Earthquake Algorithm-Based Voltage Referenced MPPT Implementation through a Standardized Validation Frame

Alexandro Ortiz (), Efrain Mendez, Israel Macias and Arturo Molina
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Alexandro Ortiz: School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico
Efrain Mendez: School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico
Israel Macias: School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico
Arturo Molina: Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Mexico City 14380, Mexico

Energies, 2022, vol. 15, issue 23, 1-24

Abstract: This paper presents a new direct maximum power point tracking (MPPT) with a reference voltage ( V r e f ) based on the metaheuristic earthquake algorithm (EA) where the optimization variable is the V r e f for hard-switching converters. The efficiency and performance of EA-MPPT- V r e f is compared with the perturb-and-observe (P&O) counterpart technique due to the fact that it is widely used for commercial products. Static and dynamic responses for both MPPT strategies are evaluated, which correspond to steady-state oscillations when they are near the maximum power point (MPP), and the tracking-speed, respectively. The efficiency was evaluated with the EN 50530 standard. The results show that the new MPPT proposed is a competitive method using the EA to obtain the optimal voltage reference. From static results, EA-MPPT VP presented a better efficiency of 5.13% and 3.23% for European and California energy commission (CEC) efficiency, respectively. Whereas, from dynamic results, MPPT- V r e f techniques presented an efficiency from 95.13% to 99.91%, and 99.01% to 99.91% of the total power of the PV system for P&O and EA strategies, respectively.

Keywords: MPPT; FPGA; DC-DC converter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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