Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant
The major shortcoming in the extraction of electrical energy occurs due to partial shading over a limited area of vast spread solar panels underpinning reduction of efficiency. A number of panels are interconnected in series and parallel to form a photovoltaic (PV) array for large power plants and a...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2022-06-01
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| Series: | Electrical, Control and Communication Engineering |
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| Online Access: | https://doi.org/10.2478/ecce-2022-0003 |
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| _version_ | 1846144306737315840 |
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| author | Sheryar Muhammad Umer Farhana Muhammad Aoun Rashid Zeeshan |
| author_facet | Sheryar Muhammad Umer Farhana Muhammad Aoun Rashid Zeeshan |
| author_sort | Sheryar Muhammad |
| collection | DOAJ |
| description | The major shortcoming in the extraction of electrical energy occurs due to partial shading over a limited area of vast spread solar panels underpinning reduction of efficiency. A number of panels are interconnected in series and parallel to form a photovoltaic (PV) array for large power plants and a shadow over a single cell deteriorates overall performance. As a consequence, several peaks are added to the P-V curve causing hotspots in PV panels, degradation of the PV system, and collapse of tracking algorithms. In order to minimize such issues in PV panels, an effective optimization technique is developed by reconfiguring the panels which are capable of reaching the full global power point in a PV system under partial shading conditions. The study proposes particle swarm optimization (PSO) using PV characteristics of Quaid-e-Azam Solar Plant (QASP) in Punjab, Pakistan1. In PSO, electrical connections of PV modules are changed keeping their physical locations unaltered aiming to improve the performance of the PV system. After reconfiguration, the algorithm finds the best combination of PV modules by equalizing the row currents followed by the comparison of row current, voltages, and power of panels. The proposed PSO is proved to be an efficient method for reconfiguring PV modules in very less computational time by increasing the output power of shaded modules. |
| format | Article |
| id | doaj-art-a51da03daa794033b63fa6c3db6f18cf |
| institution | Kabale University |
| issn | 2255-9159 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Electrical, Control and Communication Engineering |
| spelling | doaj-art-a51da03daa794033b63fa6c3db6f18cf2024-12-02T08:04:54ZengRiga Technical University PressElectrical, Control and Communication Engineering2255-91592022-06-01181182610.2478/ecce-2022-0003Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar PlantSheryar Muhammad0Umer Farhana1Muhammad Aoun2Rashid Zeeshan3The Islamia University of Bahawalpur, Bahawalpur, PakistanThe Islamia University of Bahawalpur, Bahawalpur, PakistanThe Islamia University of Bahawalpur, Bahawalpur, PakistanThe Islamia University of Bahawalpur, Bahawalpur, PakistanThe major shortcoming in the extraction of electrical energy occurs due to partial shading over a limited area of vast spread solar panels underpinning reduction of efficiency. A number of panels are interconnected in series and parallel to form a photovoltaic (PV) array for large power plants and a shadow over a single cell deteriorates overall performance. As a consequence, several peaks are added to the P-V curve causing hotspots in PV panels, degradation of the PV system, and collapse of tracking algorithms. In order to minimize such issues in PV panels, an effective optimization technique is developed by reconfiguring the panels which are capable of reaching the full global power point in a PV system under partial shading conditions. The study proposes particle swarm optimization (PSO) using PV characteristics of Quaid-e-Azam Solar Plant (QASP) in Punjab, Pakistan1. In PSO, electrical connections of PV modules are changed keeping their physical locations unaltered aiming to improve the performance of the PV system. After reconfiguration, the algorithm finds the best combination of PV modules by equalizing the row currents followed by the comparison of row current, voltages, and power of panels. The proposed PSO is proved to be an efficient method for reconfiguring PV modules in very less computational time by increasing the output power of shaded modules.https://doi.org/10.2478/ecce-2022-0003computational efficiencymaximum power point trackersparticle swarm optimizationphotoelectricityphotovoltaic systemspower system transients |
| spellingShingle | Sheryar Muhammad Umer Farhana Muhammad Aoun Rashid Zeeshan Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant Electrical, Control and Communication Engineering computational efficiency maximum power point trackers particle swarm optimization photoelectricity photovoltaic systems power system transients |
| title | Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant |
| title_full | Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant |
| title_fullStr | Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant |
| title_full_unstemmed | Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant |
| title_short | Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant |
| title_sort | reconfiguration and analysis of pv array based on particle swarm optimization of solar plant |
| topic | computational efficiency maximum power point trackers particle swarm optimization photoelectricity photovoltaic systems power system transients |
| url | https://doi.org/10.2478/ecce-2022-0003 |
| work_keys_str_mv | AT sheryarmuhammad reconfigurationandanalysisofpvarraybasedonparticleswarmoptimizationofsolarplant AT umerfarhana reconfigurationandanalysisofpvarraybasedonparticleswarmoptimizationofsolarplant AT muhammadaoun reconfigurationandanalysisofpvarraybasedonparticleswarmoptimizationofsolarplant AT rashidzeeshan reconfigurationandanalysisofpvarraybasedonparticleswarmoptimizationofsolarplant |