Abstract
This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.
Highlights
Day by day, due to the exponential advancement in the demand of electrical energy, the dependency on fossil-fuels-based power plants has increased gradually, thereby, the cost of unit power generation is increasing [1]
The solar power generation is trending globally, where the statistics of major share are shown in Figure 1, International Renewable Energy Agency (IRENA), March 2021 [4]
The objective of the MPPT technique is to maximize the amount of power drawn from the solar photovoltaic system by adjusting the duty cycles of the DC-DC boost converter
Summary
Due to the exponential advancement in the demand of electrical energy, the dependency on fossil-fuels-based power plants has increased gradually, thereby, the cost of unit power generation is increasing [1]. Energies 2021, 14, 4086 focused on the PSO algorithm for MPP tracking at various irradiation levels, and they found that the PSO technique provides more output under changing environmental conditions than the P&O method from their simulation results. The standalone PSO and GWO techniques are quite successful in achieving efficient MPP tracking performance It has been noted from various literature studies that PSO, GWO and some of its variants facing the problem of stuck in local peak remains to persist under shading conditions by the works of [22,23,24,25]. The present research work explores the optimization method ChOA, which determines the suitable duty cycle supplied for boost converter to achieve maximum energy from the solar PV system. (ii) Blocking, and (iii) Chasing the prey; second, the exploitation stage consists of striking the prey
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