Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations
Photovoltaic (PV) modules may encounter nonuniform situations that reduce their useable power volume, causing ineffective maximum power point tracking (MPPT). Moreover, due to the incorporation of bypass diodes, power-voltage (P-V) graph has multi-peaks when each component of the module receives dif...
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| Veröffentlicht in: | PloS one 2024-12, Vol.19 (12), p.e0311177 |
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| creator | Adaikkappan, Maheshwari Sathiyamoorthy, Nageswari Ravichandran, Durga Devi Balasubramani, Karthikeyan Karuppannan, Sundararaju Palanisamy, Ramasamy Elbarbary, Zakaria M. S Al-Gahtani, Saad F Omar, Ahmed I |
| description | Photovoltaic (PV) modules may encounter nonuniform situations that reduce their useable power volume, causing ineffective maximum power point tracking (MPPT). Moreover, due to the incorporation of bypass diodes, power-voltage (P-V) graph has multi-peaks when each component of the module receives different solar irradiation. This paper proposes a solution to this problem using an arithmetic optimization algorithm (AOA) for MPPT in PV systems operating in nonuniform situations. The non-operational regions associated with the voltage are excluded using a single-ended primary inductance converter (SEPIC) with voltage step-up and step-down capability. The AOA-MPPT algorithm gets current and voltage as inputs from the PV modules. It computes the converter’s duty cycle and regulates the operational point to keep MPP under all working conditions. The proposed AOA-MPPT’s efficacy under different insolation patterns has been validated using three nonuniform conditions in terms of convergence, tracking speed, steady state oscillations, and tracking efficiency. In simulations, the proposed AOA-MPPT method and SEPIC converter demonstrated quick response and excellent steady-state performance. The tracking efficiency of the AOA-MPPT is above 99% and settling time is 200 to 300ms for all three non-uniform conditions. |
| doi_str_mv | 10.1371/journal.pone.0311177 |
| format | Article |
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The non-operational regions associated with the voltage are excluded using a single-ended primary inductance converter (SEPIC) with voltage step-up and step-down capability. The AOA-MPPT algorithm gets current and voltage as inputs from the PV modules. It computes the converter’s duty cycle and regulates the operational point to keep MPP under all working conditions. The proposed AOA-MPPT’s efficacy under different insolation patterns has been validated using three nonuniform conditions in terms of convergence, tracking speed, steady state oscillations, and tracking efficiency. In simulations, the proposed AOA-MPPT method and SEPIC converter demonstrated quick response and excellent steady-state performance. The tracking efficiency of the AOA-MPPT is above 99% and settling time is 200 to 300ms for all three non-uniform conditions.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311177</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Algorithms ; Alternative energy sources ; Arithmetic ; Computer and Information Sciences ; Earth Sciences ; Efficiency ; Electric potential ; Engineering and Technology ; Inductance ; Irradiation ; Machine learning ; Mathematical optimization ; Maximum power tracking ; Optimization ; Optimization algorithms ; Oscillations ; Photovoltaic cells ; Photovoltaics ; Physical Sciences ; Research and Analysis Methods ; Solar energy industry ; Solar irradiation ; Solar radiation ; Steady state ; Voltage ; Voltage converters (DC to DC) ; Working conditions</subject><ispartof>PloS one, 2024-12, Vol.19 (12), p.e0311177</ispartof><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Adaikkappan et al. 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S</creatorcontrib><creatorcontrib>Al-Gahtani, Saad F</creatorcontrib><creatorcontrib>Omar, Ahmed I</creatorcontrib><title>Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations</title><title>PloS one</title><description>Photovoltaic (PV) modules may encounter nonuniform situations that reduce their useable power volume, causing ineffective maximum power point tracking (MPPT). Moreover, due to the incorporation of bypass diodes, power-voltage (P-V) graph has multi-peaks when each component of the module receives different solar irradiation. This paper proposes a solution to this problem using an arithmetic optimization algorithm (AOA) for MPPT in PV systems operating in nonuniform situations. The non-operational regions associated with the voltage are excluded using a single-ended primary inductance converter (SEPIC) with voltage step-up and step-down capability. The AOA-MPPT algorithm gets current and voltage as inputs from the PV modules. 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S</au><au>Al-Gahtani, Saad F</au><au>Omar, Ahmed I</au><au>C, Dhanamjayulu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations</atitle><jtitle>PloS one</jtitle><date>2024-12-30</date><risdate>2024</risdate><volume>19</volume><issue>12</issue><spage>e0311177</spage><pages>e0311177-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Photovoltaic (PV) modules may encounter nonuniform situations that reduce their useable power volume, causing ineffective maximum power point tracking (MPPT). Moreover, due to the incorporation of bypass diodes, power-voltage (P-V) graph has multi-peaks when each component of the module receives different solar irradiation. This paper proposes a solution to this problem using an arithmetic optimization algorithm (AOA) for MPPT in PV systems operating in nonuniform situations. The non-operational regions associated with the voltage are excluded using a single-ended primary inductance converter (SEPIC) with voltage step-up and step-down capability. The AOA-MPPT algorithm gets current and voltage as inputs from the PV modules. It computes the converter’s duty cycle and regulates the operational point to keep MPP under all working conditions. The proposed AOA-MPPT’s efficacy under different insolation patterns has been validated using three nonuniform conditions in terms of convergence, tracking speed, steady state oscillations, and tracking efficiency. In simulations, the proposed AOA-MPPT method and SEPIC converter demonstrated quick response and excellent steady-state performance. 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| subjects | Algorithms Alternative energy sources Arithmetic Computer and Information Sciences Earth Sciences Efficiency Electric potential Engineering and Technology Inductance Irradiation Machine learning Mathematical optimization Maximum power tracking Optimization Optimization algorithms Oscillations Photovoltaic cells Photovoltaics Physical Sciences Research and Analysis Methods Solar energy industry Solar irradiation Solar radiation Steady state Voltage Voltage converters (DC to DC) Working conditions |
| title | Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations |
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