Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network
This paper presents the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Probabilistic Neural Network (PNN) for voltage instability analysis in electric power system. The voltage instability analysis is executed in this research by calculating the values of voltage instability indic...
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Penerbit Universiti Teknikal Malaysia Melaka
2018
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my.utem.eprints.245482020-12-08T11:40:13Z http://eprints.utem.edu.my/id/eprint/24548/ Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network Mohamad Nor, Ahmad Fateh Sulaiman, Marizan Abdul Kadir, Aida Fazliana Omar, Rosli This paper presents the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Probabilistic Neural Network (PNN) for voltage instability analysis in electric power system. The voltage instability analysis is executed in this research by calculating the values of voltage instability indices. The voltage instability indices used are voltage stability margin (VSM) and load power margin (LPM). Both VSM and LPM are obtained from the real power-voltage (PV) curve and reactive power-voltage (QV) curve. ANFIS is used for predicting the values of voltage instability indices. Meanwhile, PNN is used for classifying the voltage instability indices. The IEEE 14-bus test system has been chosen as the reference electrical power system. Both ANFIS and PNN used in this research are deployed by using MATLAB software. Penerbit Universiti Teknikal Malaysia Melaka 2018-12 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24548/2/MARIZAN_104.PDF Mohamad Nor, Ahmad Fateh and Sulaiman, Marizan and Abdul Kadir, Aida Fazliana and Omar, Rosli (2018) Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network. Journal of Engineering and Technology, 9 (2). pp. 1-13. ISSN 2180-3811 https://journal.utem.edu.my/index.php/jet/article/view/2243/VOLTAGE%20INSTABILITY%20ANALYSIS%20BASED%20ON%20ADAPTIVE%20NEURO-FUZZY%20INFERENCE%20SYSTEM |
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This paper presents the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Probabilistic Neural Network (PNN) for voltage instability analysis in electric power system. The voltage instability analysis is executed in this research by calculating the
values of voltage instability indices. The voltage instability indices used are voltage stability margin (VSM) and load power margin (LPM). Both VSM and LPM are obtained from the real power-voltage (PV) curve and reactive power-voltage (QV) curve. ANFIS is used for predicting the values of voltage instability indices. Meanwhile, PNN is used for classifying the voltage instability indices. The IEEE 14-bus test system has been chosen as the reference electrical power system. Both ANFIS and PNN used in this research are deployed by using MATLAB software. |
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Mohamad Nor, Ahmad Fateh Sulaiman, Marizan Abdul Kadir, Aida Fazliana Omar, Rosli |
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Mohamad Nor, Ahmad Fateh Sulaiman, Marizan Abdul Kadir, Aida Fazliana Omar, Rosli Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network |
author_facet |
Mohamad Nor, Ahmad Fateh Sulaiman, Marizan Abdul Kadir, Aida Fazliana Omar, Rosli |
author_sort |
Mohamad Nor, Ahmad Fateh |
title |
Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network |
title_short |
Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network |
title_full |
Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network |
title_fullStr |
Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network |
title_full_unstemmed |
Voltage Instability Analysis Based On Adaptive Neuro-Fuzzy Inference System And Probabilistic Neural Network |
title_sort |
voltage instability analysis based on adaptive neuro-fuzzy inference system and probabilistic neural network |
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Penerbit Universiti Teknikal Malaysia Melaka |
publishDate |
2018 |
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http://eprints.utem.edu.my/id/eprint/24548/2/MARIZAN_104.PDF http://eprints.utem.edu.my/id/eprint/24548/ https://journal.utem.edu.my/index.php/jet/article/view/2243/VOLTAGE%20INSTABILITY%20ANALYSIS%20BASED%20ON%20ADAPTIVE%20NEURO-FUZZY%20INFERENCE%20SYSTEM |
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