each section is obtained.In the output layer,the maximum composite probability evaluation algorithm is proposed,which takes the maximum composite probability of each section fault as the overall operation state evaluation coefficient to evaluate the operation state level of active distribution network.The above strategies are tested on the MATLAB/Simulink model of a city distribution network.The test results show that the proposed strategy can effectively find the vulnerable sections of the active distribution network and scientifically evaluate the real-time operation status of the active distribution network.
作者 陈旸 李家睿 沈忠旗 连鸿波 CHEN Yang;LI Jiarui;SHEN Zhongqi;LIAN Hongbo(State Grid Songjiang Power Supply Company,Shanghai 201617,China)
出处 《电工技术》 2021年第14期111-114,116,共5页 Electric Engineering
关键词 主动配电网 分层评估 K-MEANS聚类算法 区段复合故障概率 active distribution network hierarchical evaluation K-means clustering algorithm regional composite failure probability
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