基于广域测量系统的双馈风力发电机组在线参数辨识方法  

Online Parameter Identification Method of Doubly Fed Induction Generator Based on Wide Area Measurement System

作　　者：李振垚 摆世彬 方若水 孙小湘 田志浩 李尚远 甘德强[1] LI Zhenyao;BAI Shibin;FANG Ruoshui;SUN Xiaoxiang;TIAN Zhihao;LI Shangyuan;GAN Deqiang(College of Electrical Engineering,Zhejiang University,Hangzhou 310058,China;State Grid Ningxia Electric Power Company,Yinchuan 750001,China)

机构地区：[1]浙江大学电气学院,杭州310058 [2]国网宁夏电力有限公司,银川750001

出　　处：《南方电网技术》2021年第5期89-97,共9页Southern Power System Technology

基　　金：国家重点研发计划资助项目“智能电网技术与装备重点专项”(2016YFB0900600)。

摘　　要：随着电力系统广域测量系统(WAMS)的普遍应用,可以获得大量在线实测数据用于电力系统的计算与分析。本文基于WAMS实测数据对双馈风力发电机(DFIG)进行在线参数辨识方法研究。首先,建立了用于辨识的DFIG简化模型,并证明了基于WAMS实测数据的电力系统在线参数辨识是一个闭环辨识问题,运用预报误差法(PEM)可以解决闭环辨识问题。然后,提出了卡尔曼滤波法和数据转化法两种技术路线,对比了两者相同点和不同点。最后,通过宁夏电网风电场WAMS实测数据的仿真算例,证明了两种方法的有效性和可行性。With the wide area measurement system(WAMS)being widely used in power system,extensive online measured data can be obtained for power system analysis and calculation.In this paper,online parameter identification method of doubly fed induction generator(DFIG)is studied using WAMS data.Firstly,a simplified DFIG model for identification is established,and it is proved that online parameter identification of power system based on WAMS is a closed-loop identification,and this problem can be solved by using prediction error method(PEM).Then,the paper proposes two PEM implementations:Kalman filter method and data transformation method,and compares the similarities and differences between them.Finally,the effectiveness and feasibility of the two methods are validated by using WAMS data obtained from wind farm data in Ningxia Power Grid.

关 键 词：广域测量系统 双馈风机 闭环辨识 在线辨识 预报误差法 

分 类 号：TM74[电气工程—电力系统及自动化] TM315