Abstract
Renewable energies are showing their predominant mark on the reliability of power supply on the Power System, besides off-grid systems they are offering markable power reliability for the grid-connected systems too. These renewable energies are stochastic, to make them work viable there is a necessity for an intelligent control system that regulates and captures maximum power from the hybrid solar photo voltaic (PV) and wind systems. During this process, there is a requirement for an energy storage system, which stores the extra generated power. In this way system becomes very effective and reliable, the control system involves an appropriate controller that can control and mitigate fluctuations caused due to the adverse behavior of the renewable sources. Takagi Sugeno-Fuzzy (TS-Fuzzy) based controller for the inverter connected to the AC side is proposed in this paper, that compensates the reactive power essential for the load connected at the point of common coupling (PCC), transfer of active power to the grid, enhancing the power quality supplied to the grid, this also serves as Maximum power point tracking MPPT for PV. With different case studies, the behavior of the controller is analyzed in MATLAB, results are presented thereafter.
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