Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN)
Voltage stability margin (VSM) and load power margin (LPM) arethe indicators that show how close a load bus is to experiencing voltage instability. The smaller the values of VSM or LPM of a particular load bus, the closer the load bus towards voltage instability. This paper presents the application...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2017
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2461/ http://eprints.uthm.edu.my/2461/1/AJ%202019%20%2825%29.pdf |
| _version_ | 1848887744406749184 |
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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 | UTHM Institutional Repository |
| collection | Online Access |
| description | Voltage stability margin (VSM) and load power margin (LPM) arethe indicators that show how close a load bus is to experiencing voltage instability. The smaller the values of VSM or LPM of a particular load bus, the closer the load bus towards voltage instability. This paper presents the application of probabilistic neural network (PNN) for classifying VSM and LPM values. A number of training data is generated for the PNN model to classify. The PNN model used in this paper should be able to classify which values are within VSM/LPM values and which values are not. The IEEE 14-bus system has been chosen as the reference electrical power system. MATLAB is used to deploy the PNN model for VSM and LPM classifications. |
| first_indexed | 2025-11-15T19:59:15Z |
| format | Article |
| id | uthm-2461 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:59:15Z |
| publishDate | 2017 |
| publisher | Asian Research Publishing Network (ARPN) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-24612021-10-20T03:22:03Z http://eprints.uthm.edu.my/2461/ Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN) Mohamad Nor, Ahmad Fateh Sulaiman, Marizan Abdul Kadir, Aida Fazliana Omar, Rosli TK3001-3521 Distribution or transmission of electric power Voltage stability margin (VSM) and load power margin (LPM) arethe indicators that show how close a load bus is to experiencing voltage instability. The smaller the values of VSM or LPM of a particular load bus, the closer the load bus towards voltage instability. This paper presents the application of probabilistic neural network (PNN) for classifying VSM and LPM values. A number of training data is generated for the PNN model to classify. The PNN model used in this paper should be able to classify which values are within VSM/LPM values and which values are not. The IEEE 14-bus system has been chosen as the reference electrical power system. MATLAB is used to deploy the PNN model for VSM and LPM classifications. Asian Research Publishing Network (ARPN) 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/2461/1/AJ%202019%20%2825%29.pdf Mohamad Nor, Ahmad Fateh and Sulaiman, Marizan and Abdul Kadir, Aida Fazliana and Omar, Rosli (2017) Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN). ARPN Journal of Engineering and Applied Sciences, 12 (19). pp. 5591-5596. ISSN 1819-6608 http://www.arpnjournals.com/jeas/volume_19_2017.htm |
| spellingShingle | TK3001-3521 Distribution or transmission of electric power Mohamad Nor, Ahmad Fateh Sulaiman, Marizan Abdul Kadir, Aida Fazliana Omar, Rosli Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN) |
| title | Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN) |
| title_full | Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN) |
| title_fullStr | Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN) |
| title_full_unstemmed | Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN) |
| title_short | Classifications of voltage stability margin (VSM) and load power margin (LPM) using probabilistic neural network (PNN) |
| title_sort | classifications of voltage stability margin (vsm) and load power margin (lpm) using probabilistic neural network (pnn) |
| topic | TK3001-3521 Distribution or transmission of electric power |
| url | http://eprints.uthm.edu.my/2461/ http://eprints.uthm.edu.my/2461/ http://eprints.uthm.edu.my/2461/1/AJ%202019%20%2825%29.pdf |