A New Algorithm for Black-start Zone Partitioning Based on Fuzzy Clustering Analysis

Yujia Li, Yu Zou, Yupei Jia, Yunxia Zheng

China Electric Power Research Institute, Beijing, China.
Jibei Qinhuangdao Electric Power Company, Hebei, China.

DOI: 10.4236/epe.2013.54B147                

Abstract

On the process of power system black start after an accident, it can help to optimize the resources allocation and accelerate 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.

Keywords

Black-start Zone Partitioning; Fuzzy Clustering Analysis; Electrical Distance; Closure Transfer Method

Conflicts of Interest

The authors declare no conflicts of interest.

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