基于模糊聚类的电网谐波综合评估方法

Application of Fuzzy Clustering on Power Grid Harmonic Comprehensive Evaluation

为构建绿色电网,科学考察谐波污染情况,构建了一种基于模糊聚类算法的电网谐波综合评估方法。采用谐波评估的各项指标作为特征值,将已知的谐波评估等级数据加入到量测样本数据中,共同组成综合评估样本数据集,利用模糊聚类算法进行聚类分析,得到包含各个谐波评估等级的聚类结果,从而实现对样本数据的综合评估,达到考察谐波污染情况的目的。通过实例数据的计算,验证了方法的有效性。

For building green power grid and inspecting the situation of harmonic pollution scientifically, a comprehensive evaluation method of harmonic based on fuzzy clustering is proposed. It uses the indexes of harmonic assessment as feature values, and adds the known level data of harmonic to the measured sample data, so the sample data sets of comprehensive evaluation have been constituted. By fuzzy clustering algorithm, the clustering results including all harmonic assessment levels have been obtained, and then the comprehensive evaluation has completed. Computer results show this method is effective.