Parameter estimation of photovoltaic module relied on golden jackal optimization
Due to the nonlinear current-voltage (I-V) relationship of the photovoltaic (PV) module, building a precise mathematical model of the PV module is necessary for evaluating and optimizing the PV systems. This paper proposes a method of building PV parameter estimation models based on golden jackal op...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2023-12-01
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| Series: | Archives of Electrical Engineering |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/129536/PDF/art08_int.pdf |
| _version_ | 1797401453906624512 |
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| author | Thuan Thanh Nguyen |
| author_facet | Thuan Thanh Nguyen |
| author_sort | Thuan Thanh Nguyen |
| collection | DOAJ |
| description | Due to the nonlinear current-voltage (I-V) relationship of the photovoltaic (PV) module, building a precise mathematical model of the PV module is necessary for evaluating and optimizing the PV systems. This paper proposes a method of building PV parameter estimation models based on golden jackal optimization (GJO). GJO is a recently developed algorithm inspired by the idea of the hunting behavior of golden jackals. The explored and exploited searching strategies of GJO are built based on searching for prey as well as harassing and grabbing prey of golden jackals. The performance of GJO is considered on the commercial KC200GT module under various levels of irradiance and temperature. Its performance is compared to well-known particle swarm optimization (PSO), recent Henry gas solubility optimization (HGSO) and some previous methods. The obtained results show that GJO can estimate unknown PV parameters with high precision. Furthermore, GJO can also provide better efficiency than PSO and HGSO in terms of statistical results over several runs. Thus, GJO can be a reliable algorithm for the PV parameter estimation problem under different environmental conditions. |
| first_indexed | 2024-03-09T02:10:18Z |
| format | Article |
| id | doaj.art-f172723e45b14a17a67f05f5d0aa8a6c |
| institution | Directory Open Access Journal |
| issn | 2300-2506 |
| language | English |
| last_indexed | 2024-03-09T02:10:18Z |
| publishDate | 2023-12-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Electrical Engineering |
| spelling | doaj.art-f172723e45b14a17a67f05f5d0aa8a6c2023-12-07T14:12:01ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062023-12-01vol. 72No 49871003https://doi.org/10.24425/aee.2023.147422Parameter estimation of photovoltaic module relied on golden jackal optimizationThuan Thanh Nguyen0https://orcid.org/0000-0002-6351-475XFaculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, No. 12 Nguyen Van Bao, Ward 4, Go Vap District, Ho Chi Minh City, VietnamDue to the nonlinear current-voltage (I-V) relationship of the photovoltaic (PV) module, building a precise mathematical model of the PV module is necessary for evaluating and optimizing the PV systems. This paper proposes a method of building PV parameter estimation models based on golden jackal optimization (GJO). GJO is a recently developed algorithm inspired by the idea of the hunting behavior of golden jackals. The explored and exploited searching strategies of GJO are built based on searching for prey as well as harassing and grabbing prey of golden jackals. The performance of GJO is considered on the commercial KC200GT module under various levels of irradiance and temperature. Its performance is compared to well-known particle swarm optimization (PSO), recent Henry gas solubility optimization (HGSO) and some previous methods. The obtained results show that GJO can estimate unknown PV parameters with high precision. Furthermore, GJO can also provide better efficiency than PSO and HGSO in terms of statistical results over several runs. Thus, GJO can be a reliable algorithm for the PV parameter estimation problem under different environmental conditions.https://journals.pan.pl/Content/129536/PDF/art08_int.pdfgolden jackal optimizationhenry gas solubility optimizationparticle swarm optimizationpv parameter estimationsingle diode model |
| spellingShingle | Thuan Thanh Nguyen Parameter estimation of photovoltaic module relied on golden jackal optimization Archives of Electrical Engineering golden jackal optimization henry gas solubility optimization particle swarm optimization pv parameter estimation single diode model |
| title | Parameter estimation of photovoltaic module relied on golden jackal optimization |
| title_full | Parameter estimation of photovoltaic module relied on golden jackal optimization |
| title_fullStr | Parameter estimation of photovoltaic module relied on golden jackal optimization |
| title_full_unstemmed | Parameter estimation of photovoltaic module relied on golden jackal optimization |
| title_short | Parameter estimation of photovoltaic module relied on golden jackal optimization |
| title_sort | parameter estimation of photovoltaic module relied on golden jackal optimization |
| topic | golden jackal optimization henry gas solubility optimization particle swarm optimization pv parameter estimation single diode model |
| url | https://journals.pan.pl/Content/129536/PDF/art08_int.pdf |
| work_keys_str_mv | AT thuanthanhnguyen parameterestimationofphotovoltaicmodulereliedongoldenjackaloptimization |