An efficient capuchin search algorithm for extracting the parameters of different PV cells/modules
Constructing an equivalent circuit for the photovoltaic (PV) generating unit converging the real operation is a difficult process because of unavailability of some parameters. Many approaches have been conducted in this field; however, they have some problems in computational time and are stuck in l...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1028816/full |
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| author | Hossam Hassan Ali Ahmed Fathy Ahmed Fathy Mujahed Al-Dhaifallah Mujahed Al-Dhaifallah Almoataz Y. Abdelaziz Mohamed Ebeed |
| author_facet | Hossam Hassan Ali Ahmed Fathy Ahmed Fathy Mujahed Al-Dhaifallah Mujahed Al-Dhaifallah Almoataz Y. Abdelaziz Mohamed Ebeed |
| author_sort | Hossam Hassan Ali |
| collection | DOAJ |
| description | Constructing an equivalent circuit for the photovoltaic (PV) generating unit converging the real operation is a difficult process because of unavailability of some parameters. Many approaches have been conducted in this field; however, they have some problems in computational time and are stuck in local optima. Therefore, this study proposes a simple, robust, and efficient methodology-incorporated capuchin search algorithm (CapSA) to construct the equivalent circuit of the PV generating unit via identifying its parameters. The CapSA is selected as it is simple and requires less computational time in addition to exploration/exploitation balance that avoids local optima. The process is formulated as an optimization problem, which aims at minimizing the root mean square error (RMSE) between measured and simulated currents. A single-diode model (SDM), double-diode model (DDM), and three-diode model (TDM) of different PV cells and panels operating at either constant or variable weather conditions are constructed. A comparison to different programmed metaheuristic approaches is conducted. The best RMSE values obtained by the proposed CapSA are 2.27804E-04, 1.3808E-04, and 1.5182E-04 for SDM, DDM, and TDM of PVW 752 cell, respectively. For the KC200GT panel, the proposed approach achieved the best fitness values of 3.4440E-04, 1.5617E-03, and 6.6008E-03 at 25°C, 50°C, and 75°C, respectively. The obtained results confirmed the superiority and competence of the proposed CapSA in constructing a reliable equivalent circuit for the PV cell/panel. |
| first_indexed | 2024-04-13T17:53:01Z |
| format | Article |
| id | doaj.art-118e8e72702d4d2a99d72c383df2c460 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-13T17:53:01Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-118e8e72702d4d2a99d72c383df2c4602022-12-22T02:36:36ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-10-011010.3389/fenrg.2022.10288161028816An efficient capuchin search algorithm for extracting the parameters of different PV cells/modulesHossam Hassan Ali0Ahmed Fathy1Ahmed Fathy2Mujahed Al-Dhaifallah3Mujahed Al-Dhaifallah4Almoataz Y. Abdelaziz5Mohamed Ebeed6Electrical Department, Faculty of Technology and Education, Sohag University, Sohag, EgyptElectrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka, Saudi Arabia.Electrical Power & Machine Department, Faculty of Engineering, Zagazig University, Zagazig, EgyptControl and Instrumentation Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaInterdisciplinary Research Center (IRC) for Renewable Energy and Power Systems, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaFaculty of Engineering and Technology, Future University in Egypt, Cairo, Egypt.Department of Electrical Engineering, Faculty of Engineering, Sohag University, Sohag, EgyptConstructing an equivalent circuit for the photovoltaic (PV) generating unit converging the real operation is a difficult process because of unavailability of some parameters. Many approaches have been conducted in this field; however, they have some problems in computational time and are stuck in local optima. Therefore, this study proposes a simple, robust, and efficient methodology-incorporated capuchin search algorithm (CapSA) to construct the equivalent circuit of the PV generating unit via identifying its parameters. The CapSA is selected as it is simple and requires less computational time in addition to exploration/exploitation balance that avoids local optima. The process is formulated as an optimization problem, which aims at minimizing the root mean square error (RMSE) between measured and simulated currents. A single-diode model (SDM), double-diode model (DDM), and three-diode model (TDM) of different PV cells and panels operating at either constant or variable weather conditions are constructed. A comparison to different programmed metaheuristic approaches is conducted. The best RMSE values obtained by the proposed CapSA are 2.27804E-04, 1.3808E-04, and 1.5182E-04 for SDM, DDM, and TDM of PVW 752 cell, respectively. For the KC200GT panel, the proposed approach achieved the best fitness values of 3.4440E-04, 1.5617E-03, and 6.6008E-03 at 25°C, 50°C, and 75°C, respectively. The obtained results confirmed the superiority and competence of the proposed CapSA in constructing a reliable equivalent circuit for the PV cell/panel.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1028816/fullcapuchin search algorithmPV equivalent circuitoptimizationparameter estimationrenewable energy |
| spellingShingle | Hossam Hassan Ali Ahmed Fathy Ahmed Fathy Mujahed Al-Dhaifallah Mujahed Al-Dhaifallah Almoataz Y. Abdelaziz Mohamed Ebeed An efficient capuchin search algorithm for extracting the parameters of different PV cells/modules Frontiers in Energy Research capuchin search algorithm PV equivalent circuit optimization parameter estimation renewable energy |
| title | An efficient capuchin search algorithm for extracting the parameters of different PV cells/modules |
| title_full | An efficient capuchin search algorithm for extracting the parameters of different PV cells/modules |
| title_fullStr | An efficient capuchin search algorithm for extracting the parameters of different PV cells/modules |
| title_full_unstemmed | An efficient capuchin search algorithm for extracting the parameters of different PV cells/modules |
| title_short | An efficient capuchin search algorithm for extracting the parameters of different PV cells/modules |
| title_sort | efficient capuchin search algorithm for extracting the parameters of different pv cells modules |
| topic | capuchin search algorithm PV equivalent circuit optimization parameter estimation renewable energy |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1028816/full |
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