水轮机调速系统自定义建模与应用

针对电力系统稳定性分析工具BPA4.0程序提供的水轮机调节系统模型仿真精度不高的缺点,提出了自定义的水轮机调节系统模型,由比例—积分—微分(PID)型调节器加二阶随动系统构成调速器模型,用非线性高阶传递函数表示原动机模型,并开发了改进的最小二乘算法、遗传算法和粒子群优化算法3种原动机模型辨识方法。仿真结果表明,自定义模型的仿真结果较BPA4.0中的模型更接近实际,仿真指标满足电力系统稳定分析的需求。

Custom Modeling and Application of Hydro-turbine Regulating System

In order to further improve the stability analysis of a power system,a model for the turbine governing system is developed with the realistic governor model and the prime mover model is expressed as a higher order nonlinear transfer function.Three kinds of prime mover model identifying methods are built,namely,the improved least squares(LS) algorithm,genetic algorithm(GA) and particle swarm optimization(PSO) algorithm.Compared with the measured dynamic process,the simulation results of the custom model is more realistic than the model provided by BPA4.0 and capable of meeting the demand for power system stability analysis.