Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization
The electricity distribution network in Ethiopia has the radial nature of network configuration. The interruption of power is due to overloading and failure of distribution lines due to external forces, like trees, animals, and wind. The failure of the radial distribution network brings blackout in...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2021/6632859 |
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| author | Habtemariam Aberie Kefale Elias Mandefro Getie Kassaye Gizaw Eshetie |
| author_facet | Habtemariam Aberie Kefale Elias Mandefro Getie Kassaye Gizaw Eshetie |
| author_sort | Habtemariam Aberie Kefale |
| collection | DOAJ |
| description | The electricity distribution network in Ethiopia has the radial nature of network configuration. The interruption of power is due to overloading and failure of distribution lines due to external forces, like trees, animals, and wind. The failure of the radial distribution network brings blackout in the whole power system network as there is no alternative electricity supply. The renewable energy potential of Bahir Dar, Ethiopia, especially solar power is abundant and needs a mechanism to give a response for electricity demand in the country and city other than expecting from the national grid. The solar photovoltaic system interconnection in radial feeders may bring a solution for power interruption and network performance. The sizing and siting of the solar photovoltaic system in the Ethiopian radial distribution system required an optimization tool to obtain better distribution network parameter. The power loss minimization and voltage profile enhancement of the radial distribution network are the key objectives of this research. Selective particle swarm optimization (SPSO) is used to fix the size and site of installation for network capacity enhancement. A multiobjective optimization problem is formulated so as to meet different constraints to be optimized by the SPSO. Finally, the SPSO enables determining proper size and site of solar power installation and bringing better performance in the radial distribution network of Ethiopia. |
| format | Article |
| id | doaj-art-d8d4e6056e2143a08cc92d8a9b74e403 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-d8d4e6056e2143a08cc92d8a9b74e4032025-02-03T01:32:24ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2021-01-01202110.1155/2021/66328596632859Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm OptimizationHabtemariam Aberie Kefale0Elias Mandefro Getie1Kassaye Gizaw Eshetie2Bahir Dar University, Bahir Dar Institute of Technology, Bahir Dar, EthiopiaBahir Dar University, Bahir Dar Institute of Technology, Bahir Dar, EthiopiaBahir Dar University, Bahir Dar Institute of Technology, Bahir Dar, EthiopiaThe electricity distribution network in Ethiopia has the radial nature of network configuration. The interruption of power is due to overloading and failure of distribution lines due to external forces, like trees, animals, and wind. The failure of the radial distribution network brings blackout in the whole power system network as there is no alternative electricity supply. The renewable energy potential of Bahir Dar, Ethiopia, especially solar power is abundant and needs a mechanism to give a response for electricity demand in the country and city other than expecting from the national grid. The solar photovoltaic system interconnection in radial feeders may bring a solution for power interruption and network performance. The sizing and siting of the solar photovoltaic system in the Ethiopian radial distribution system required an optimization tool to obtain better distribution network parameter. The power loss minimization and voltage profile enhancement of the radial distribution network are the key objectives of this research. Selective particle swarm optimization (SPSO) is used to fix the size and site of installation for network capacity enhancement. A multiobjective optimization problem is formulated so as to meet different constraints to be optimized by the SPSO. Finally, the SPSO enables determining proper size and site of solar power installation and bringing better performance in the radial distribution network of Ethiopia.http://dx.doi.org/10.1155/2021/6632859 |
| spellingShingle | Habtemariam Aberie Kefale Elias Mandefro Getie Kassaye Gizaw Eshetie Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization International Journal of Photoenergy |
| title | Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization |
| title_full | Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization |
| title_fullStr | Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization |
| title_full_unstemmed | Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization |
| title_short | Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization |
| title_sort | optimal design of grid connected solar photovoltaic system using selective particle swarm optimization |
| url | http://dx.doi.org/10.1155/2021/6632859 |
| work_keys_str_mv | AT habtemariamaberiekefale optimaldesignofgridconnectedsolarphotovoltaicsystemusingselectiveparticleswarmoptimization AT eliasmandefrogetie optimaldesignofgridconnectedsolarphotovoltaicsystemusingselectiveparticleswarmoptimization AT kassayegizaweshetie optimaldesignofgridconnectedsolarphotovoltaicsystemusingselectiveparticleswarmoptimization |