Comparative study of modern heuristic algorithms for global maximum power point tracking in photovoltaic systems under partial shading conditions

Wang, Kangshi, Ma, Jieming, Man, Ka Lok, Huang, Kaizhu and Huang, Xiaowei ORCID: 0000-0001-6267-0366 (2022) Comparative study of modern heuristic algorithms for global maximum power point tracking in photovoltaic systems under partial shading conditions. FRONTIERS IN ENERGY RESEARCH, 10. 946864-.

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Official URL: http://dx.doi.org/10.3389/fenrg.2022.946864

Abstract

<jats:p>Under partial shading conditions (PSCs), photovoltaic (PV) generation systems exhibit multiple local and a single global maximum power point. Consequently, global maximum power point tracking (GMPPT) is required to improve the performance of PV systems in such scenarios. This paper comparatively studies and evaluates the tracking performance of modern heuristic-optimization-based GMPPT techniques. Monte Carlo method is used to statistically analyze different methods. Simulation and experimental results indicate that many of the algorithms have difficulties in balancing the explorative and exploitative searching behaviors. Therefore, we propose a variable vortex search (VVS), which is capable of improving the performance of GMPPT by using a variable step size and deterministic starting points. This paper will aid researchers and practical engineers to gain a thorough understanding on how to use modern heuristic algorithms for maximum power out of PV systems. Furthermore, it offers a comprehensive guidance on how to perform efficiently GMPPT in the PV systems under PSCs.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	maximum power point tracking (MPPT), partial shading condition (PSC), heuristic optimization, solar PV (SPV) systems, vortex search (VS.) algorithm, global maximum power point (GMPP) tracking
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	25 Sep 2023 14:26
Last Modified:	14 Mar 2024 17:50
DOI:	10.3389/fenrg.2022.946864
Open Access URL:	https://doi.org/10.3389/fenrg.2022.946864
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3173028