Investigations and Development of Improved Intelligent Optimization Based Maximum Power Point Tracking for Grid Connected System

Abstract

The human activities contribute to the global warming of the planet. As newlinea result, every country strives to reduce carbon emissions. The world is facing newlinenot only the depletion of fossil fuels, but also, it s rising prices which cause newlineworldwide economic instability. Numbers of efforts are being undertaken by newlineGovernments around the world to explore alternative energy sources and to newlineachieve pollution reduction. Solar electric or photovoltaic technology is one of newlinethe biggest renewable energy resources to generate electrical power and the newlinefastest growing power generation in the world. The main aim of this work is to newlineanalyze the interface of the photovoltaic system to the load, the power newlineelectronics and the method to track the maximum power point (MPP) of the newlinesolar panel. newlineAs individuals are abundantly worried about the non-renewable energy newlinesource depletion and the ecological issues caused by conventional power newlinegeneration, renewable power sources and among them photovoltaic boards and newlinewind generators are presently broadly utilized. Photovoltaic sources are utilized newlinetoday in numerous applications, for example, battery charging; water pumping, newlinehome power supply, swimming-pool heating frameworks, and satellite power newlineframeworks, and so on. They have the benefit of being support and newlinecontamination-free however their establishment cost is high and, in many newlineapplications; they require a power conditioner (DC-DC or DC-AC conditioning newlineconverter) for load interface. Following the maximum power point (MPP) of a newlinephotovoltaic (PV) exhibit is generally a fundamental piece of a PV framework. newlineThusly, numerous Maximum Power Point tracking (MPPT) techniques have newlinebeen created and executed. The strategies differ in complexity, sensors required, newlinecombination speed, cost, scope of effectiveness, usage equipment, popularity, newlineand in different regards. A large number of techniques have been created but newlinestill it is a challenging task to figure out the most effective one for a given PV newlineii newlineframework. So as to mitigate the issues different control calculations are newlineproduced to accomplish maximum power from the PV framework under newlinevariable irradiance conditions. In this work, the three proposed advancement newlinemethods are used to achieve the maximum power from the PV. Initially, a newlinecomparative technique of Perturb and observe algorithm (P and O) and Modified newlineMulti-Verse Optimizer (MMVO) algorithms are used to attain the optimal newlinepulses of the dc-dc converter. In the second stage, a hybrid Antlion newlineOptimization (ALO) algorithm and Cuckoo Search algorithm (CS) are proposed newlineto achieve maximum power from the PV with the help of the MPPT controller. newlineIn the later part of research, a comparative analysis for two-hybrid optimization newlinealgorithms is presented for gathering maximum power from the PV by utilizing newlinethe Xilinx System Generator (XSG) based embedded controller. The two- newlinehybrid optimization methods proposed are BAT with Grasshopper (GH) newlinealgorithm and BAT with MMVO technique. The proposed embedded controller newlineis selecting the optimal switches of the dc-dc converter with the help of the newlineBAT-MMVO algorithm. The embedded controller is developed through the newlineXSG domain and tested under the proposed approach. Then main emphasis is newlineto be placed on the photovoltaic system, the modeling and simulation newlinephotovoltaic array, the MPPT control and the DC-DC converter will be newlineanalyzed and evaluated. The step of modeling with MATLAB/Simulink and the newlineexperimental setup of the photovoltaic system is shown respectively and newlinesimulation results are provided. In order to validate simulation results, a micro newlinecontroller-based prototype is develope

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