Abstract
Photovoltaic (PV) systems-based energy generation is relatively easy to install, even at a large scale, because it is scalable in size and is thus easy to transport. Harnessing maximum power is only possible if maximum power tracking (MPPT) functionality is available as part of the power converter control that interfaces the PV panels to the grid. Solar exposure covering all PV panels is unlikely to happen all the time, which is known as a partial shading (PS) phenomenon. As a result, depending on the MPPT algorithm adopted, it may fail to find a maximum global power peak, being locked into a local power peak. This research work discusses an alternative MPPT control technique inspired in the social group optimization (SGO) algorithm. SGO belongs to the meta-heuristic optimization techniques family. In this sense, the SGO method ability for solving global optimization problems is explored to find the global maximum power point (GMPP) under the presence of local MPPs. The introduced SGO–MPPT was subjected to different PS conditions and complex shading patterns. Then, its performance was compared to other global search MPPT techniques, which include particle swarm optimization (PSO), the dragon fly algorithm (DFO) and the artificial bee colony algorithm (ABC). The simulation outcomes for the SGO–MPPT characterization showed good results, namely rapid global power tracking in less than 0.2 s with reduced oscillation; the efficiency of solar energy harness was slightly above 99%.
Highlights
Introduction published maps and institutional affilThe rate of deployment of new PV power plants has not decelerated over the last few years
maximum power point tracking (MPPT) strategies based on particle swarm optimization (PSO), particle swarm optimization gravitation search (PSOGS), artificial bee colony algorithm (ABC) and dragon fly algorithm (DFO) optimization algorithms served as the basis for measuring social group optimization (SGO)–MPPT
This research work has presented an MPPT concept by adopting the SGO algorithm, which emulated individual human performance when they work as a team and prevailed in successfully tracking the global power peak among the other local peaks in a shaded PV
Summary
An ideal PV cell is represented by a current source in parallel to a PN junction, with its anode connected to the positive terminal of the current source [28]. The photoelectric effect is modelled with a current source Iph. The leakage current takes two paths: one through a PN junction called Id and the other through a parallel resistor Rsh designated as Ish. The series resistor Rs takes into account cell internal power dissipation. The leakage current account temperature in kelvin, η is the ideality factor. I isof expressed as: cells connected in series and parallel. −23pvJ/K), T takes into account cell tem− C), kb is the Boltzmann constant Any practical evaluation in a simulation scenario requires a more complete circuit to reproduce a solar panel I–V curve, normally made up of parallel strings of cells.
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