综合负荷模型动静负荷比例的在线辨识  

Online Identification of Percentage of Dynamic Component in Composite Load Model

作　　者：王成山[1] 柴华[1] 谢小荣[2] 韩英铎[2] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072 [2]清华大学电机系,北京100084

出　　处：《电力系统及其自动化学报》2008年第3期14-19,共6页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金资助项目(5059413,50407001)

摘　　要：综合负荷模型是现代电力系统机电暂态仿真中常用的一种负荷模型,动静负荷比例的准确性将直接影响到仿真结果的正确性。在基于PMU量测的电力系统主导动态参数在线辨识方法的基础上,针对恒阻抗和感应电动机并联组成的综合负荷模型,采用Volterra级数模型和模式识别方法研究了动静负荷比例的在线快速辨识方法,并通过离线仿真给出感应电动机模型几个重要参数在典型值周围的合理变化范围。用该方法对两组不同典型参数下某省网系统进行仿真,验证了该方法的有效性;不同故障点和故障类型的仿真结果验证了该方法具有普遍适用性,同时给出了动静负荷比例辨识的正确率与动静负荷比例分档间隔的关系。The composite load model, an impedance and an induction motor connected in parallel, is widely used in the transient simulation. However, the percentage of dynamic component in the model directly affects the precision of simulation result. Based on the online identification of dominant dynamic parameters measured by PMU, Volterra model and pattern recognition are employed to achieve online fast classification of the dynamic component percentage. The rational range of several important parameters of induction motor are put forward by offline simulations. Case studies have been carried out in a provincal system. The results have verified the effectiveness of the method. The simulations with different fault spots and types have demonstrated the generality of the proposed method. The relationship between the precision of the identification and the partition distance has been investigated as well.

关 键 词：综合负荷模型 电力系统 动静负荷比例 在线辨识 暂态仿真 

分 类 号：TM714[电气工程—电力系统及自动化]