MPPT control of photovoltaic array based on improved marine predator algorithm under complex solar irradiance conditions
In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in output power. An optimization algorithm with global optimization capability is needed to track its maximum power. In this regard, this paper proposes...
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| Published in | Scientific reports Vol. 14; no. 1; pp. 19745 - 22 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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London
Nature Publishing Group UK
26.08.2024
Nature Publishing Group Nature Portfolio |
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| Online Access | Get full text |
| ISSN | 2045-2322 2045-2322 |
| DOI | 10.1038/s41598-024-70811-x |
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| Abstract | In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in output power. An optimization algorithm with global optimization capability is needed to track its maximum power. In this regard, this paper proposes an improved marine predator algorithm (IMPA) to extract the maximum power point of photovoltaic system under complex solar irradiation conditions. To overcome the issues in the traditional marine predator algorithm (MPA), the opposition-based learning(OBL) strategy is introduced in IMPA, and the sine cosine algorithm (SCA) is integrated into the iteration stage to enhance the search ability of the algorithm. Furthermore, the low-order converter in the traditional MPPT control system is replaced by the Zeta converter, which increases the operating voltage range. Ultimately, simulation results demonstrate that the MPPT based on IMPA has higher tracking efficiency and shorter response time.The experimental results also indicate the practical feasibility of this method, as well as its high level of stability and robustness. |
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| AbstractList | In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in output power. An optimization algorithm with global optimization capability is needed to track its maximum power. In this regard, this paper proposes an improved marine predator algorithm (IMPA) to extract the maximum power point of photovoltaic system under complex solar irradiation conditions. To overcome the issues in the traditional marine predator algorithm (MPA), the opposition-based learning(OBL) strategy is introduced in IMPA, and the sine cosine algorithm (SCA) is integrated into the iteration stage to enhance the search ability of the algorithm. Furthermore, the low-order converter in the traditional MPPT control system is replaced by the Zeta converter, which increases the operating voltage range. Ultimately, simulation results demonstrate that the MPPT based on IMPA has higher tracking efficiency and shorter response time.The experimental results also indicate the practical feasibility of this method, as well as its high level of stability and robustness. In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in output power. An optimization algorithm with global optimization capability is needed to track its maximum power. In this regard, this paper proposes an improved marine predator algorithm (IMPA) to extract the maximum power point of photovoltaic system under complex solar irradiation conditions. To overcome the issues in the traditional marine predator algorithm (MPA), the opposition-based learning(OBL) strategy is introduced in IMPA, and the sine cosine algorithm (SCA) is integrated into the iteration stage to enhance the search ability of the algorithm. Furthermore, the low-order converter in the traditional MPPT control system is replaced by the Zeta converter, which increases the operating voltage range. Ultimately, simulation results demonstrate that the MPPT based on IMPA has higher tracking efficiency and shorter response time.The experimental results also indicate the practical feasibility of this method, as well as its high level of stability and robustness.In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in output power. An optimization algorithm with global optimization capability is needed to track its maximum power. In this regard, this paper proposes an improved marine predator algorithm (IMPA) to extract the maximum power point of photovoltaic system under complex solar irradiation conditions. To overcome the issues in the traditional marine predator algorithm (MPA), the opposition-based learning(OBL) strategy is introduced in IMPA, and the sine cosine algorithm (SCA) is integrated into the