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A New Algorithm for Black-start Zone Partitioning Based on Fuzzy Clustering Analysis
China Electric Power Research Institute, Beijing, China
China Electric Power Research Institute, Beijing, China
China Electric Power Research Institute, Beijing, China
Jibei Qinhuangdao Electric Power Company, Hebei, China
- 1 China Electric Power Research Institute, Beijing, China
- 2 China Electric Power Research Institute, Beijing, China
- 3 China Electric Power Research Institute, Beijing, China
- 4 Jibei Qinhuangdao Electric Power Company, Hebei, China
Energy and Power Engineering·Volume 05 (2013)·Pages 763–768·Published 30 June 2013·DOI10.4236/epe.2013.54B147
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Abstract
On the process of power system black start after an accident, it can help to optimize the resources allocation and accel erate the recovery process that decomposing the power system into several independent partitions for parallel recovery. On the basis of adequate consideration of fuzziness of black-start zone partitioning, a new algorithm based on fuzzy clustering analysis is presented. Characteristic indexes are extracted fully and accurately. The raw data matrix is made up of the electrical distance between every nodes and blackstart resources. Closure transfer method is utilized to get the dynamic clustering. The availability and feasibility of the proposed algorithm are verified on the New-England 39 bus system at last.
KeywordsBlack-start Zone PartitioningFuzzy Clustering AnalysisElectrical DistanceClosure Transfer Method
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