{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T23:23:55Z","timestamp":1776381835369,"version":"3.51.2"},"reference-count":36,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,8,5]],"date-time":"2023-08-05T00:00:00Z","timestamp":1691193600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Poznan University of Technology","award":["0212\/SBAD\/0594"],"award-info":[{"award-number":["0212\/SBAD\/0594"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Partial shading conditions lead to power mismatches among photovoltaic (PV) panels, resulting in the generation of multiple peak power points on the P-V curve. At this point, conventional MPPT algorithms fail to operate effectively. This research work mainly focuses on the exploration of performance optimization and harnessing more power during the partial shading environment of solar PV systems with a single-objective non-linear optimization problem subjected to different operations formulated and solved using recent metaheuristic algorithms such as Cat Swarm Optimization (CSO), Grey Wolf Optimization (GWO) and the proposed Chimp Optimization algorithm (ChOA). This research work is implemented on a test system with the help of MATLAB\/SIMULINK, and the obtained results are discussed. From the overall results, the metaheuristic methods used by the trackers based on their analysis showed convergence towards the global Maximum Power Point (MPP). Additionally, the proposed ChOA technique shows improved performance over other existing algorithms.<\/jats:p>","DOI":"10.3390\/a16080376","type":"journal-article","created":{"date-parts":[[2023,8,5]],"date-time":"2023-08-05T10:25:36Z","timestamp":1691231136000},"page":"376","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Comparison of Meta-Heuristic Optimization Algorithms for Global Maximum Power Point Tracking of Partially Shaded Solar Photovoltaic Systems"],"prefix":"10.3390","volume":"16","author":[{"given":"Timmidi","family":"Nagadurga","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram 521230, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4246-7728","authenticated-orcid":false,"given":"Ramesh","family":"Devarapalli","sequence":"additional","affiliation":[{"name":"Department of Electrical\/Electronics and Instrumentation Engineering, Institute of Chemical Technology, Indianoil Odisha Campus, Bhubaneswar 751013, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5741-9548","authenticated-orcid":false,"given":"\u0141ukasz","family":"Knypi\u0144ski","sequence":"additional","affiliation":[{"name":"Institute of Electrical Engineering and Electronics, Poznan University of Technology, 60-965 Poznan, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,5]]},"reference":[{"key":"ref_1","unstructured":"(2021, March 01). 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