基于云模型的DFIG型风电场动态电压等值方法  

Cloud Model based DFIG Wind Farm Dynamic Voltage Equivalence Method

作　　者：周明 葛江北 李庚银 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京市昌平区102206

出　　处：《中国电机工程学报》2015年第5期1097-1105,共9页Proceedings of the CSEE

基　　金：国家自然科学基金项目(51177043);国家863高技术基金项目(2012AA050208)~~

摘　　要：几起大的风电场连锁切机事故分析表明风电场动态电压失稳是导致这类事件的共同原因,而现有关于风电场等值和建模的研究极少涉及风电场动态电压过程。以风电场动态电压为切入点,考虑风电机组的低电压穿越特性、无功补偿情况、风机出力随机性、风电场集电系统以及外部故障的随机性,借助能很好描述随机性和模糊性的云模型,提出基于云模型的风电场动态电压等值方法。建立基于云模型的风电机组分群指标,采用k-means聚类算法对风电场进行聚类等值,提出适合风电场动态电压等值的集电系统链式重构方法。将所建立的风电场动态电压等值模型应用于分析风电场连锁脱网事故,结果表明,所建等值模型能够很好地反映风电机组的连锁脱网动态过程,也为进一步分析含大型风电场的电力系统动态稳定提供模型支持。Several serious wind farm cascading tripping events imply that dynamic voltage instability is the common cause of them, while the present wind farm equivalence and modeling approaches are less concerned wind farm dynamic voltage process. This paper took wind farm dynamic voltage process as the focus, studied the clustering and equivalence approaches of large scale wind farm based on cloud model which can describe randomness and fuzziness simultaneously very well. Wind turbine generator （WTG）＇s low voltage ride through capability, reactive compensation, WTG output, collector system and external fault were taken into account. The WTGs were clustered by the feature indices given by the cloud model method, were then equivalent by the k-means cluster algorithm. The chained reconfiguration approach was proposed to represent the effect of the collector system on dynamic voltage process. The proposed wind farm dynamic equivalent model was applied to simulate analyzing WTGs cascading trip-off, and compared with the detailed wind farm model. The results show that the proposed equivalent model could simulate the cascading tripping process well The research achievements provide the model support for analyzing dynamic stability of power systems with large scale wind farm.

关 键 词：风电场 双馈感应发电机 云模型 动态电压过程 时空特性 集电系统重构 连锁脱网 

分 类 号：TM74[电气工程—电力系统及自动化]