Speed Control System Model Parameter Error Evaluation Based on PMU Data

Abstract

Power system dynamic simulation is an effective way to fully grasp the power system dynamic response, and it is also the basis guiding power system planning, design and operation. The operation of the generator characteristics determines the dynamic characteristics of the power system to some extent, so enhancing the accuracy of generating set model parameters has great significance on improving the reliability of power system dynamic simulation. Due to the operation of the power system characteristics and special requirements on the safe and stable operation, we cannot understand its correctness of dynamic response by means of exerting disturbance test, which limits the simulation error evaluation work of the generating set. PMU data from effective disturbance scenarios is used in this paper to study the realization of the generator speed control system of hybrid simulation technology based on data measured by PMU. The corresponding hybrid simulation program is developed by using C++. The evaluation of speed regulation system error of the model parameters is realized on the basis of the simulation error index. The validity of speed control system model parameter error evaluation methods is proved by PMU data measured from disturbance scenarios of four Units in an area.