Abstract

The vibrant, noiseless, and low-maintenance characteristics of photovoltaic (PV) systems make them one of the fast-growing technologies in the modern era. This on-demand source of energy suffers from low-output efficiency compared with other alternatives. Given that PV systems must be installed in outdoor spaces, their efficiency is significantly affected by the inevitable complication called partial shading (PS). Partial shading occurs when different sections of the solar array are subjected to different levels of solar irradiance, which then leads to a multiple-peak function in the output characteristics of the system. Conventional tracking techniques, along with some nascent/novel approaches used for the tracking maximum power point (MPP), are unsatisfactory when subjected to PS, eventually leading to the reduced efficiency of the PV system. This study aims at investigating the use of the bat algorithm (BA), a nature-inspired metaheuristic algorithm for MPP tracking (MPPT) subjected to PS conditions. A brief explanation of the behavior of the PV system under the PS condition and the advantages of using BA for estimating the MPPT of the PV system under PS condition is discussed. The deployment of the BA for the MPPT in PV systems is then explained in detail highlighting the simulation results which verifies whether the proposed method is faster, more efficient, sustainable and more reliable than conventional and other soft computing-based methods. Three testing conditions are considered in the simulation, and the results indicate that the proposed technique has high efficiency and reliability even when subjected to an acute shading condition.

Highlights

  • The extensive exploitation of solar irradiation in urban zones has become an essential and practical strategy for fostering sustainable development

  • In the second partial shading (PS) condition, which refers to a moderate condition, the global maximum power point (GMPP) is the last peak in the multiple peak characteristics at the output of the affected PV system

  • This study uses a fast-converging bat algorithm (BA) to track the GMPP for a PV array subjected to PS conditions

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Summary

Introduction

The extensive exploitation of solar irradiation in urban zones has become an essential and practical strategy for fostering sustainable development. The buildings induce different shading patterns on one another. Advanced methods for studying solar penetration into different urban textures are needed. Previous and current tools used for monitoring solar penetration in urban landscapes are mainly aimed toward preserving the direct solar irradiation of buildings. Planners currently face many challenges, such as increased levels of energy demand, ongoing global warming impacts, environmental degradation, and drastic changes in the pattern of the power generation and distribution within the city. Sustainable development mainly focuses on fostering global solar irradiation and global illuminance reaching the building envelopes (e.g., facades and roofs) in order to accurately quantify the zoning potential for maximized photovoltaic (PV) electricity production. PV energy systems should be utilized and integrated into power systems which can be simulated under shading conditions to avoid such contradictions

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