ABSTRACT
Our energy requirements are met with the help of several traditional non-renewable sources; however, they have their own constraints and are viewed as unsafe for the environment in terms of pollution they bring to our ecosystem. We are forced to reconsider our position and tap into the available renewable energy sources. Wind energy appears to be an attractive option for controlling the amount of electricity fed into the power system network and diversifying the power markets. Furthermore, because wind energy is inexhaustible and has unlimited potential, it is one of the greatest resources available today for enhancing the capacity of transmission and distribution networks for economic development. Traditional control approaches for grid voltage regulation employing VSC-based shunt controllers have shown to be more effective. However, when distribution systems are connected to wind energy conversion system, more precise control is needed because of inconsistent wind turbine output power and extremely non-linear characteristics. To address this, an model predictive control (MPC) method relying on a shunt-connected device known as voltage source converter has been investigated to improve the distribution system’s energy efficiency and accuracy. The traditional incremental conductance (INC) framework is combined with MPC in order to achieve the maximum harvesting energy from wind with respect to variations from the load or source end.
