Application of a neural network and heuristic model for voltage-reactive power control

This paper presents a new approach based on a neural network and heuristic model for voltage-reactive power control. The idea is to combine the learning and parallel-processing characteristics of a neural network as well as the fuzzy reasoning of a heuristic model to simplify the problem and improve...

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Bibliographic Details
Published in:Electric power systems research 1995, Vol.34 (3), p.143-148
Main Authors: Su, Ching-Tzong, Lin, Chien-Tung
Format: Article
Language:English
Subjects:
Applied sciences
Control strategies
Disturbances. Regulation. Protection
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Fuzzy logic applications
Heuristic model
Neural networks
Power networks and lines
Voltage-reactive power control
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Summary:This paper presents a new approach based on a neural network and heuristic model for voltage-reactive power control. The idea is to combine the learning and parallel-processing characteristics of a neural network as well as the fuzzy reasoning of a heuristic model to simplify the problem and improve the efficiency of calculation. The control variables are determined using a neural network type knowledge base and the quantities of the control actions are calculated with the heuristic model. The modified IEEE 30-bus test system is used to demonstrate the application of the proposed approach.
ISSN:0378-7796
1873-2046
DOI:10.1016/0378-7796(95)00969-2