A Soft Computing Intelligent Control Algorithm to Extract Maximum Energy from Solar Panel-Reference-Cited by-同舟云学术

A Soft Computing Intelligent Control Algorithm to Extract Maximum Energy from Solar Panel

Published:2023-06-01 Issue:3 Volume:8 Page:464-476
ISSN:2455-7749
Container-title:International Journal of Mathematical, Engineering and Management Sciences
language:en
Short-container-title:Int. j. math. eng. manag. sci.

Author:

Hasan Mashhood¹

Affiliation:

1. Department of Electrical Engineering Technology, College of Applied Industrial Technology (CAIT), Jazan University, Jazan, Kingdom of Saudi Arabia.

Abstract

Utilizing soft computing, a maximum power point tracking (maximum PPT) control algorithm is developed, and its performance is compared to that of more traditional Lead Acid battery charging methods such as incremental conductance technique-based maximum PPT. Since the power vs voltage graph of a photovoltaic (PV) cell is nonlinear, a suitable control method seeks to obtain the highest power under dynamic conditions. In order to construct a PV cell with the maximum PPT, a fuzzy logic control approach known as soft computing is used. The cell active energy is used to charge the lead acid battery. A fuzzy logic compares its performance with the incremental conductance technique under dynamic conditions. Moreover, dc to dc converter is required to maintain constant output voltage to charge the battery under low level voltage. A zeta converter is taken to maintain output voltage under various insolation. The significance of algorithm is demonstrated by MATLAB Simulation results and hardware results.

Publisher

Ram Arti Publishers

Subject

General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science

Reference21 articles.

1. Ahmadi, S.H.S., Karami, M., Gholami, M., & Mirzaei, R. (2022). Improving MPPT performance in PV systems based on integrating the incremental conductance and particle swarm optimization methods. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 46, 27-39. https://doi.org/10.1007/s40998-021-00459-0.

2. Ahmed, A., Ran, L., & Bumby, J. (2012). Perturbation parameters design for hill climbing MPPT techniques. In 2012 IEEE International Symposium on Industrial Electronics (pp. 1819-1824). IEEE. Hangzhou, China.

3. Aranda, E.D., Litrán, S.P., & Prieto, M.B.F. (2022). Combination of interleaved single-input multiple-output DC-DC converters. CSEE Journal of Power and Energy Systems, 8(1), 132-142.

4. Chalh, A., El Hammoumi, A., Motahhir, S., Ghzizal, A.E., & Derouich, A. (2021). Development of an improved GMPPT based on scanning method for PV system operating under a dynamic partial shading conditions. Technology and Economics of Smart Grids and Sustainable Energy, 6(1), 19. https://doi.org/10.1007/s40866-021-00118-7.

5. Chen, P.C., Chen, P.Y., Liu, Y.H., Chen, J.H., & Luo, Y.F. (2015). A comparative study on maximum power point tracking techniques for photovoltaic generation systems operating under fast changing environments. Solar Energy, 119, 261-276.

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