基于PMU多点测量数据的中小水电机群等效模型辨识

Identification of Dynamic Equivalence Model of Hydro Generator Unit Group Based on Multi PMU Data

针对传统在线辨识等效模型存在多解的问题,提出了一种改进的辨识策略,利用联络线与研究系统内部多节点的动态过程作为目标函数,不仅保证了系统内外部各节点的动态过程在等效前后一致,也解决了辨识模型多解问题。同时,针对水电机组运行工况转换频繁对辨识实时性要求较高的特点,提出了一种改进的粒子群优化(PSO)算法,提高了辨识效率。最后通过系统仿真算例验证,证明该方法能有效解决多解的问题,并提高了辨识效率。

For solving the problem of multi-solution of traditional dynamic equivalents based on online identification, an improved identification method is proposed herein. The dynamic data of the tie line and internal points is proposed as the objective function in above method, which not only ensures the consistency of dynamic process of internal and external points before and after equivalence, but also solves the problem of multi-solution. As the frequent operation condition conversion of hydropower system, there is an urgent need to improve the identification performance. So an improve PSO method is also proposed. The simulation result indicates that the proposed method can overcome the problem of multi-solution and has higher efficiency in identification.