iteration stage to enhance the search ability of the algorithm. Furthermore, the low-order converter in the traditional MPPT control system is replaced by the Zeta converter, which increases the operating voltage range. Ultimately, simulation results demonstrate that the MPPT based on IMPA has higher tracking efficiency and shorter response time.The experimental results also indicate the practical feasibility of this method, as well as its high level of stability and robustness. Abstract In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in output power. An optimization algorithm with global optimization capability is needed to track its maximum power. In this regard, this paper proposes an improved marine predator algorithm (IMPA) to extract the maximum power point of photovoltaic system under complex solar irradiation conditions. To overcome the issues in the traditional marine predator algorithm (MPA), the opposition-based learning(OBL) strategy is introduced in IMPA, and the sine cosine algorithm (SCA) is integrated into the iteration stage to enhance the search ability of the algorithm. Furthermore, the low-order converter in the traditional MPPT control system is replaced by the Zeta converter, which increases the operating voltage range. Ultimately, simulation results demonstrate that the MPPT based on IMPA has higher tracking efficiency and shorter response time.The experimental results also indicate the practical feasibility of this method, as well as its high level of stability and robustness. |
| ArticleNumber | 19745 |
| Author | Wang, Xiaowei Wang, Lihua Zhang, Haiyang Ge, Yingkai Zhang, Jiasheng |
| Author_xml | – sequence: 1 givenname: Haiyang surname: Zhang fullname: Zhang, Haiyang organization: College of Electronic and Information Engineering, Shandong University of Science and Technology – sequence: 2 givenname: Xiaowei surname: Wang fullname: Wang, Xiaowei organization: College of Electronic and Information Engineering, Shandong University of Science and Technology – sequence: 3 givenname: Jiasheng surname: Zhang fullname: Zhang, Jiasheng organization: College of Electronic and Information Engineering, Shandong University of Science and Technology – sequence: 4 givenname: Yingkai surname: Ge fullname: Ge, Yingkai organization: College of Electronic and Information Engineering, Shandong University of Science and Technology – sequence: 5 givenname: Lihua surname: Wang fullname: Wang, Lihua email: wanglihua7141@163.com organization: College of Electronic and Information Engineering, Shandong University of Science and Technology |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39187564$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.knosys.2022.108320 10.1016/j.solener.2016.09.027 10.1016/j.enconman.2020.113409 10.1016/j.energy.2020.116995 10.1088/1757-899X/643/1/012050 10.1016/j.advengsoft.2023.103517 10.1016/j.ijhydene.2022.12.284 10.1016/j.energy.2023.126680 10.1088/1757-899X/643/1/012094 10.1016/j.knosys.2021.107348 10.1080/03772063.2021.1988874 10.1007/s00500-020-04723-z 10.1049/rpg2.12505 10.1016/j.apenergy.2013.12.062 10.1016/j.renene.2014.09.044 10.1016/j.knosys.2015.12.022 10.1016/j.esd.2020.01.007 10.1109/TII.2018.2793210 10.1109/JSYST.2019.2949083 10.1016/j.advengsoft.2016.01.008 10.1016/j.cie.2021.107224 10.1016/j.renene.2023.01.023 10.1016/j.enconman.2023.117124 10.1007/s00521-015-1870-7 10.1016/j.solener.2012.06.004 10.1109/JSYST.2018.2817584 10.1109/TIE.2023.3260345 10.1049/rpg2.12665 10.1016/j.enconman.2020.113773 10.1109/CIMCA.2005.1631345 10.3390/su132111650 10.1016/j.eswa.2020.113377 10.3390/electronics7110327 10.1016/j.energy.2023.128901 10.22581/muet1982.2204.12 10.1109/ACCESS.2023.3315150 10.1016/j.enconman.2023.116767 10.1016/j.apenergy.2017.05.045 10.1016/j.advengsoft.2022.103272 10.3390/su15043332 10.1016/j.knosys.2022.110192 10.1049/rpg2.12738 10.1016/j.renene.2018.08.077 10.3390/en15218043 10.1016/j.energy.2023.129169 10.1016/j.cose.2023.103155 10.1109/TII.2017.2700327 10.1016/j.solener.2017.10.027 |
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| Keywords | MPPT Complex solar irradiation conditions Zeta converter MPA |
