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Energies 2012, 5(11), 4417-4429; doi:10.3390/en5114417

Coherency Identification of Generators Using a PAM Algorithm for Dynamic Reduction of Power Systems

* ,
School of Electrical Engineering and Computer Science, Seoul National University, Seoul 151-742, Korea
* Author to whom correspondence should be addressed.
Received: 15 September 2012 / Revised: 31 October 2012 / Accepted: 31 October 2012 / Published: 8 November 2012
(This article belongs to the Special Issue Electrical Power and Energy Systems)
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This paper presents a new coherency identification method for dynamic reduction of a power system. To achieve dynamic reduction, coherency-based equivalence techniques divide generators into groups according to coherency, and then aggregate them. In order to minimize the changes in the dynamic response of the reduced equivalent system, coherency identification of the generators should be clearly defined. The objective of the proposed coherency identification method is to determine the optimal coherent groups of generators with respect to the dynamic response, using the Partitioning Around Medoids (PAM) algorithm. For this purpose, the coherency between generators is first evaluated from the dynamic simulation time response, and in the proposed method this result is then used to define a dissimilarity index. Based on the PAM algorithm, the coherent generator groups are then determined so that the sum of the index in each group is minimized. This approach ensures that the dynamic characteristics of the original system are preserved, by providing the optimized coherency identification. To validate the effectiveness of the technique, simulated cases with an IEEE 39-bus test system are evaluated using PSS/E. The proposed method is compared with an existing coherency identification method, which uses the K-means algorithm, and is found to provide a better estimate of the original system.
Keywords: dynamic reduction; equivalent circuits; power system modeling dynamic reduction; equivalent circuits; power system modeling
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Pyo, G.-C.; Park, J.-W.; Moon, S.-I. Coherency Identification of Generators Using a PAM Algorithm for Dynamic Reduction of Power Systems. Energies 2012, 5, 4417-4429.

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