On the evolutionary inference of temporal Boolean networks

Authors:
Carlos Cotta
Affiliations:
Dept. Lenguajes y Ciencias de la Computación, ETSI Informática, University of Málaga, Málaga, Spain
Venue:
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Year:
2003

Citing 1
Cited 1

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Abstract

A genetic algorithm-based procedure for solving the optimal phasor measurement units (PMUs) placement problem is presented. A PMU measures voltage and current phasors at the bus where is placed. These measurements must realize the electrical power system observable, in order to perform the state estimation. Our proposal have two essential advantages: (1) it determines the minimal number of PMUs and their geographic distribution making the network observable; (2) it shows the relationship between the number of current phasors that must be measured on each PMUs and the necessary number of PMLrs for a given network. The placement algorithm has been tested on 4 standards IEEE-bus, ranging in size from 14 to 118 buses.