电力系统动态等值中励磁系统参数聚合方法对比研究

Comparative studies on methods for parameter aggregation of excitation system for power system dynamic equivalent

为了减少计算量,提高分析速度,对励磁系统进行动态等值时,可采用统一的降阶标准传递函数作为等值励磁系统模型.分别使用加权平均法、离散时间最小二乘法和分段线性多项式函数(PLPF)法确定了等值励磁系统模型的参数,并将遗传算法引入等值励磁系统模型的参数辨识.重点对比了几种励磁系统聚合方法,归纳出各种方法的差异及优缺点.仿真算例表明,离散时间最小二乘法性能较好.

In order to reduce the calculating time and to improve the analytical speed in an electric power system, the dynamic equivalence technique can be used in the excitation system with the uniform standard transfer function in a low order. The parameters of the equivalent excitation system were determined using the weighted average method, the method of least squares （IS） in discrete time domain, and the piecewise linear polynomial function （PLPF） method. The genetic algorithm was used for parameter identification. Different methods for aggregation of the excitation system were compared, and their differences and advantages, as welt as their disadvantages were summarized. A case study indicates that, in general, ＂the method of least squares in discrete time domain has good performance.