This research analyzes the optimization of a hydro plant, wind turbines, and photovoltaic (PV) panels with a careful examination of three scenarios in the Hinnoya region, Norway.
In this research work, the parameters of solar PV panel are identified for the first time, as far as the authors know, using hybrid particle swarm optimization (PSO) and grey wolf optimizer (WGO) based
This study presents an Improved Grey Wolf Optimization (IGWO) algorithm for accurately extracting parameters of polycrystalline and mono crystalline solar PV panels using the double diode
This paper presents a novel methodology for the optimal sizing of solar photovoltaic (PV) systems in distribution networks by determining the monthly optimum tilt and azimuth angles to maximize solar
In this study, a modified gray wolf optimization algorithm (GWOA) was proposed to facilitate the maximum power point tracking (MPPT) of photovoltaic module arrays (PMAs).
This paper proposes more advanced edition of Grey Wolf Optimizer (GWO) called Improved Grey Wolf Optimizer (IGWO) is used for solar cell parameter extraction of multi crystalline models S75, STP245
The experimental platform comprised a 3.96 kWp photovoltaic array configured as three parallel strings of four series-connected monocrystalline panels, with programmable DC-DC converter enabling
This research proposes a novel grey wolf optimization algorithm (GWO) to optimize the operation of PV-BESS systems under partial shading conditions. The GWO, inspired by the hunting
This paper gives the realization of the Grey Wolf Optimization (GWO) method for the design of maximum power extraction techniques incorporated in the solar photovoltaic system to
This study proposes two innovative Maximum Power Point Tracking (MPPT) algorithms based on the Whale Optimization Algorithm (WOA) and Grey Wolf Optimization (GWO).
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