원문정보
초록
영어
Using ambient excited data under PMU measurements to identify the low frequency oscillation mode and oscillation modes parameter information corresponding, has good prospects in power system analysis and control. This article discusses the applicability by using the natural excitation technique (NExT) in conjunction with the eigensystem realization algorithm for low frequency oscillation modes identification, then introduced fuzzy C-means clustering algorithm to picked up the authenticity of the identified modal results automatically and improving the recognition accuracy. On the IEEE-11 and IEEE-68 bus test system numerical example shows that the proposed method has higher modal recognition ability and efficiency, and can meet the needs of online applications.
목차
1. Introduction
2. FCM-based NExT-ERA Modal Identification
2.1. Natural Excitation Technique (NExT)
2.2. Eigen Realization Algorithm (ERA)
2.3. Selection of the Reference Channel
2.4. Identification Accuracy Indexes of the Modal Parameters
2.5. Selection of Physical Modals based on the FCM Algorithm
3. Auto Pickup of Modal Parameters
4. Example Analysis
4.1 System with Four Generators and Four Areas
4.2 System with 16 Generators and 68 Nodes
5. Conclusions
References