ABSTRACT
Wind power is a major source of renewable energy, and the world is in high demand. Nevertheless, due to large variations in power output, it is difficult to manage wind power. To mitigate these fluctuations, this paper proposes a method for suppressing frequency variability in wind power. The smart grid concept in the grid has recently developed the role that electric vehicles play in the form of vehicles in terms of grid technology. The grid management vehicle allows the two-way sharing of energy between the power grid and the electricity vehicle, providing various power grid services. Because the implementation of grid technology by vehicles is a challenging unit commitment issue with multiple conflicting goals and constraints, optimization techniques are commonly used. If a generating unit is suddenly disconnected by the protective equipment, there will be a long-term imbalance in the power balance between that supplied by the turbines and that consumed by the loads. Originally, the kinetic energy of spinning turbine, generator and engine rotors covers this discrepancy, resulting in a shift in the frequency of the process. The Load Frequency Control problem is one of the important subjects in the field of power system control and operation. The traditional PI type controllers were applied to LFC in functional systems. Several methods have been proposed by various researchers to address the drawbacks of traditional PI controllers. A PID based controller for the LFC problem is considered in this paper. The proposed PID controller’s parameters were tuned using the particle swarm optimization (PSO) approach.
