Parameter Estimation of Photovoltaic Cell using Transit Search Optimizer
Received: 23 January 2024 | Revised: 17 February 2024, 7 March 2024, and 17 March 2024 | Accepted: 24 March 2024 | Online: 1 June 2024
Corresponding author: Hady El Said Abdel Maksoud
Abstract
In the evaluation of a Photovoltaic (PV) system's performance, precise calculation of the system's parameters is essential, as these parameters significantly influence its efficiency across various sunlight intensities, temperature ranges, and distinct load conditions. Addressing the intricate non-linear optimization problem of pinpointing these PV system parameters, the current research adopts a novel metaheuristic optimization approach, called Transit Search (TS). The proposed technique was rigorously tested on a monocrystalline solar panel, which included both single and double-diode model structures. The design of the objective function within this framework aims to diminish the square root of the average squared discrepancies between theoretical and measured current outputs, while remaining within the established parameter bounds. The proficiency of the TS algorithm was highlighted by employing a variety of statistical error indicators, underlining the latter’s effectiveness. When pitted against other established optimization algorithms through comparative analysis, TS demonstrated outstanding capabilities, evidently outperforming its contemporaries in the accurate determination of PV system parameters.
Keywords:
parameter extraction, PV cells, modeling, TS algorithm, optimizationDownloads
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