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| References | TeyKSImproved differential evolution-based mppt algorithm using sepic for pv systems under partial shading conditions and load variationIEEE Trans. Ind. Inf.2018144322433310.1109/TII.2018.2793210 ShengqingLFujunLJianZWenCDonghuiZAn improved mppt control strategy based on incremental conductance methodSoft Comput.2020246039604610.1007/s00500-020-04723-z DileepGSinghSAn improved particle swarm optimization based maximum power point tracking algorithm for pv system operating under partial shading conditionsSol. Energy2017158100610152017SoEn..158.1006D10.1016/j.solener.2017.10.027 ShiyongZMuhammadSMuhammadAHJingGAbdulMHAdvanced optimizer for maximum power point tracking of photovoltaic systems in smart grid: A roadmap towards clean energy technologiesRenew. Energy20232061326133510.1016/j.renene.2023.01.023 Abdel-RahimOAlghaythiMLAlshammariMSOshebaDSMEnhancing photovoltaic conversion efficiency with model predictive control-based sensor-reduced maximum power point tracking in modified sepic convertersIEEE Access20231110076910078010.1109/ACCESS.2023.3315150 FaramarziAHeidarinejadMMirjaliliSGandomiAHMarine predators algorithm: A nature-inspired metaheuristicExpert Syst. Appl.202015211337711337710.1016/j.eswa.2020.113377 AfzalAMMBilalAAYaqoobJMZsoltCOrdering technique for the maximum power point tracking of an islanded solar photovoltaic systemSustainability2023153332333210.3390/su15043332 PriyadarshiNBhaskarMSAlmakhlesDA novel hybrid whale optimization algorithm differential evolution algorithm-based maximum power point tracking employed wind energy conversion systems for water pumping applications: Practical realizationIEEE Trans. Ind. Electron.2024711641165210.1109/TIE.2023.3260345 HegazyRMazenAMMujahedASoufieneBA sine cosine algorithm-based fractional mppt for thermoelectric generation systemSustainability202113116501165010.3390/su132111650 MirjaliliSLewisAThe whale optimization algorithmAdv. Eng. Softw.201695516710.1016/j.advengsoft.2016.01.008 KumarNHussainISinghBPanigrahiBKRapid mppt for uniformly and partial shaded pv system by using Jayade algorithm in highly fluctuating atmospheric conditionsIEEE Trans. Ind. Inf.2017132406241610.1109/TII.2017.2700327 MohamedMAZaki DiabAARezkHPartial shading mitigation of pv systems via different meta-heuristic techniquesRenew. Energy20191301159117510.1016/j.renene.2018.08.077 SundareswaranKkumarVVPalaniSApplication of a combined particle swarm optimization and perturb and observe method for mppt in pv systems under partial shading conditionsRenew. Energy20157530831710.1016/j.renene.2014.09.044 AmirSWoascalf: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problemsAdv. Eng. Softw.202217310.1016/j.advengsoft.2022.103272 EfrainMAlexandroOIsraelMArturoMExperimental validation of an enhanced mppt algorithm and an optimal dc-dc converter design powered by metaheuristic optimization for pv systemsEnergies2022158043804310.3390/en15218043 HousseinEHAn improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentationKnowl. Based Syst.202122910.1016/j.knosys.2021.107348 MirzaAFMansoorMLingQA novel mppt technique based on henry gas solubility optimizationEnergy Convers. Manag.202022510.1016/j.enconman.2020.113409 OsmanMHRefaatAAdaptive multi-variable step size p &o mppt for high tracking-speed and accuracyIOP Conf. Ser. Mater. Sci. Eng.201964301205001205010.1088/1757-899X/643/1/012050 PriyadarshiNMarotiPKKhanBAn adaptive grid integrated photovoltaic system with perturb t-s fuzzy based sliding mode controller mppt tracker: An experimental realizationIET Renew. Power Gen.202310.1049/rpg2.12738 Tizhoosh, H. Opposition-based learning: A new scheme for machine intelligence. International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC’06)1, 695–701, https://doi.org/10.1109/CIMCA.2005.1631345 (2005). ChauhanUSinghVKumarBRaniAAn improved mvo assisted global mppt algorithm for partially shaded pv systemJ. Intell. Fuzzy Syst.202038112 PalaniswamyAMSrinivasanKTakagi-sugeno fuzzy approach for power optimization in standalone photovoltaic systemsSol. Energy20161392132202016SoEn..139..213P10.1016/j.solener.2016.09.027 WenqiangYXinxinZQingeXZhileYEnhanced multi-objective marine predator algorithm for dynamic economic-grid fluctuation dispatch with plug-in electric vehiclesEnergy202328210.1016/j.energy.2023.128901 InjilaSArchimedes optimization algorithm (aoa)-based global maximum power point tracking for a photovoltaic system under partial and complex shading conditionsEnergy202328310.1016/j.energy.2023.129169 BerkanASEnhanced marine predator algorithm for global optimization and engineering design problemsAdv. Eng. Softw.202318410.1016/j.advengsoft.2023.103517 Afzal AwanMMMahmoodTA novel ten check maximum power point tracking algorithm for a standalone solar photovoltaic systemElectronics201810.3390/electronics7110327 DalilaFMohamedFImmadSSaadMA novel global mppt technique based on squirrel search algorithm for pv module under partial shading conditionsEnergy