Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn)
This paper presents the application of neural networks for analysing voltage stability of load buses in electric power system. Voltage stability margin (VSM) and load power margin (LPM) are used as the indicators for analyzing voltage stability. The neural networks used in this research are divided...
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| Format: | Article |
| Language: | en |
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Asian Research Publishing Network (ARPN)
2017
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| Online Access: | http://eprints.utem.edu.my/id/eprint/18656/2/marizan_57.pdf http://eprints.utem.edu.my/id/eprint/18656/ http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0317_5775.pdf |
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| author | Mohamad Nor, Ahmad Fateh Sulaiman , Marizan Abdul Kadir, Aida Fazliana Omar, Rosli |
| author_facet | Mohamad Nor, Ahmad Fateh Sulaiman , Marizan Abdul Kadir, Aida Fazliana Omar, Rosli |
| author_sort | Mohamad Nor, Ahmad Fateh |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents the application of neural networks for analysing voltage stability of load buses in electric power system. Voltage stability margin (VSM) and load power margin (LPM) are used as the indicators for analyzing voltage stability. The neural networks used in this research are divided into two types. The first type is using the neural network to predict the values of VSM and LPM. Multilayer perceptron back propagation (MLPBP) neural network and adaptive neuro-fuzzy inference system (ANFIS) will be used. The second type is to classify the values of VSM and LPM using the probabilistic neural network (PNN). The IEEE 30-bus system has been chosen as the reference electrical power system. All of the neural network-based models used in this research is developed using MATLAB. |
| format | Article |
| id | my.utem.eprints-18656 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2017 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | eprints |
| spelling | my.utem.eprints-186562021-07-21T23:36:01Z http://eprints.utem.edu.my/id/eprint/18656/ Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn) Mohamad Nor, Ahmad Fateh Sulaiman , Marizan Abdul Kadir, Aida Fazliana Omar, Rosli Q Science (General) QA Mathematics This paper presents the application of neural networks for analysing voltage stability of load buses in electric power system. Voltage stability margin (VSM) and load power margin (LPM) are used as the indicators for analyzing voltage stability. The neural networks used in this research are divided into two types. The first type is using the neural network to predict the values of VSM and LPM. Multilayer perceptron back propagation (MLPBP) neural network and adaptive neuro-fuzzy inference system (ANFIS) will be used. The second type is to classify the values of VSM and LPM using the probabilistic neural network (PNN). The IEEE 30-bus system has been chosen as the reference electrical power system. All of the neural network-based models used in this research is developed using MATLAB. Asian Research Publishing Network (ARPN) 2017-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/18656/2/marizan_57.pdf Mohamad Nor, Ahmad Fateh and Sulaiman , Marizan and Abdul Kadir, Aida Fazliana and Omar, Rosli (2017) Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn). ARPN Journal Of Engineering And Applied Sciences, 12 (5). pp. 1406-1412. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0317_5775.pdf |
| spellingShingle | Q Science (General) QA Mathematics Mohamad Nor, Ahmad Fateh Sulaiman , Marizan Abdul Kadir, Aida Fazliana Omar, Rosli Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn) |
| title | Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn) |
| title_full | Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn) |
| title_fullStr | Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn) |
| title_full_unstemmed | Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn) |
| title_short | Voltage Stability Analysis Of Load Buses In Electric Power System Using Adaptive Neuro-Fuzzy Inference System (Anfis) And Probabilistic Neural Network (Pnn) |
| title_sort | voltage stability analysis of load buses in electric power system using adaptive neuro-fuzzy inference system (anfis) and probabilistic neural network (pnn) |
| topic | Q Science (General) QA Mathematics |
| url | http://eprints.utem.edu.my/id/eprint/18656/2/marizan_57.pdf http://eprints.utem.edu.my/id/eprint/18656/ http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0317_5775.pdf |
| url_provider | http://eprints.utem.edu.my/ |