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H. Lan, G. G. Zheng, X. L. Sun, et al., “Research of Power Transformer Fault Diagnosis Based on Vague Clustering Analysis,” Electrical Measurement & Instrumentation, Vol. 48, No. 1, 2011, pp. 46-49.

has been cited by the following article:

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

  AUTHORS: Yujia Li, Yu Zou, Yupei Jia, Yunxia Zheng

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

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, November 7, 2013

  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.