Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network

Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network

The stability of frequency and voltage is one of the basic principles in the power systems. One of the latest control measures for power system frequency control and stability is load shedding. A fast and optimal adaptive load shedding method using Artificial Neural Networks (ANN) is presented in th...

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Bibliographic Details
Main Authors: Rahmatolah Hooshmand, Majid Moazzami
Format: Article
Language:English
Published: Najafabad Branch, Islamic Azad University 2010-07-01
Series:Journal of Intelligent Procedures in Electrical Technology
Subjects:
Power system stability
adaptive load shedding
artificial neural networks
Online Access:http://jipet.iaun.ac.ir/pdf_4471_1d8ff5137590fa6b197655f9fd1d0e3e.html
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spelling doaj-c2d8a54df0a9477586859119293d79432020-11-24T21:27:44ZengNajafabad Branch, Islamic Azad UniversityJournal of Intelligent Procedures in Electrical Technology2322-38712345-55942010-07-01122330Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural NetworkRahmatolah Hooshmand0Majid Moazzami1University of IsfahanNajafabad Branch, Islamic Azad UniversityThe stability of frequency and voltage is one of the basic principles in the power systems. One of the latest control measures for power system frequency control and stability is load shedding. A fast and optimal adaptive load shedding method using Artificial Neural Networks (ANN) is presented in this paper. In this paper, the total power generation and the total existing load in power system were selected as the ANN inputs. This method has been tested on theNew England test system. The simulation results show the ability of this frequency control algorithm for optimal solving problem related to conventional method.http://jipet.iaun.ac.ir/pdf_4471_1d8ff5137590fa6b197655f9fd1d0e3e.htmlPower system stabilityadaptive load sheddingartificial neural networks
collection DOAJ
language English
format Article
sources DOAJ
author Rahmatolah Hooshmand
Majid Moazzami
spellingShingle Rahmatolah Hooshmand
Majid Moazzami
Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network
Journal of Intelligent Procedures in Electrical Technology
Power system stability
adaptive load shedding
artificial neural networks
author_facet Rahmatolah Hooshmand
Majid Moazzami
author_sort Rahmatolah Hooshmand
title Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network
title_short Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network
title_full Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network
title_fullStr Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network
title_full_unstemmed Adaptive Load Shedding Analysis in Power Systems by Using Artificial Neural Network
title_sort adaptive load shedding analysis in power systems by using artificial neural network
publisher Najafabad Branch, Islamic Azad University
series Journal of Intelligent Procedures in Electrical Technology
issn 2322-3871
2345-5594
publishDate 2010-07-01
description The stability of frequency and voltage is one of the basic principles in the power systems. One of the latest control measures for power system frequency control and stability is load shedding. A fast and optimal adaptive load shedding method using Artificial Neural Networks (ANN) is presented in this paper. In this paper, the total power generation and the total existing load in power system were selected as the ANN inputs. This method has been tested on theNew England test system. The simulation results show the ability of this frequency control algorithm for optimal solving problem related to conventional method.
topic Power system stability
adaptive load shedding
artificial neural networks
url http://jipet.iaun.ac.ir/pdf_4471_1d8ff5137590fa6b197655f9fd1d0e3e.html
work_keys_str_mv AT rahmatolahhooshmand adaptiveloadsheddinganalysisinpowersystemsbyusingartificialneuralnetwork
AT majidmoazzami adaptiveloadsheddinganalysisinpowersystemsbyusingartificialneuralnetwork
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