基于改进型K-均值算法的双馈风电场暂态等值研究  

Research on transient equivalence of doubly fed wind farm fased on improved K-means algorithm

作　　者：孙阳光 樊艳芳[1] 赵东杰 陈伟伟 李锋 Sun Yangguang;Fan Yanfangl;Zhao Dongjie;Chen Weiwei;Li Feng(School of Electrical Engineering, Xinjiang University, Urumqi 830047, China;Suzhou Power Supply Company of State Grid, Suzhou 234000, China;Institute of Economics and Technology of State Grid Xinjiang Power Company, Urumqi 830047, China)

机构地区：[1]新疆大学电气工程学院,新疆乌鲁木齐830047 [2]国网安徽宿州供电公司,安徽宿州234000 [3]国网新疆电力公司经济技术研究院,新疆乌鲁木齐830047

出　　处：《可再生能源》2018年第5期719-725,共7页Renewable Energy Resources

基　　金：国家自然科学基金(51467019)

摘　　要：针对DFIG风电场单机等值精度较差问题,建立了一种基于改进型K-均值算法的多机暂态等值模型,用来提高等值精度。首先选取能够反映风机暂态运行点的主导状态变量作为划分指标,并依此进行多机等值;然后,运用加权容量法对DFIG等值机相关参数进行计算。最后,对比了等值模型与详细模型在相同故障扰动时的特性曲线,结果验证了等值方案的有效性。Aiming at the problem of single-machine equivalence accuracy of DFIG wind farm, a multi-machine transient equivalent model based on improved K-means algorithm was established to improve the equivalent accuracy. The article first selects the dominant state variables that can reflect the transient operating point of the wind turbine as indexs, and use them to perform multimachine equivalent. The related parameters of equivalent DFIG are calculated using the weighted capacity method. Finally, the characteristic curves of equivalent model and detailed model in the same fault disturbance are compared. The results verify the effectiveness of the equivalent scheme.

关 键 词：风电场 DFIG 分群指标 改进型K-均值算法 暂态等值 

分 类 号：TK81[动力工程及工程热物理—流体机械及工程]