A Hybrid Renewable Energy System with Advanced Fuzzy Logic based Emperor Penguins Colony for MPPT Optimization

In recent years, the demand for sustainable energy has led to an advancement of Hybrid Renewable Energy Systems (HRES). However, for constant extraction of maximum power from HRES, an efficient Maximum Power Point Tracking (MPPT) technique is required. Therefore, this research proposed a Fuzzy Logic Control based Emperor Penguins Colony (FLC-EPC) MPPT technique. Initially, to generate enough power for grid, a wind turbine and solar Photovoltaic (PV) are installed. Further, in Doubly Fed Induction Generator (DFIG) of wind turbine, a Rotor Side Converter (RSC) is employed to control the rotor current. After that, for converting DC power to AC, a Grid Side Controller (GSC) is introduced, and it also obtains maximum power from PV by using FLC-EPC. For storing excess energy, the combination of Battery Energy Storage System (BESS), Super Capacitor (SC) and Fuel Cell (FC) with an Electrolyser are utilized. The proposed FLC-EPC attained better results in terms of voltage fluctuations (9.55%) and MPPT efficiency (99.17%) when compared to existing P&O (Perturb and Observe) technique.