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作 者:徐艳春[1] 高永康 李振兴[1] 李振华[1] 吕密[2] XU Yanchun;GAO Yongkang;LI Zhenxing;LI Zhenhua;LU Mi(China Three Gorges University, College of Electrical Engineering and New Energy, Yichang 443000, Hubei Province, China;Department of Electrical and Computer Engineering, Texas A&M University, Texas, 77065, USA)
机构地区:[1]三峡大学电气与新能源学院,湖北省宜昌市443000 [2]德州农工大学电气与计算机工程系,美国得克萨斯77065
出 处:《中国电机工程学报》2019年第16期4786-4798,共13页Proceedings of the CSEE
基 金:国家自然科学基金项目(51507091)~~
摘 要:针对分布式能源(distributed energy,DG)接入配电网时电能质量(powerquality,PQ)的监测问题,该文采用变分模态分解(variational mode decomposition,VMD)初始化S变换技术,对接入配电网的DG类型以及因操作事件改变而产生的不同特征PQ扰动进行检测并分类识别。首先,从PQ扰动信号中提取F1、F2特征量,作为接入混合动力系统分布式能源分类的标准;其次通过VMD初始化S变换,从S变换矩阵中提取F3~F7特征量作为模糊C均值(fuzzy c-means,FCM)聚类算法的输入,对每种分布式能源接入条件下由于操作事件改变引起的PQ扰动进行分类。在所提方法和现有方法之间进行百分比准确性比较,验证所提算法的有效性;最后提出电能质量评价指标,并在该指标下对9类扰动情况的电能质量影响因子进行评估。Aiming at the monitor of power quality(PQ)disturbance while the distributed energy(DG) is connected to distribution network, variational mode decomposition(VMD)initialization S transform technology was adopted in this paper to detect and classify the different characteristic PQ disturbances caused by DG types and operation events. Firstly,the features F1 and F2 were extracted from the PQ disturbance signals as the criteria of distributed energy classification for access hybrid power systems;secondly, the features F3-F7 were extracted from the S transformation matrix by VMD initialization as the input of fuzzy c-means(FCM) clustering algorithm, and the PQ caused by the change of operation events under each distributed energy access condition was processed.Meanwhile disturbances were classified. The comparison of percentage accuracy between the proposed method and the existing method was done and it verifies the effectiveness in the proposed algorithm. Finally, the power quality evaluation index was proposed, and the impact factors of PQ under nine types of disturbances were evaluated.
关 键 词:配电网 电能质量 特征量提取 变分模态分解(VMD)
分 类 号:TM93[电气工程—电力电子与电力传动]
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