基于改进模糊C均值聚类算法的区域集中式光伏发电系统动态分群建模.PDFVIP

第41 卷 第10 期 电 网 技 术 Vol. 41 No. 10 2017 年10 月 Power System Technology Oct. 2017 文章编号：1000-3673 （2017 ）10-3284-08 中图分类号：TM 721 文献标志码：A 学科代码：470·4051 基于改进模糊C 均值聚类算法的区域集中式光伏 发电系统动态分群建模 盛万兴，季宇，吴鸣，刘海涛，寇凌峰 （中国电力科学研究院，北京市 海淀区 100192 ） Dynamic Clustering Modeling of Regional Centralized Photovoltaic Power Plant Based on Improved Fuzzy C-Means Clustering Algorithm SHENG Wanxing, JI Yu, WU Ming, LIU Haitao, KOU Lingfeng (China Electric Power Research Institute, Haidian District, Beijing 100192, China) 1ABSTRACT: With PV inverter as the core part, a dynamic 真验证及误差分析，结果表明，提出的动态分群建模方法是 clustering modeling method of regional centralized 合理的，建立的多机等值模型兼顾了模型精度和等值化简的 photovoltaic (PV) power station is proposed in this paper. This 需求，具有较高的应用价值。 method, taking control parameter vectors of PV inverter and its 关键词：区域集中式光伏发电系统；逆变器；动态分群；灵 sensitivity coefficient corresponding to output trajectory as 敏度分析；FCM 算法 clustering index, adopts improved fuzzy C-means (FCM) DOI ：10.13335/j.1000-3673.pst.2017.1861 algorithm to get clustering results of PV power generation units at different operating conditions. The same cluster of PV power 0 引言 generation units are merged into an equivalent PV power 当今社会环境污染和能源短缺问题日益严重， generation unit to establish an equivalent multi-device model of regional centralized PV power plant. Through simulation 光伏发电以其清洁、可再生的特点在我国获得迅速 verification and error analysis, the result shows that the 发展。由于光伏发电的出力受到外界光照强度、温 proposed dynamic clustering modeling method