一种改进的双模式同调机组判别法

An Improved Discriminant Method of Double Mode Coherence Generator Groups

由于有功功率与电压的弱耦合,多数的同调机组判别法并不考虑电压变化对发电机同调性的影响。实际上,发电机的同调性会受到与电压相关因素的影响,如励磁控制器的速度、发电机出线电压与负荷节点电压的变化等。如果所用模型忽略了原始系统的电压特性,那么等值系统的精确性就会下降。在传统时域仿真判别法的基础上,该文提出了一种改进的双模式同调机组判别法,这种方法采用发电机双轴模型,考虑了转子和电压动态的影响,结合利用模式分析法和K平均聚类法进行机组分群。并以177机779节点系统为案例,与其它同类方法的计算结果进行量化比较,论证了新方法的优越性。

Because of the weak coupling between active power and voltage,most discriminant methods for coherence units do not consider the influence of voltage variation on the coherence of generators.In fact,the coherence of generators will be affected by voltage-related factors,such as the speed of excitation controller, the variation of generator output voltage and load node voltage,etc.lf the voltage characteristics of the original system are neglected in the model,the accuracy of the equivalent system will decrease.This paper presents an improved discriminant method of double mode coherence generator groups which considers the influence of rotor and voltage dynamics,using the method of pattern analysis and K average clustering method to classify the generating units.Taking 779-bus system of 177 generators as an example,the advantages of the new method are demonstrated by comparing the calculated results with those of other similar methods.