A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems
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 n...
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-04-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/7/4/2631 |
| _version_ | 1811308089127731200 |
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| author | Honglei Song Junyong Wu Kui Wu |
| author_facet | Honglei Song Junyong Wu Kui Wu |
| author_sort | Honglei Song |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T09:15:51Z |
| format | Article |
| id | doaj.art-b7236233ab0a4914b79747efb08b3c60 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T09:15:51Z |
| publishDate | 2014-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b7236233ab0a4914b79747efb08b3c602022-12-22T02:52:44ZengMDPI AGEnergies1996-10732014-04-01742631265710.3390/en7042631en7042631A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power SystemsHonglei Song0Junyong Wu1Kui Wu2School of Electrical Engineering, Beijing Jiao Tong University, Beijing 100044, ChinaSchool of Electrical Engineering, Beijing Jiao Tong University, Beijing 100044, ChinaDepartment of Computer Science, University of Victoria, Victoria, BC V8P 5C2, CanadaControlled 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.http://www.mdpi.com/1996-1073/7/4/2631controlled islandingcoherency identificationwide-area measurement systems (WAMS)spectral partitioningvariable neighborhood heuristic searching |
| spellingShingle | Honglei Song Junyong Wu Kui Wu A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems Energies controlled islanding coherency identification wide-area measurement systems (WAMS) spectral partitioning variable neighborhood heuristic searching |
| title | A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems |
| title_full | A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems |
| title_fullStr | A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems |
| title_full_unstemmed | A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems |
| title_short | A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems |
| title_sort | wide area measurement systems based adaptive strategy for controlled islanding in bulk power systems |
| topic | controlled islanding coherency identification wide-area measurement systems (WAMS) spectral partitioning variable neighborhood heuristic searching |
| url | http://www.mdpi.com/1996-1073/7/4/2631 |
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