Convers. Manag.202123010.1016/j.enconman.2020.113773 HashimFAHussienAGSnake optimizer: A novel meta-heuristic optimization algorithmKnowl. Based Syst.202224210.1016/j.knosys.2022.108320 KalaiselvanNModelling and real time performance evaluation of a 5 mw grid-connected solar photovoltaic plant using different artificial neural networksEnergy Convers. Manag.202327910.1016/j.enconman.2023.116767 HojatKValikhanAMSaeedFSeyedaliMFlow direction algorithm (fda): A novel optimization approach for solving optimization problemsComput. Ind. Eng.202115610.1016/j.cie.2021.107224 OlaRHananBA new technique for estimation of photovoltaic system and tracking power peaks of pv array under partial shadingEnergy202326810.1016/j.energy.2023.126680 RefaatAOsmanMHCurrent collector optimizer topology to improve maximum power from pv array under partial shading conditionsIOP Conf. Ser. Mater. Sci. Eng.201964310.1088/1757-899X/643/1/012094 BabuBRSureshMKumarBPApplication of radial basis neural network in mppt technique for stand-alone pv system under partial shading conditionsIETE J. Res.2023696409643010.1080/03772063.2021.1988874 TianHMancilla-DavidFEllisKMuljadiEJenkinsPA cell-to-module-to-array detailed model for photovoltaic panelsSol. Energy201286269527062012SoEn...86.2695T10.1016/j.solener.2012.06.004 AhmedJSalamZA maximum power point tracking (mppt) for pv system using cuckoo search with partial shading capabilityAppl. Energy20141191181302014ApEn..119..118A10.1016/j.apenergy.2013.12.062 ChandrasekaranKSankarSBanumalarKPartial shading detection for pv arrays in a maximum power tracking system using the sine-cosine algorithmEnergy Sustain. Dev.20205510512110.1016/j.esd.2020.01.007 AhmedRHassanOMKorovkinNVCurrent collector optimizer topology to extract maximum power from non-uniform aged pv arrayEnergy202019511699510.1016/j.energy.2020.116995 AwanMMAAwanMJAdapted flower pollination algorithm for a standalone solar photovoltaic systemMehran Univ. Res. J. Eng. Technol.20224111812710.22581/muet1982.2204.12 IRENA, F. World energy transitions outlook 2022: 1.5∘\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.5^{\circ }$$\end{document}c pathway. International Renewable Energy Agency (2022). MirjaliliSMirjaliliSMHatamlouAMulti-verse optimizer: A nature-inspired algorithm for global optimizationNeural Comput. Appl.20162749551310.1007/s00521-015-1870-7 SumitKChaotic marine predators algorithm for global optimization of real-world engineering problemsKnowl. Based Syst.202326110.1016/j.knosys.2022.110192 AhmedRA novel metaheuristic mppt technique based on enhanced autonomous group particle swarm optimization algorithm to track the gmpp under partial shading conditions - experimental validationEnergy Convers. Manag.202328710.1016/j.enconman.2023.117124 PriyadarshiNPadmanabanSHolm-NielsenJBBlaabjergFBhaskarMSAn experimental estimation of hybrid anfis-pso-based mppt for pv grid integration under fluctuating sun irradianceIEEE Syst. J.202014121812292020ISysJ..14.1218P10.1109/JSYST.2019.2949083 PriyadarshiNAn adaptive ts-fuzzy model based rbf neural network learning for grid integrated photovoltaic applicationsIET Renew. Power Gen.2022163149316010.1049/rpg2.12505 MirjaliliSSca: A sine cosine algorithm for solving optimization problemsKnowl. Based Syst.20169612013310.1016/j.knosys.2015.12.022 PriyadarshiNPadmanabanSKiran MarotiPSharmaAAn extensive practical investigation of fpso-based mppt for grid integrated pv system under variable operating conditions with anti-islanding protectionIEEE Syst. J.201913186118712019ISysJ..13.1861P10.1109/JSYST.2018.2817584 PriyadarshiNSanjeevikumarPBhaskarMSAzamFMuyeenSMAn improved standalone photovoltaic system with hybrid dual integral sliding mode and model predictive control for mpptIET Renew. Power Gen.202210.1049/rpg2.12665 LinjuanGGuolianHCongzhiHA two-stage mppt controller for pv system based on the improved artificial bee colony and simultaneous heat transfer search algorithmISA Trans.2022132428443 BradaiRExperimental assessment of new fast mppt algorithm for pv systems under non-uniform irradiance conditionsAppl. Energy20171994164292017ApEn..199..416B10.1016/j.apenergy.2017.05.045 RajeshKVenkatesanSA novel mppt controller based pemfc system for electric vehicle applications with interleaved sepic converterInt. J. Hydrogen Energy202348143911440510.1016/j.ijhydene.2022.12.284 NirmalapriyaGMaramBLakshmananRNavaneethakrishnanMAsca-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detectionComput. Secur.202312810.1016/j.cose.2023.103155 Z Shiyong (70811_CR26) 2023; 206 FA Hashim (70811_CR36) 2022; 242 70811_CR1 K Sundareswaran (70811_CR28) 