Energies 2014, 7(4), 2631-2657; doi:10.3390/en7042631
Article

A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems

1,* email, 1email and 2email
Received: 13 December 2013; in revised form: 25 March 2014 / Accepted: 2 April 2014 / Published: 23 April 2014
(This article belongs to the Special Issue Smart Grids: The Electrical Power Network and Communication System)
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Abstract: Controlled islanding is the last countermeasure for a bulk power system when it suffers from severe cascading contingencies. The objective of controlled islanding is to maintain the stability of each island and to keep the total loss of loads of the whole system to a minimum. This paper presents a novel integrated wide-area measurement systems (WAMS)-based adaptive controlled islanding strategy, which depends on the dynamic post-fault trajectories under different failure modes. We first utilize an improved Laplacian eigenmap algorithm (ILEA) to identify the coherent generators and use the slow coherency grouping algorithm to guarantee coherent stability within an island. Using the identification result, we then define the minimum coherent generator virtual nodes to reduce the searching space in a graph and utilize the k-way partitioning (KWP) algorithm to obtain a preliminary partition of the simplified graph. Based on the preliminary partition, we consider the direction of power flow and propose a variable neighborhood heuristic searching algorithm to search the optimal separation surfaces so that the net imbalanced power of islands is minimized. Finally, the bidirectional power flow tracing algorithm and PQ decomposition power flow analysis are utilized to determine the corrective controls within each island. The test results with the New England 39-bus system and the IEEE 118-bus system show that the proposed integrated controlled islanding strategy can automatically adapt to different fault modes through generator coherency identification and effectively group the different coherent generators into different islands.
Keywords: controlled islanding; coherency identification; wide-area measurement systems (WAMS); spectral partitioning; variable neighborhood heuristic searching
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Song, H.; Wu, J.; Wu, K. A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems. Energies 2014, 7, 2631-2657.

AMA Style

Song H, Wu J, Wu K. A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems. Energies. 2014; 7(4):2631-2657.

Chicago/Turabian Style

Song, Honglei; Wu, Junyong; Wu, Kui. 2014. "A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems." Energies 7, no. 4: 2631-2657.


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