Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic system
The shift towards renewable energy sources has heightened the interest in solar photovoltaic (SPV) systems, particularly in grid-connected configurations, to enhance energy security and reduce carbon emissions. Grid-tied SPVs face power quality challenges when specific grid codes are compromised. Th...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Solar Compass |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S277294002400033X |
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| author | Edward Dodzi Amekah Emmanuel Wendsongre Ramde David Ato Quansah Elvis Twumasi Stefanie Meilinger Thorsten Schneiders |
| author_facet | Edward Dodzi Amekah Emmanuel Wendsongre Ramde David Ato Quansah Elvis Twumasi Stefanie Meilinger Thorsten Schneiders |
| author_sort | Edward Dodzi Amekah |
| collection | DOAJ |
| description | The shift towards renewable energy sources has heightened the interest in solar photovoltaic (SPV) systems, particularly in grid-connected configurations, to enhance energy security and reduce carbon emissions. Grid-tied SPVs face power quality challenges when specific grid codes are compromised. This study investigates and upgrades an integrated 90 kWp solar plant within a distribution network, leveraging data from Ghana's Energy Self-Sufficiency for Health Facilities (EnerSHelF) project. The research explores four scenarios for SPV placement optimization using dynamic programming and the Conditional New Adaptive Foraging Tree Squirrel Search Algorithm (CNAFTSSA). A Python-based simulation identifies three scenarios, high load nodes, voltage drop nodes, and system loss nodes, as the points for placing PV for better performance. The analysis revealed 85 %, 82.88 %, and 100 % optimal SPV penetration levels for placing the SPV at high load, voltage drop, and loss nodes. System active power losses were reduced by 72.97 %, 71.52 %, and 70.15 %, and reactive power losses by 73.12 %, 71.86 %, and 68.11 %, respectively, by placing the SPV at the above three categories of nodes. The fourth scenario applies to CNAFTSSA, achieving 100 % SPV penetration and reducing active and reactive power losses by 72.33 % and 72.55 %, respectively. This approach optimizes the voltage regulation (VR) from 24.92 % to 4.16 %, outperforming the VR of PV placement at high load nodes, voltage drop nodes, and loss nodes, where the voltage regulations are 5.25 %, 9.36 %, and 9.64 %, respectively. The novel CNAFTSSA for optimal SPV placement demonstrates its effectiveness in achieving higher penetration levels and improving system losses and VR. The findings highlight the effectiveness of strategic SPV placement and offer a comprehensive methodology that can be adapted for similar power distribution systems. |
| format | Article |
| id | doaj-art-00baa98892ee4c7d84a3556c63791c99 |
| institution | Kabale University |
| issn | 2772-9400 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Solar Compass |
| spelling | doaj-art-00baa98892ee4c7d84a3556c63791c992024-12-12T05:24:39ZengElsevierSolar Compass2772-94002024-12-0112100099Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic systemEdward Dodzi Amekah0Emmanuel Wendsongre Ramde1David Ato Quansah2Elvis Twumasi3Stefanie Meilinger4Thorsten Schneiders5Department of Mechanical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Corresponding author.Department of Mechanical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Brew-Hammond Energy Centre, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; West Africa Science Service Centre for Climate Change and Adapted Land Use (WASCAL) Accra, GhanaDepartment of Mechanical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Brew-Hammond Energy Centre, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Electrical and Electronic Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana,; Brew-Hammond Energy Centre, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaUniversity of Applied Sciences Bonn-Rhein-Sieg, GermanyCologne University of Applied Sciences, GermanyThe shift towards renewable energy sources has heightened the interest in solar photovoltaic (SPV) systems, particularly in grid-connected configurations, to enhance energy security and reduce carbon emissions. Grid-tied SPVs face power quality challenges when specific grid codes are compromised. This study investigates and upgrades an integrated 90 kWp solar plant within a distribution network, leveraging data from Ghana's Energy Self-Sufficiency for Health Facilities (EnerSHelF) project. The research explores four scenarios for SPV placement optimization using dynamic programming and the Conditional New Adaptive Foraging Tree Squirrel Search Algorithm (CNAFTSSA). A Python-based simulation identifies three scenarios, high load nodes, voltage drop nodes, and system loss nodes, as the points for placing PV for better performance. The analysis revealed 85 %, 82.88 %, and 100 % optimal SPV penetration levels for placing the SPV at high load, voltage drop, and loss nodes. System active power losses were reduced by 72.97 %, 71.52 %, and 70.15 %, and reactive power losses by 73.12 %, 71.86 %, and 68.11 %, respectively, by placing the SPV at the above three categories of nodes. The fourth scenario applies to CNAFTSSA, achieving 100 % SPV penetration and reducing active and reactive power losses by 72.33 % and 72.55 %, respectively. This approach optimizes the voltage regulation (VR) from 24.92 % to 4.16 %, outperforming the VR of PV placement at high load nodes, voltage drop nodes, and loss nodes, where the voltage regulations are 5.25 %, 9.36 %, and 9.64 %, respectively. The novel CNAFTSSA for optimal SPV placement demonstrates its effectiveness in achieving higher penetration levels and improving system losses and VR. The findings highlight the effectiveness of strategic SPV placement and offer a comprehensive methodology that can be adapted for similar power distribution systems.http://www.sciencedirect.com/science/article/pii/S277294002400033XFossil fuel powerSolar energyGrid-connected hybrid energy systemsphotovoltaic systemsVoltage profilesystem losses |
| spellingShingle | Edward Dodzi Amekah Emmanuel Wendsongre Ramde David Ato Quansah Elvis Twumasi Stefanie Meilinger Thorsten Schneiders Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic system Solar Compass Fossil fuel power Solar energy Grid-connected hybrid energy systems photovoltaic systems Voltage profile system losses |
| title | Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic system |
| title_full | Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic system |
| title_fullStr | Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic system |
| title_full_unstemmed | Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic system |
| title_short | Optimal placement and upgrade of solar PV integration in a grid-connected solar photovoltaic system |
| title_sort | optimal placement and upgrade of solar pv integration in a grid connected solar photovoltaic system |
| topic | Fossil fuel power Solar energy Grid-connected hybrid energy systems photovoltaic systems Voltage profile system losses |
| url | http://www.sciencedirect.com/science/article/pii/S277294002400033X |
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