2015; 75 G Linjuan (70811_CR23) 2022; 132 S Mirjalili (70811_CR33) 2016; 95 N Priyadarshi (70811_CR18) 2019; 13 R Ola (70811_CR6) 2023; 268 N Priyadarshi (70811_CR20) 2022 N Priyadarshi (70811_CR17) 2020; 14 K Hojat (70811_CR35) 2021; 156 G Dileep (70811_CR49) 2017; 158 BR Babu (70811_CR12) 2023; 69 N Priyadarshi (70811_CR22) 2024; 71 EH Houssein (70811_CR45) 2021; 229 K Sumit (70811_CR38) 2023; 261 A Refaat (70811_CR4) 2019; 643 O Abdel-Rahim (70811_CR42) 2023; 11 S Injila (70811_CR5) 2023; 283 U Chauhan (70811_CR34) 2020; 38 N Kalaiselvan (70811_CR3) 2023; 279 N Kumar (70811_CR15) 2017; 13 J Ahmed (70811_CR31) 2014; 119 S Mirjalili (70811_CR51) 2016; 27 S Amir (70811_CR48) 2022; 173 AMM Afzal (70811_CR13) 2023; 15 N Priyadarshi (70811_CR19) 2022; 16 AM Palaniswamy (70811_CR11) 2016; 139 AS Berkan (70811_CR39) 2023; 184 MMA Awan (70811_CR16) 2022; 41 K Chandrasekaran (70811_CR24) 2020; 55 MA Mohamed (70811_CR29) 2019; 130 A Faramarzi (70811_CR30) 2020; 152 MH Osman (70811_CR8) 2019; 643 F Dalila (70811_CR25) 2021; 230 H Tian (70811_CR40) 2012; 86 K Rajesh (70811_CR43) 2023; 48 R Ahmed (70811_CR7) 2023; 287 M Efrain (70811_CR32) 2022; 15 L Shengqing (70811_CR10) 2020; 24 KS Tey (70811_CR41) 2018; 14 AF Mirza (70811_CR27) 2020; 225 R Bradai (70811_CR9) 2017; 199 Y Wenqiang (70811_CR37) 2023; 282 70811_CR44 G Nirmalapriya (70811_CR46) 2023; 128 N Priyadarshi (70811_CR21) 2023 R Hegazy (70811_CR47) 2021; 13 MM Afzal Awan (70811_CR14) 2018 R Ahmed (70811_CR2) 2020; 195 S Mirjalili (70811_CR50) 2016; 96 |
| References_xml | – reference: DalilaFMohamedFImmadSSaadMA novel global mppt technique based on squirrel search algorithm for pv module under partial shading conditionsEnergy Convers. Manag.202123010.1016/j.enconman.2020.113773 – reference: EfrainMAlexandroOIsraelMArturoMExperimental validation of an enhanced mppt algorithm and an optimal dc-dc converter design powered by metaheuristic optimization for pv systemsEnergies2022158043804310.3390/en15218043 – reference: HousseinEHAn improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentationKnowl. Based Syst.202122910.1016/j.knosys.2021.107348 – reference: LinjuanGGuolianHCongzhiHA two-stage mppt controller for pv system based on the improved artificial bee colony and simultaneous heat transfer search algorithmISA Trans.2022132428443 – reference: WenqiangYXinxinZQingeXZhileYEnhanced multi-objective marine predator algorithm for dynamic economic-grid fluctuation dispatch with plug-in electric vehiclesEnergy202328210.1016/j.energy.2023.128901 – reference: AhmedRA novel metaheuristic mppt technique based on enhanced autonomous group particle swarm optimization algorithm to track the gmpp under partial shading conditions - experimental validationEnergy Convers. Manag.202328710.1016/j.enconman.2023.117124 – reference: AhmedRHassanOMKorovkinNVCurrent collector optimizer topology to extract maximum power from non-uniform aged pv arrayEnergy202019511699510.1016/j.energy.2020.116995 – reference: AfzalAMMBilalAAYaqoobJMZsoltCOrdering technique for the maximum power point tracking of an islanded solar photovoltaic systemSustainability2023153332333210.3390/su15043332 – reference: HojatKValikhanAMSaeedFSeyedaliMFlow direction algorithm (fda): A novel optimization approach for solving optimization problemsComput. Ind. Eng.202115610.1016/j.cie.2021.107224 – reference: TianHMancilla-DavidFEllisKMuljadiEJenkinsPA cell-to-module-to-array detailed model for photovoltaic panelsSol. Energy201286269527062012SoEn...86.2695T10.1016/j.solener.2012.06.004 – reference: Abdel-RahimOAlghaythiMLAlshammariMSOshebaDSMEnhancing photovoltaic conversion efficiency with model predictive control-based sensor-reduced maximum power point tracking in modified sepic convertersIEEE Access20231110076910078010.1109/ACCESS.2023.3315150 – reference: KalaiselvanNModelling and real time performance evaluation of a 5 mw grid-connected solar photovoltaic plant using different artificial neural networksEnergy Convers. Manag.202327910.1016/j.enconman.2023.116767 – reference: HashimFAHussienAGSnake optimizer: A novel meta-heuristic optimization algorithmKnowl. Based Syst.202224210.1016/j.knosys.2022.108320 – reference: OlaRHananBA new technique for estimation of photovoltaic system and tracking power peaks of pv array under partial shadingEnergy202326810.1016/j.energy.2023.126680 – reference: PriyadarshiNAn adaptive ts-fuzzy model based rbf neural network learning for grid integrated photovoltaic applicationsIET Renew. Power Gen.2022163149316010.1049/rpg2.12505 – reference: PriyadarshiNSanjeevikumarPBhaskarMSAzamFMuyeenSMAn improved