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

(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
Subjects: Electrical
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Dr SHARIF IQBAL SHEIKH
Date Deposited: 15 Mar 2008 13:59
Last Modified: 01 Nov 2019 13:23
URI: https://eprints.kfupm.edu.sa/id/eprint/345