中国电机工程学报2012，Vol.32Issue(4)：11-19,9.
基于聚类算法的风电场动态等值
Dynamic Equivalence for Wind Farms Based on Clustering Algorithm
陈树勇 1王聪 2申洪 1高宁超 3朱琳 3兰华2
作者信息
- 1. 中国电力科学研究院,北京市海淀区100192
- 2. 东北电力大学,吉林省吉林市132012
- 3. 华北电力大学,北京市昌平区102206
- 折叠
摘要
Abstract
The running states of wind generators are not identical due to the influence of some factors（such as wake effect）.In order to improve the precision of the wind farm model for the actual operation,a dynamic equivalence modeling method that is suitable for doubly-fed wind generators was proposed.The state variables of matrix of the wind generators were adopted as cluster-dependent index.By using clustering algorithms,the data of matrix were divided into groups and the wind turbine generators in the same group were equivalent as a wind generator,therefore,the dynamic equivalence of the wind farm was realized.The faults at power system side and the change of wind velocity were simulated on PSD/BPA power system analysis platform and the results were compared to that of the traditional method.The simulation results show that it is reasonable that the state variables of simulation process were considered as cluster-dependent index.The dynamic characteristic of the new model is the same to that of the detailed model and it can be applied to describe the actual states of a wind farm.关键词
双馈式风力发电机/聚类算法/状态变量/动态等值/电力系统分析Key words
doubly-fed wind generators（DFWGs）/clustering algorithm/state variables/dynamic equivalence/power system analysis分类
信息技术与安全科学引用本文复制引用
陈树勇,王聪,申洪,高宁超,朱琳,兰华..基于聚类算法的风电场动态等值[J].中国电机工程学报,2012,32(4):11-19,9.