standalone photovoltaic system with hybrid dual integral sliding mode and model predictive control for mpptIET Renew. Power Gen.202210.1049/rpg2.12665 – reference: MirzaAFMansoorMLingQA novel mppt technique based on henry gas solubility optimizationEnergy Convers. Manag.202022510.1016/j.enconman.2020.113409 – reference: AwanMMAAwanMJAdapted flower pollination algorithm for a standalone solar photovoltaic systemMehran Univ. Res. J. Eng. Technol.20224111812710.22581/muet1982.2204.12 – reference: PriyadarshiNPadmanabanSKiran MarotiPSharmaAAn extensive practical investigation of fpso-based mppt for grid integrated pv system under variable operating conditions with anti-islanding protectionIEEE Syst. J.201913186118712019ISysJ..13.1861P10.1109/JSYST.2018.2817584 – reference: SundareswaranKkumarVVPalaniSApplication of a combined particle swarm optimization and perturb and observe method for mppt in pv systems under partial shading conditionsRenew. Energy20157530831710.1016/j.renene.2014.09.044 – reference: SumitKChaotic marine predators algorithm for global optimization of real-world engineering problemsKnowl. Based Syst.202326110.1016/j.knosys.2022.110192 – reference: DileepGSinghSAn improved particle swarm optimization based maximum power point tracking algorithm for pv system operating under partial shading conditionsSol. Energy2017158100610152017SoEn..158.1006D10.1016/j.solener.2017.10.027 – reference: ChandrasekaranKSankarSBanumalarKPartial shading detection for pv arrays in a maximum power tracking system using the sine-cosine algorithmEnergy Sustain. Dev.20205510512110.1016/j.esd.2020.01.007 – reference: BabuBRSureshMKumarBPApplication of radial basis neural network in mppt technique for stand-alone pv system under partial shading conditionsIETE J. Res.2023696409643010.1080/03772063.2021.1988874 – reference: PalaniswamyAMSrinivasanKTakagi-sugeno fuzzy approach for power optimization in standalone photovoltaic systemsSol. Energy20161392132202016SoEn..139..213P10.1016/j.solener.2016.09.027 – reference: NirmalapriyaGMaramBLakshmananRNavaneethakrishnanMAsca-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detectionComput. Secur.202312810.1016/j.cose.2023.103155 – reference: HegazyRMazenAMMujahedASoufieneBA sine cosine algorithm-based fractional mppt for thermoelectric generation systemSustainability202113116501165010.3390/su132111650 – reference: InjilaSArchimedes optimization algorithm (aoa)-based global maximum power point tracking for a photovoltaic system under partial and complex shading conditionsEnergy202328310.1016/j.energy.2023.129169 – reference: ChauhanUSinghVKumarBRaniAAn improved mvo assisted global mppt algorithm for partially shaded pv systemJ. Intell. Fuzzy Syst.202038112 – reference: FaramarziAHeidarinejadMMirjaliliSGandomiAHMarine predators algorithm: A nature-inspired metaheuristicExpert Syst. Appl.202015211337711337710.1016/j.eswa.2020.113377 – reference: IRENA, F. World energy transitions outlook 2022: 1.5∘\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.5^{\circ }$$\end{document}c pathway. International Renewable Energy Agency (2022). – reference: Afzal AwanMMMahmoodTA novel ten check maximum power point tracking algorithm for a standalone solar photovoltaic systemElectronics201810.3390/electronics7110327 – reference: MohamedMAZaki DiabAARezkHPartial shading mitigation of pv systems via different meta-heuristic techniquesRenew. Energy20191301159117510.1016/j.renene.2018.08.077 – reference: RajeshKVenkatesanSA novel mppt controller based pemfc system for electric vehicle applications with interleaved sepic converterInt. J. Hydrogen Energy202348143911440510.1016/j.ijhydene.2022.12.284 – reference: BerkanASEnhanced marine predator algorithm for global optimization and engineering design problemsAdv. Eng. Softw.202318410.1016/j.advengsoft.2023.103517 – reference: Tizhoosh, H. Opposition-based learning: A new scheme for machine intelligence. International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC’06)1, 695–701, https://doi.org/10.1109/CIMCA.2005.1631345 (2005). – reference: KumarNHussainISinghBPanigrahiBKRapid mppt for uniformly and partial shaded pv system by using Jayade algorithm in highly fluctuating atmospheric conditionsIEEE Trans. Ind. Inf.2017132406241610.1109/TII.2017.2700327 – reference: BradaiRExperimental assessment of new fast mppt algorithm for pv systems under non-uniform irradiance conditionsAppl. Energy20171994164292017ApEn..199..416B10.1016/j.apenergy.2017.05.045 – reference: ShengqingLFujunLJianZWenCDonghuiZAn improved mppt control strategy based on incremental conductance