Fuzzy Equivalence Relation Clustering-Based Algorithm for Coherency Identification among Generators
Publication: Journal of Energy Engineering
Volume 145, Issue 1
Abstract
Coherency identification among generators plays an important role in controlled islanding and wide-area monitoring of a power system with renewable energy sources. So far, wide-area measurement systems (WAMS) have been deployed widely in power plants and key substations, so the trajectories measured by phasor measurement units (PMUs) and WAMS could be utilized to identify coherent generators (CGs). In this study, an algorithm for coherency identification among generators based on the fuzzy equivalence relation (FER) clustering method and synthesized weight is proposed. First, 10 indices for measuring the similarity of trajectories are presented. Then, the technique for order preference by similarity to ideal solution (TOPSIS) and a method based on entropy and multicorrelation coefficients is presented to determine the weight of each index for decision making of trajectory similarities. Next, the FER clustering method is proposed to cluster the trajectories and the -statistics, which could measure the rationality of clustering results, is presented to determine the optimal cluster number of coherent groups among generators. Finally, the actual Guangdong power system in China, a revised 16-unit 68-bus power system, and the simplified China South Power Grid (CSPG) are used to demonstrate the effectiveness of the proposed methodology. Comparisons with some existing methods are performed and the impacts of integrated renewable energy generation sources on power system oscillations are also investigated.
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Acknowledgments
This work is jointly supported by the National Key R&D Program of China (No. 2016YFB0900100), the National Natural Science Foundation of China (No. 51377005), and the Zhejiang Provincial Natural Science Foundation of China (No. LY17E070003).
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Information
Published In
Journal of Energy Engineering
Volume 145 • Issue 1 • February 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Mar 12, 2018
Accepted: Aug 2, 2018
Published online: Oct 30, 2018
Published in print: Feb 1, 2019
Discussion open until: Mar 30, 2019
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