A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability Pointer
The incessant power outages that characterize the Nigerian power network (NGP), as in all developing countries, are not limited to the shortage of fuel for power generation. However, differential power shortages between the generated power and the load demand are alarming. In this study, we propose...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/19/7247 |
| _version_ | 1797479461429444608 |
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| author | Tayo Uthman Badrudeen Funso Kehinde Ariyo Saheed Lekan Gbadamosi Nnamdi I. Nwulu |
| author_facet | Tayo Uthman Badrudeen Funso Kehinde Ariyo Saheed Lekan Gbadamosi Nnamdi I. Nwulu |
| author_sort | Tayo Uthman Badrudeen |
| collection | DOAJ |
| description | The incessant power outages that characterize the Nigerian power network (NGP), as in all developing countries, are not limited to the shortage of fuel for power generation. However, differential power shortages between the generated power and the load demand are alarming. In this study, we propose a new voltage stability pointer (NVSP) based on a reduced one-line power network to act as a classifier. The NVSP was trained with a support vector machine (SVM) using a medium Gaussian kernel classification toolbox (mGkCT) in the MATLAB environment. This classification is based on the power network susceptibility to voltage instability. NGP 28-bus 330 kV data were extracted and modeled in the MATLAB environment and tested with the NVSP-mGkCT classifier. The NVSP-mGkCT was able to classify the lines viz. stable and unstable lines for the base and contingency cases. Similarly, the linear load dynamics and non-linear load dynamics were evaluated on the basis of critical buses using the NVSP. The aim of this work was to help the Transmission Company of Nigeria (TCN) and the National Control Centre (NCC) to be pre-emptive with respect to possible voltage collapse due to voltage instability. The simulation results show that NVSP was able to flag vulnerable lines in the NGP. |
| first_indexed | 2024-03-09T21:46:13Z |
| format | Article |
| id | doaj.art-9f7df633f12b4c7693ae986ac88e085f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:46:13Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9f7df633f12b4c7693ae986ac88e085f2023-11-23T20:15:43ZengMDPI AGEnergies1996-10732022-10-011519724710.3390/en15197247A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability PointerTayo Uthman Badrudeen0Funso Kehinde Ariyo1Saheed Lekan Gbadamosi2Nnamdi I. Nwulu3Department of Electrical and Electronics Engineering, Oduduwa University, Ile-Ife 5533, NigeriaDepartment of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife 220282, NigeriaCenter for Cyber Physical Food, Energy and Water Systems, University of Johannesburg, Johannesburg 2006, South AfricaCenter for Cyber Physical Food, Energy and Water Systems, University of Johannesburg, Johannesburg 2006, South AfricaThe incessant power outages that characterize the Nigerian power network (NGP), as in all developing countries, are not limited to the shortage of fuel for power generation. However, differential power shortages between the generated power and the load demand are alarming. In this study, we propose a new voltage stability pointer (NVSP) based on a reduced one-line power network to act as a classifier. The NVSP was trained with a support vector machine (SVM) using a medium Gaussian kernel classification toolbox (mGkCT) in the MATLAB environment. This classification is based on the power network susceptibility to voltage instability. NGP 28-bus 330 kV data were extracted and modeled in the MATLAB environment and tested with the NVSP-mGkCT classifier. The NVSP-mGkCT was able to classify the lines viz. stable and unstable lines for the base and contingency cases. Similarly, the linear load dynamics and non-linear load dynamics were evaluated on the basis of critical buses using the NVSP. The aim of this work was to help the Transmission Company of Nigeria (TCN) and the National Control Centre (NCC) to be pre-emptive with respect to possible voltage collapse due to voltage instability. The simulation results show that NVSP was able to flag vulnerable lines in the NGP.https://www.mdpi.com/1996-1073/15/19/7247voltage stabilitynew voltage stability pointer (NVSP)contingencysupport vector machineNigerian power network (NGP)critical lines |
| spellingShingle | Tayo Uthman Badrudeen Funso Kehinde Ariyo Saheed Lekan Gbadamosi Nnamdi I. Nwulu A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability Pointer Energies voltage stability new voltage stability pointer (NVSP) contingency support vector machine Nigerian power network (NGP) critical lines |
| title | A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability Pointer |
| title_full | A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability Pointer |
| title_fullStr | A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability Pointer |
| title_full_unstemmed | A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability Pointer |
| title_short | A Novel Classification of the 330 kV Nigerian Power Network Using a New Voltage Stability Pointer |
| title_sort | novel classification of the 330 kv nigerian power network using a new voltage stability pointer |
| topic | voltage stability new voltage stability pointer (NVSP) contingency support vector machine Nigerian power network (NGP) critical lines |
| url | https://www.mdpi.com/1996-1073/15/19/7247 |
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