Application of circle search algorithm for solar PV maximum power point tracking under complex partial shading conditions

Kishore, D. J. Krishna and Mohd Rusllim, Mohamed and Sudhakar, K. and Peddakapu, K. (2024) Application of circle search algorithm for solar PV maximum power point tracking under complex partial shading conditions. Applied Soft Computing, 165 (112030). pp. 1-13. ISSN 1568-4946 (print); 1872-9681 (online). (Published)

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DOI/Official URL: https://doi.org/10.1016/j.asoc.2024.112030

Abstract

Solar photovoltaic (SPV) energy exhibits a potential role in the world for generating electricity and avoiding the block out in the power system. However, the hardest task in the PV system is to track the global maxima power (GPP) instead of local peak power (LPP) under partial shading conditions (PSC). To track the GPP, a new circle search algorithm (CSA) is implemented in this paper and is executed in MATLAB/SIMULINK environment. This method is examined at various irradiation conditions and compared their performance with other studied methods in terms of tracking time, settling time and efficiency. The simulation outcome of the CSA method efficiencies 99.96 % in case 1, 99.74 % in case 2, and 99.94 % in case 3. For checking the robustness and stability of the system statistical analysis was done on the proposed methods. It is found that the suggested method exhibits higher performance than the other methods.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Circle search algorithm (CSA); Partial Shading Condition (PSC); Particle Swarm Optimization (PSO); Salp Swarm Optimization (SSA); Solar photovoltaic (SPV)
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Centre for Advanced Industrial Technology Faculty of Electrical and Electronic Engineering Technology Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	16 Aug 2024 08:00
Last Modified:	16 Aug 2024 08:00
URI:	http://umpir.ump.edu.my/id/eprint/42381
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