Salp Swarm Optimization Algorithm for Estimating the Parameters of Photovoltaic Panels Based on the Three-Diode Model

Electronics

Jhon Montano¹  Andres Felipe Tobon Mejia¹  Fabio Andrade²  Oscar D. Garzon Rivera²  José Mena Palomeque³  Andrés Alfonso Rosales Muñoz⁴ 

[1] Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050028, Colombia;Electrical and Computer Engineering Department, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA;Facultad de Ingeniería y Ciencias Agropecuarias, Institución Universitaria Digital de Antioquia, Medellín 050028, Colombia;Grupo MATyER, Facultad de Ingeniería, Instituto Tecnológico Metropolitano, Campus Robledo, Medellín 050036, Colombia;

关键词: three-diode model;    solar energy;    optimization methods;    PV power systems;    power system modeling;    salp swarm optimization;   

DOI  :  10.3390/electronics10243123

来源: DOAJ

【 摘 要 】

Due to the the lack of information about parameters in the datasheets of photovoltaic (PV) panels, it is difficult to study their modeling because PV behavior is based on voltage–current (V-I) data, which present a highly nonlinear relationship. To solve this difficulty, this study presents a mathematical three-diode model of a PV panel that includes multiple unknown parameters: photoinduced current, saturation currents of the three diodes, three ideality factors, serial resistance, and parallel resistance. These parameters should be estimated in the three-diode model of a PV panel to obtain the actual values that represent the voltage–current profile or the voltage–power profile (because of its visual simplicity) of the PV panel under analysis. In order to solve this problem, this paper proposes a new application of the salp swarm algorithm (SSA) to estimate the parameters of a three-diode model of a PV panel. Two test scenarios were implemented with two different PV panels, i.e., Kyocera $KC200GT$ and Solarex $MSX60$, which generate different power levels and are widely used for commercial purposes. The results of the simulations were obtained using different irradiance levels. The proposed PV model was evaluated based on the experimental results of the PV modules analyzed in this paper. The efficiency of the optimization technique proposed here, i.e., SSA, was measured by a fair comparison between its numerical results and those of other optimization techniques tuned to obtain the best response in terms of the objective function.

【 授权许可】

Unknown