A new optimal adaptive under frequency load shedding Using Artificial Neural Networks

Different short circuits, load growth, generation shortage, and other faults which disturb the voltage and frequency stability are serious threats to the system security. The frequency and voltage instability causes dispersal of a power system into sub-systems, and leads to blackout as well as heavy...

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Bibliographic Details
Published in2010 18th Iranian Conference on Electrical Engineering pp. 824 - 829
Main Authors Moazzami, M, khodabakhshian, A
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2010
Subjects
Artificial neural networks
Blackout
Circuit faults
Circuit stability
Frequency
Load-Shedding
Power system faults
Power system security
Power system simulation
Power system stability
System testing
Voltage
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Summary:Different short circuits, load growth, generation shortage, and other faults which disturb the voltage and frequency stability are serious threats to the system security. The frequency and voltage instability causes dispersal of a power system into sub-systems, and leads to blackout as well as heavy damages of the system equipment. This paper presents a fast and optimal adaptive load shedding method, for isolated power system using Artificial Neural Networks (ANN). The proposed method is able to determine the necessary load shedding in all steps simultaneously and is much faster than conventional methods. This method has been tested on the New-England power system. The simulation results show that the proposed algorithm is fast, robust and optimal values of load shedding in different loading scenarios are obtained in comparison with conventional method.
ISBN:9781424467600
1424467608
ISSN:2164-7054
DOI:10.1109/IRANIANCEE.2010.5506963