摘要
提出了一种基于并网点暂态电压特性的聚类分群方法,即根据并网风电场受系统故障影响程度的不同,识别出动态行为相近的风电场群,进而实现同群风电场的协调控制。为验证所提方法的有效性,在高级可视化软件Powerworld建立了吉林西部电网仿真模型,并进行了聚类分析研究。仿真结果证明,该算法不仅结果相对稳定、符合电网实际情况,而且具有一定的脱网风电场动态识别功能。
A cluster grouping algorithm for grid-connected wind farms based on transient voltage characteristics at the connecting point is proposed, namely according to the different impacting extent of system faults on grid-connected wind farms the wind farm groups with similar dynamic behavior are identified, and further the coordinated control of wind farms in the same group can be implemented. To validate the effectiveness of the proposed algorithm, a simulation model of West Jilin power grid is built by advanced visualization sotiware Powerworld and study of cluster analysis is performed. Simulation results show that the calculation results by the proposed algorithm are relatively stable, besides the proposed algorithm possesses a certain function of dynamically identifying grid-disconnected wind farms.
出处
《电网技术》
EI
CSCD
北大核心
2011年第11期62-66,共5页
Power System Technology
基金
国家电网公司科技项目(20081360)
关键词
低电压穿越
暂态电压
聚类分群方法
吉林西部电网
动态识别
low voltage ride through （LVRT）
transient voltage
cluster grouping algorithm
West Jilin power grid
dynamic identification