methodSoft Comput.2020246039604610.1007/s00500-020-04723-z – reference: AhmedJSalamZA maximum power point tracking (mppt) for pv system using cuckoo search with partial shading capabilityAppl. Energy20141191181302014ApEn..119..118A10.1016/j.apenergy.2013.12.062 – reference: MirjaliliSLewisAThe whale optimization algorithmAdv. Eng. Softw.201695516710.1016/j.advengsoft.2016.01.008 – reference: MirjaliliSSca: A sine cosine algorithm for solving optimization problemsKnowl. Based Syst.20169612013310.1016/j.knosys.2015.12.022 – reference: OsmanMHRefaatAAdaptive multi-variable step size p &o mppt for high tracking-speed and accuracyIOP Conf. Ser. Mater. Sci. Eng.201964301205001205010.1088/1757-899X/643/1/012050 – reference: MirjaliliSMirjaliliSMHatamlouAMulti-verse optimizer: A nature-inspired algorithm for global optimizationNeural Comput. Appl.20162749551310.1007/s00521-015-1870-7 – reference: ShiyongZMuhammadSMuhammadAHJingGAbdulMHAdvanced optimizer for maximum power point tracking of photovoltaic systems in smart grid: A roadmap towards clean energy technologiesRenew. Energy20232061326133510.1016/j.renene.2023.01.023 – reference: RefaatAOsmanMHCurrent collector optimizer topology to improve maximum power from pv array under partial shading conditionsIOP Conf. Ser. Mater. Sci. Eng.201964310.1088/1757-899X/643/1/012094 – reference: PriyadarshiNBhaskarMSAlmakhlesDA novel hybrid whale optimization algorithm differential evolution algorithm-based maximum power point tracking employed wind energy conversion systems for water pumping applications: Practical realizationIEEE Trans. Ind. Electron.2024711641165210.1109/TIE.2023.3260345 – reference: PriyadarshiNMarotiPKKhanBAn adaptive grid integrated photovoltaic system with perturb t-s fuzzy based sliding mode controller mppt tracker: An experimental realizationIET Renew. Power Gen.202310.1049/rpg2.12738 – reference: AmirSWoascalf: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problemsAdv. Eng. Softw.202217310.1016/j.advengsoft.2022.103272 – reference: PriyadarshiNPadmanabanSHolm-NielsenJBBlaabjergFBhaskarMSAn experimental estimation of hybrid anfis-pso-based mppt for pv grid integration under fluctuating sun irradianceIEEE Syst. J.202014121812292020ISysJ..14.1218P10.1109/JSYST.2019.2949083 – reference: TeyKSImproved differential evolution-based mppt algorithm using sepic for pv systems under partial shading conditions and load variationIEEE Trans. Ind. Inf.2018144322433310.1109/TII.2018.2793210 – volume: 242 year: 2022 ident: 70811_CR36 publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2022.108320 – volume: 139 start-page: 213 year: 2016 ident: 70811_CR11 publication-title: Sol. Energy doi: 10.1016/j.solener.2016.09.027 – volume: 225 year: 2020 ident: 70811_CR27 publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2020.113409 – volume: 195 start-page: 116995 year: 2020 ident: 70811_CR2 publication-title: Energy doi: 10.1016/j.energy.2020.116995 – volume: 38 start-page: 1 year: 2020 ident: 70811_CR34 publication-title: J. Intell. Fuzzy Syst. – volume: 643 start-page: 012050 year: 2019 ident: 70811_CR8 publication-title: IOP Conf. Ser. Mater. Sci. Eng. doi: 10.1088/1757-899X/643/1/012050 – volume: 184 year: 2023 ident: 70811_CR39 publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2023.103517 – volume: 48 start-page: 14391 year: 2023 ident: 70811_CR43 publication-title: Int. J. Hydrogen Energy doi: 10.1016/j.ijhydene.2022.12.284 – volume: 268 year: 2023 ident: 70811_CR6 publication-title: Energy doi: 10.1016/j.energy.2023.126680 – volume: 643 year: 2019 ident: 70811_CR4 publication-title: IOP Conf. Ser. Mater. Sci. Eng. doi: 10.1088/1757-899X/643/1/012094 – volume: 229 year: 2021 ident: 70811_CR45 publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2021.107348 – volume: 69 start-page: 6409 year: 2023 ident: 70811_CR12 publication-title: IETE J. Res. doi: 10.1080/03772063.2021.1988874 – volume: 24 start-page: 6039 year: 2020 ident: 70811_CR10 publication-title: Soft Comput. doi: 10.1007/s00500-020-04723-z – volume: 16 start-page: 3149 year: 2022 ident: 70811_CR19 publication-title: IET Renew. Power Gen. doi: 10.1049/rpg2.12505 – volume: 119 start-page: 118 year: 2014 ident: 70811_CR31 publication-title: Appl. Energy doi: 10.1016/j.apenergy.2013.12.062 – volume: 75 start-page: 308 year: 2015 ident: 70811_CR28 publication-title: Renew. Energy doi: 10.1016/j.renene.2014.09.044 – volume: 96 start-page: 120 year: 2016 ident: 70811_CR50 publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2015.12.022 – volume: 55 start-page: 105 year: 2020 ident: 70811_CR24 publication-title: