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Multivariate statistical analysis‐based power‐grid‐partitioning method.

Authors :
Ge, Huaichang
Guo, Qinglai
Sun, Hongbin
Wang, Bin
Zhang, Boming
Source :
IET Generation, Transmission & Distribution (Wiley-Blackwell). Mar2016, Vol. 10 Issue 4, p1023-1031. 9p.
Publication Year :
2016

Abstract

A multivariate statistical analysis (MSA)‐based power‐grid‐partitioning method is proposed. Considering the effectiveness of automatic voltage regulation of generators, network modelling is based on the quasi‐steady‐state sensitivity of voltage with respect to reactive power. The MSA‐based power‐grid‐partitioning method contains two stages: a quantitative method for determining the appropriate number of zones and allocation of nodes into a number of zones. The proposed method is applied to an automatic voltage control system and an N − 1 robust pilot node selection method is presented. Simulation studies on IEEE 14‐bus, 39‐bus systems and a real provincial power system in China are described to illustrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518687
Volume :
10
Issue :
4
Database :
Academic Search Index
Journal :
IET Generation, Transmission & Distribution (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
148082517
Full Text :
https://doi.org/10.1049/iet-gtd.2015.0796