TS-Fuzzy Controllers Based Grid Connected Hybrid Wind-PV-Battery Power Generation System

Grid connected hybrid renewable energy systems are widely used at present. These systems typically combine photovoltaic (PV) and PMSG tied wind power units due to their individual advantages. However, wind power generation depends on wind speed, while PV power generation relies on solar irradiance. As a result, power generation from both sources can be inconsistent. In order to tackle this problem, it is essential to implement an energy storage system (ESS) to minimize fluctuations in power generation. Among the various ESSs, batteries are considered one of the best options. This research paper compares the effectiveness of the Takagi Sugeno-Fuzzy (TS-Fuzzy) controller with the Proportional and Integral (PI) and Mamdani Fuzzy controllers in managing rapid changes. The TS-Fuzzy controller proposed in this study is specifically tailored for both AC and DC sides of the grid-connected system. Its primary goal is to establish a link between the batteries, PV and PMSG hybrid system and the grid. This innovative controller not only compensates for the reactive power needed by loads but also reduces harmonics caused by nonlinear loads and ensures balanced grid currents, even when unbalanced loads are connected to the load bus. Furthermore, the DC-DC converter controllers for the battery and inverter facilitate the operation of the PV system at its maximum power point tracker, eliminating the need for an additional converter to optimize PV utilization. Extensive MATLAB simulations are conducted to assess the performance of the controllers across various case studies.