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Integer-Linear-Programming Eigenvector Based Approach for Multipartitioning Power System State Estimation Networks

Habiballah, I.O. and Quintana, V.H. (1994) Integer-Linear-Programming Eigenvector Based Approach for Multipartitioning Power System State Estimation Networks. IEE Proceedings C, 141 (1). pp. 11-18.

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Abstract

Heuristic algorithms are developed to partition an observable power system state estimation (PSSE) network into two or more observable subnetworks. The proposed heuristic algorithms partition a spanning tree of an observable PSSE network and guarantee the observability of all the partitioned subnetworks. These partitioning algorithms are based on using an integer-linear-programming eigenvector-based approach to have a good initial partition, and then on using an interchange method to obtain the optimal partition. The performance of these heuristic algorithms are evaluated by using several IEEE standard networks



Item Type:Article
Date:January 1994
Date Type:Publication
Subjects:Electrical
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Habiballah, I.O. and Quintana, V.H.
Email:ibrahimh@kfupm.edu.sa, UNSPECIFIED
ID Code:345
Deposited By:Dr SHARIF IQBAL SHEIKH
Deposited On:15 Mar 2008 16:59
Last Modified:12 Apr 2011 13:07

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