Performance Analysis of IC MPPT Algorithm for Applications of Solar PV in DC Microgrid
Solar Photovoltaic (PV) is an emerging source of energy and playing an important role in electrical power system. The I–V and PV characteristics of solar PV system are non-linear in nature, thereby it is difficult to extract the maximum power. The maximum power is extracted with the help of Maximum...
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| Published in | SN computer science Vol. 4; no. 5; p. 579 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Singapore
Springer Nature Singapore
01.09.2023
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2661-8907 2662-995X 2661-8907 |
| DOI | 10.1007/s42979-023-02022-6 |
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| Abstract | Solar Photovoltaic (PV) is an emerging source of energy and playing an important role in electrical power system. The I–V and PV characteristics of solar PV system are non-linear in nature, thereby it is difficult to extract the maximum power. The maximum power is extracted with the help of Maximum Power Point Tracking (MPPT) algorithms. In this paper, an algorithm for MPPT for the application of Solar PV in DC Microgrid (DCMG) based on the concept of Incremental Conductance (IC) has been implemented and studied. The assessment has been done by taking the consideration on I–V curve that exhibits the shifting of maximum power operating point (MPOP) on the I–V curve has been done by varying the duty ratio (DR). The comparative analysis has been done between the implemented IC algorithm and widely adapted algorithm of Perturb and observe (P&O) by considering varying irradiance conditions to validate the implemented algorithm of IC is best suited for DCMG application to provide quality electrical power supply. A stand-alone PV system is simulated in MATLAB R2021b Simulink platform with a DC–DC boost converter (DDBC), and an algorithm for both MPPT based on IC and P&O has been implemented to check the performance. The obtained results after simulation clearly exhibit the supremacy of the IC algorithm of MPPT of PV system, which can be used for quality performance to supply electrical power to DCMGs. |
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| AbstractList | Solar Photovoltaic (PV) is an emerging source of energy and playing an important role in electrical power system. The I–V and PV characteristics of solar PV system are non-linear in nature, thereby it is difficult to extract the maximum power. The maximum power is extracted with the help of Maximum Power Point Tracking (MPPT) algorithms. In this paper, an algorithm for MPPT for the application of Solar PV in DC Microgrid (DCMG) based on the concept of Incremental Conductance (IC) has been implemented and studied. The assessment has been done by taking the consideration on I–V curve that exhibits the shifting of maximum power operating point (MPOP) on the I–V curve has been done by varying the duty ratio (DR). The comparative analysis has been done between the implemented IC algorithm and widely adapted algorithm of Perturb and observe (P&O) by considering varying irradiance conditions to validate the implemented algorithm of IC is best suited for DCMG application to provide quality electrical power supply. A stand-alone PV system is simulated in MATLAB R2021b Simulink platform with a DC–DC boost converter (DDBC), and an algorithm for both MPPT based on IC and P&O has been implemented to check the performance. The obtained results after simulation clearly exhibit the supremacy of the IC algorithm of MPPT of PV system, which can be used for quality performance to supply electrical power to DCMGs. |
| ArticleNumber | 579 |
| Author | Kumar, Kunal Kumar, Prince Bohre, Aashish Kumar |
| Author_xml | – sequence: 1 givenname: Kunal surname: Kumar fullname: Kumar, Kunal organization: Electrical Engineering Department, NIT Rourkela – sequence: 2 givenname: Prince orcidid: 0000-0002-2735-3143 surname: Kumar fullname: Kumar, Prince email: princemuz95@gmail.com organization: Electrical Engineering Department, NIT Silchar – sequence: 3 givenname: Aashish Kumar surname: Bohre fullname: Bohre, Aashish Kumar organization: Electrical Engineering Department, NIT Durgapur |
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| CitedBy_id | crossref_primary_10_1016_j_isatra_2024_07_037 crossref_primary_10_1016_j_epsr_2023_109969 crossref_primary_10_1016_j_ref_2024_100572 |
| Cites_doi | 10.1117/1.JPE.10.042004 10.35833/MPCE.2022.000053 10.1109/MIE.2010.935861 10.1109/TEC.2006.874230 10.1109/POWERI.2014.7117713 10.1109/GPECOM55404.2022.9815606 10.1109/COBEP.2009.5347680 10.1109/IEEEGCC.2017.8448164 10.1109/ICRAIE.2018.8710412 10.1109/TSTE.2018.2834415 10.1109/ENERGYCon48941.2020.9236562 10.1109/ICCEP.2011.6036361 10.1109/GPECOM55404.2022.9815738 10.1109/ICCCI.2018.8441324 10.1109/IEEECONF48524.2019.9102532 10.1109/iSSSC50941.2020.9358816 |
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| Copyright | The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| References | Liserre, Sauter, Hung (CR3) 2010; 4 Mohan, Undeland (CR15) 2007 CR2 CR6 Mahto, Sharma, Xavier, Raghavan (CR1) 2020 CR8 CR19 CR7 CR18 CR17 CR9 CR16 Femia, Petrone, Spagnuolo, Vitelli (CR5) 2012 CR13 CR12 Jithin, Haridev, Mayadevi, Kumar, Mini (CR14) 2022 CR11 CR10 Esram, Chapman (CR4) 2007; 22 2022_CR6 2022_CR19 M Liserre (2022_CR3) 2010; 4 2022_CR7 2022_CR2 2022_CR13 2022_CR11 K Jithin (2022_CR14) 2022 N Mohan (2022_CR15) 2007 2022_CR12 T Esram (2022_CR4) 2007; 22 2022_CR8 2022_CR17 2022_CR9 2022_CR18 2022_CR16 RV Mahto (2022_CR1) 2020 2022_CR10 N Femia (2022_CR5) 2012 |
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| SubjectTerms | Algorithms Alternative energy sources Computer Imaging Computer Science Computer Systems Organization and Communication Networks Control algorithms Data Structures and Information Theory Distributed generation Electric power supplies Electric power systems Enabling Innovative Computational Intelligence Technologies for IOT Energy sources Incremental conductance Information Systems and Communication Service Irradiance Maximum power tracking Original Research Pattern Recognition and Graphics Performance evaluation Photovoltaic cells Power plants Power supply Software Engineering/Programming and Operating Systems Systems design Vision |
| Title | Performance Analysis of IC MPPT Algorithm for Applications of Solar PV in DC Microgrid |
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