Fuzzy And Sliding Mode Controller Based Performance Analysis For Maximum Power Point Tracking Of Photovoltaic Systems For Water Pumping Applications

Abstract

The Best Source Of Energy Is Solar Energy, Which Naturally Regenerates Itself In A Short Amount Of Time And Is Referred To As Renewable Energy Or Sustainable Energy. The Maximum Power Point (MPP) Of Solar Panels, Which Is Dependent On External Parameters Including Temperature And Irradiance, Has A Nonlinear Voltage-Current Characteristic, And Its Maximum Power Point Is Not Constant. Which Maximizes The Power Output For A Specific Set Of Conditions Is Critical For Water Pumping Systems In Order To Capture The Maximum Power From The Solar Panels On A Continuous Basis. Using A Fuzzy Sliding Control Scheme, A Stand-Alone Photovoltaic (PV) System Can Achieve Maximum Power Point Tracking. The Main Objectives Of These Controllers Are To Increase The Effectiveness Of The PV Power System, Achieve Maximum Power Point Operation Without The Requirement For Atmospheric Condition Measurement, And Reduce The Chattering Of The Sliding Mode Controller. The Power Oscillation Around The Operating Point Is A Problem That Most Commonly Affects Maximum Power Point Tracking Techniques And Is Determined By The Proposed Controller. Environmental Elements Like Varying Temperatures And Radiance, Shadows Cast By Tall Buildings And Trees, And Solar System Performance All Have An Impact. Such Varying Environmental Conditions Affect Solar Cells?�? Efficiency. To Improve The Efficiency Of The Solar System, Power Extraction Must Be Optimized Under All Weather Conditions. Using Solar Photovoltaic Systems As A Source Of Energy Is Beneficial Over Fossil Fuels And Has No Environmental Issues Like Atmospheric Greenhouse Gas Emissions That Result In Acidic Rain, Global Climate Change, Etc. This Thesis Focuses On Increasing Energy Extraction By Improving Maximum Powerpoint Tracking (MPPT). One Of The Most Promising Areas Of Photovoltaic Applications Is The Use Of Photovoltaic Energy As A Source Of Energy For Water Pumping. From The Simulation, The Highest Performance Values For Perturb And Observe Are 98.70%, The Highest Performance For A Fuzzy Logic Controller Is 99.60%, The Highest Performance, Or Efficiency Sliding Mode, Is 99.66%, And The Hybrid Efficiency Of A Fuzz-Sliding Mode Controller Is 99.97%. Kyocera KC200G. In This Thesis, 5.682 KW Of Power Is Designed For A BLDC Solar Water Pumping System.