Development of optimized control schemes for efficiency improvement in grid connected photovoltaic systems

Abstract

The demand for sustainable and green electric power sources has increased significantly to avoid environmental pollution and to fulfill the future power needs. Solar energy is one of the potential energy sources among the various alternatives. The integration of solar PV systems into the grid has grown at an accelerating rate and is regarded as an important component of the electric power system. In a grid-connected PV system, excess power is sent to the existing electrical grid in relation to the PV power consumed by the load. Under various atmospheric conditions, the photovoltaic system fails to produce its optimum power. The Maximum Power Point Tracking (MPPT) algorithm is employed in the MPPT controller to obtain its optimum power continuously. In this thesis, an energy reshaping concept is implemented in the grid connected photovoltaic (PV) system with Fuzzy Fractional Order Proportional Integral Derivative Controller (FFOPID). This work represents a model of 250KW grid connected PV system with Fuzzy FOPID controller. The MPPT controller employs Perturb and Observe (PandO) algorithm to attain the optimum power. The storage function related to the dc-link current and voltage and the q-axis current for the PV system is developed where the physical properties of the terms are studied and analyzed deeply. The remaining energy is reshaped with the help of FFOPID controller in which the controller parameters are tuned optimally with the help of Grey Wolf Optimization (GWO) technique. newline