Fuzzy based adaptive sliding mode control of standalone 1-Φmicrogrid using solar PV, wind and hydro-based generation

The reliability of a hybrid renewable energy system is better than that of a single source. Fuzzy based Adaptive sliding mode control (F-ASMC) from a freestanding single-phase microgrid system with enhanced power quality. Because of their complementary nature benefit, wind and solar combination are the most promising method of energy generation. The microgrid system includes a governor-less 1-Φ, 2-winding, self-excited IG (induction generator) with a wind-driven brushless magnet DC generator, photovoltaic array, battery energy storage system, and integrating with voltage source converter. To evaluate the reference source current, which controls the VSC single stage and regulates the microgrid voltage and frequency, as well as harmonic current reduction, the F-ASMC-based control algorithm is used. The proposed F-ASMC calculates the system’s actual and reactive benchmarks, which may be adjusted to account for changing costs. The SMC system is used to evaluate the system’s real energy reference to ensure energy balance between micro-hydro, photovoltaic power, wind and BESS, which controls independent microgrid frequency. The MATLAB Simulink simulation results show that the grid voltage (V) and frequency (f) remains same when the system fluctuates abruptly and power is intermittently penetrated by wind and solar power sources.