基于层次分析模型的同调机群自动识别方法

针对现阶段动态等值同调识别过程中存在的主观性和片面性等问题,综合考虑多种因素对机组同调性的影响,借鉴层次分析法思想,建立实用的层次分析模型,将摇摆曲线、电气距离和机组参数等较突出的影响因素有机结合,从而使同调识别过程由以往单一决策转变为多属性综合决策。通过对已知同调性的标准系统同调矩阵与其各影响因素相似度矩阵的对比分析计算,综合确定层次分析判断矩阵,相对客观地确定各因素权重。应用分布聚类法计算获得最终相似度矩阵,完成电机聚类。以IEEE 118节点54机系统和蒙西电网为算例,验证了所提方法的有效性和实用性。

An Automatic Identification Method for Coherent Generator Groups Based on Analytic Hierarchy Process Model

In view of the existing subjective and one-sidedness problems in the process of coherence identification for dynamic equivalence, the influences of various factors on the coherence of generators are taken into account. By drawing on the experience of analytic hierarchy process (AHP) for reference, a practical AHP model is developed. Key factors, such as swing curves, electrical distances and generator parameters, are combined to change the process of coherence identification from single dicision-making to multi-attribute decision-making. Through the comparison between the coherence matrixes of the standard systems with known coherence and the similarity matrixes of various factors, the AHP judgment matrix is determined, while the weight of each factor is determined objectively. The distributed clustering method is used to obtain the final similarity matrix, then the coherent generator clustering is completed. Simulation results of the IEEE 118-bus 54-unit system and Western Inner Mongolia power grid show that the method proposed is effective and practical. This work is supported by National Natural Science Foundation of China (No. 51277070).