Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions

Ezhilmaran Ranganathan and Rajasekar Natarajan
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Ezhilmaran Ranganathan: Solar Energy Research Cell (SERC), School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamilnadu, India
Rajasekar Natarajan: Solar Energy Research Cell (SERC), School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamilnadu, India

Energies, 2022, vol. 15, issue 8, 1-26

Abstract: Maximum power-point-tracking techniques applied for partially shaded photovoltaic array yield maximum power output via operating the panel at its most efficient voltage. Considering the noticeable issues existing with the available methods, including steady-state oscillations, poor tracking capability and complex procedures, a new bioinspired Spotted-Hyena Optimizer (SHO) is proposed. It follows simple implementation steps, and does not require additional controller-parameter tuning to track the optimal power point. To validate the versatility of the proposed method, the SHO algorithm is applied to track the maximum power of different string arrangements under six partial-shade conditions. Further, to authenticate SHO’s methods, its results are compared with perturb-and-observe (P&O), and particle-swarm-optimization (PSO) methods. As a result of its implementation, it is observed that the tracking speed of SHO towards the global convergence for four patterns under 4S2P are 0.34 s, 0.24 s, 0.2 s, and 0.3 s, which is far less than the PSO and P&O methods. Further, to demonstrate its suitability, a hardware prototype is built and tested for various operating conditions. The experimental results are in good agreement with the simulated values.

Keywords: maximum power point tracking (MPPT); optimization; partial shading; perturb-and-observe algorithm (P&O); photovoltaic (PV) array; solar energy (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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