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.