ANFIS based load frequency control in an isolated micro grid

The inertia of power systems can compensate the power imbalances, which are caused by the intermittent renewable energy sources or by disturbances in load. However, it is still difficult to keep the frequency changes within its acceptable limits. With the use of vehicle to grid (V2G) technology, the electric vehicles (EVs) can work as a mobile energy storage units. In an isolated grid, these mobile energy storage units could be a vital solution for the load frequency control (LFC). This paper shows an intelligent LFC technique that is based on an adaptive neuro-fuzzy inference system (ANFIS). An isolated wind-solar PV-micro turbine-diesel based micro grid (MG) has been considered in the paper. The performance of the proposed intelligent controller is also compared with conventional proportional-integral-derivative (PID) controller and fuzzy controller design methods. The results show that ANFIS based neuro-fuzzy LFC controller have less settling time and also improve dynamic responses for the considered MG.