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A novel partitioning algorithm for power grid using community detection.

Authors :
Wang, Tao
Zou, Pan
Zhou, Heng
Source :
2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI); 1/ 1/2012, p511-513, 3p
Publication Year :
2012

Abstract

This paper proposes a novel partitioning algorithm based on angles between vectors using community detection theory. Considering the physical properties of the power system, the weighted modularity matrix of power grid is constructed and modified to a non-negative definite matrix which can be an orthogonal matrix by orthogonal decomposition. Thus transform the community detection problem as a vector partitioning problem which can be solved without decomposing the modularity matrix or even computing the vertex vector explicitly either. A novel partitioning algorithm based on merging vectors with least angle is designed. The algorithm is applied to partition IEEE 39-bus system, and the results demonstrate the validity of our algorithm. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781467345859
Database :
Complementary Index
Journal :
2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI)
Publication Type :
Conference
Accession number :
86505901
Full Text :
https://doi.org/10.1109/CARPI.2012.6356364