Tuning of asymmetrical fuzzy logic control algorithm for SPV system connected to grid

Solar Photovoltaic (SPV) cells and hydrogen fuel cells are green and efficient Distributed Energy Resources (DERs) with minimal environmental impact. Integration of DERs with conventional grid through inverters has proven to be an accepted technique for a continuous and good quality power to end users. For an efficient use of an inverter, its control algorithm plays an important role. In this paper, asymmetrical Fuzzy Logic Control (FLC) algorithm is designed, developed and simulated for a SPV system connected to the grid. In proposed asymmetrical FLC algorithm, the fuzzy functions of error input close to zero are used for fine-tuning, and the error input away from zero are used for coarse tuning. The effectiveness of the proposed control algorithm is demonstrated for controlling the PV inverter in unity power factor mode while maintaining the power quality standards and load balancing. Further, the system steady-state and transient response with the asymmetrical FLC algorithm is analyzed for linear as well as non-linear loads using MATLAB along with Simulink toolbox. Finally, a comparative analysis of asymmetrical FLC algorithm with other algorithms is presented to establish the superiority of the proposed algorithm.