对电力系统稳定控制方法的比较研究

A COMPARATIVE STUDY ON TBE CONTROL METHODS OFPOWER SYSTEM STABILIZATION

为了在有干扰或低频振荡时维持互联电力系统的稳定，本文介绍了一些电力系统稳定的新技术。一种是在经典的电力系统稳定器（ＰＳＳ）中，利用特征矢量灵敏度，使振荡输出响应包络线下的面积为最小的方法来找出最佳参数；另一种是采用一种自适应控制方法即可移动相位的自调谐调节器（ＰＳＳＴＲ），最后一种方法则是利用人工神经网络，此处神经网络的非线性映射能力是用修改过的ＢＴＴ法来训练神经控制器的方式来开拓的。控制方法用于一个典型的非线性多机电力系统，对各种方法的仿真结果进行了比较，并指出了研究工作中的缺陷。

Some new Power System Stabilizationtechniques are presented in this paper to maintain thestability of an interconnected power system from a dis-turbance or the low-frequency oscillation. One is amethod to find optimal parameters in the classical PSSusing eigemector sensitivty to minimize the area underihe envelop of the oscillatory ouiput respome Anotheris one of adaprive control schemes, Pole-Shifting Self-Tuning Regulator (PSSTR). The last is to use artificialneural networks, where the nonlinear mapping abilily ofneural networks is exploited in the training of theneuro-controller by the modified BTT method The con-trol methods are applied to a typical nonlinear powersystem with multimachines , and the simulation results ofcach method, are compared The discussions and fuiureworks are also given.