A new metaheuristic-based MPPT controller for photovoltaic systems under partial shading conditions and complex partial shading conditions

Kishore, Dokala Janandra Krishna and Mohd Rusllim, Mohamed and Sudhakar, K. and Peddakapu, K. (2024) A new metaheuristic-based MPPT controller for photovoltaic systems under partial shading conditions and complex partial shading conditions. Neural Computing and Applications, 36 (12). 6613 -6627. ISSN 0941-0643. (Published)

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Abstract

Solar photovoltaic energy is the potential energy in the universe for generating electricity and meeting the required load demand. However, on account of partial shading conditions, the difficult task in the PV system is to track global maxima instead of local maxima and maintain the uninterrupted power supply. To solve this problem, a new metaheuristic algorithm is introduced in this paper such as a heap-based optimizer (HBO). The proposed method is developed in MATLAB/Simulink software. The system is examined under distinct irradiation conditions and compared their performance with other methods. The simulation results reveal that the suggested HBO shows a reliable enhancement as compared to other studied methods with regard to tracking maximum power, convergence time, and settling time. The extracted power efficiencies are 99.85% for case 1, 99.96% for case 2, and 99.92% for case 3. It is found that HBO shows better enrichment than other studied methods.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	HBO; Maximum peak power; MPSO; Partial shading conditions; Solar photovoltaic
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	20 May 2024 08:29
Last Modified:	20 May 2024 08:29
URI:	http://umpir.ump.edu.my/id/eprint/41319
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