Energy Sustain. Dev. doi: 10.1016/j.esd.2020.01.007 – volume: 14 start-page: 4322 year: 2018 ident: 70811_CR41 publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2018.2793210 – volume: 14 start-page: 1218 year: 2020 ident: 70811_CR17 publication-title: IEEE Syst. J. doi: 10.1109/JSYST.2019.2949083 – volume: 95 start-page: 51 year: 2016 ident: 70811_CR33 publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.01.008 – volume: 156 year: 2021 ident: 70811_CR35 publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2021.107224 – volume: 206 start-page: 1326 year: 2023 ident: 70811_CR26 publication-title: Renew. Energy doi: 10.1016/j.renene.2023.01.023 – volume: 287 year: 2023 ident: 70811_CR7 publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2023.117124 – volume: 27 start-page: 495 year: 2016 ident: 70811_CR51 publication-title: Neural Comput. Appl. doi: 10.1007/s00521-015-1870-7 – ident: 70811_CR1 – volume: 86 start-page: 2695 year: 2012 ident: 70811_CR40 publication-title: Sol. Energy doi: 10.1016/j.solener.2012.06.004 – volume: 13 start-page: 1861 year: 2019 ident: 70811_CR18 publication-title: IEEE Syst. J. doi: 10.1109/JSYST.2018.2817584 – volume: 71 start-page: 1641 year: 2024 ident: 70811_CR22 publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2023.3260345 – year: 2022 ident: 70811_CR20 publication-title: IET Renew. Power Gen. doi: 10.1049/rpg2.12665 – volume: 230 year: 2021 ident: 70811_CR25 publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2020.113773 – ident: 70811_CR44 doi: 10.1109/CIMCA.2005.1631345 – volume: 13 start-page: 11650 year: 2021 ident: 70811_CR47 publication-title: Sustainability doi: 10.3390/su132111650 – volume: 152 start-page: 113377 year: 2020 ident: 70811_CR30 publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.113377 – year: 2018 ident: 70811_CR14 publication-title: Electronics doi: 10.3390/electronics7110327 – volume: 282 year: 2023 ident: 70811_CR37 publication-title: Energy doi: 10.1016/j.energy.2023.128901 – volume: 41 start-page: 118 year: 2022 ident: 70811_CR16 publication-title: Mehran Univ. Res. J. Eng. Technol. doi: 10.22581/muet1982.2204.12 – volume: 11 start-page: 100769 year: 2023 ident: 70811_CR42 publication-title: IEEE Access doi: 10.1109/ACCESS.2023.3315150 – volume: 279 year: 2023 ident: 70811_CR3 publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2023.116767 – volume: 132 start-page: 428 year: 2022 ident: 70811_CR23 publication-title: ISA Trans. – volume: 199 start-page: 416 year: 2017 ident: 70811_CR9 publication-title: Appl. Energy doi: 10.1016/j.apenergy.2017.05.045 – volume: 173 year: 2022 ident: 70811_CR48 publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2022.103272 – volume: 15 start-page: 3332 year: 2023 ident: 70811_CR13 publication-title: Sustainability doi: 10.3390/su15043332 – volume: 261 year: 2023 ident: 70811_CR38 publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2022.110192 – year: 2023 ident: 70811_CR21 publication-title: IET Renew. Power Gen. doi: 10.1049/rpg2.12738 – volume: 130 start-page: 1159 year: 2019 ident: 70811_CR29 publication-title: Renew. Energy doi: 10.1016/j.renene.2018.08.077 – volume: 15 start-page: 8043 year: 2022 ident: 70811_CR32 publication-title: Energies doi: 10.3390/en15218043 – volume: 283 year: 2023 ident: 70811_CR5 publication-title: Energy doi: 10.1016/j.energy.2023.129169 – volume: 128 year: 2023 ident: 70811_CR46 publication-title: Comput. Secur. doi: 10.1016/j.cose.2023.103155 – volume: 13 start-page: 2406 year: 2017 ident: 70811_CR15 publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2017.2700327 – volume: 158 start-page: 1006 year: 2017 ident: 70811_CR49 publication-title: Sol. Energy doi: 10.1016/j.solener.2017.10.027 |
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| Snippet | In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in output... Abstract In practical engineering applications, factors like dust adhesion and environmental changes can cause photovoltaic arrays to exhibit multiple peaks in... |
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| SubjectTerms | 639/166 639/4077 Algorithms Complex solar irradiation conditions Control systems Environmental changes Humanities and Social Sciences Irradiation MPA MPPT multidisciplinary Photovoltaics Science Science (multidisciplinary) Solar radiation Zeta converter |
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| Title | MPPT control of photovoltaic array based on improved marine predator algorithm under complex solar irradiance conditions |
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