Generation Scheduling in Large-Scale Power Systems with Wind Farms Using MICA

Abstract The growth in demand for electric power and the rapid increase in fuel costs, in whole of the world need to discover new energy resources for electricity production. Among of the nonconventional resources, wind and solar energy, is known as the most promising devices electricity production in the future. In this thesis, we study follows to long-term generation scheduling of power systems in the presence of wind units considering demand response programs for a power generation system with the conventional structure containing 10 units of thermal power plants, 2 units of large-scale wind farms, with regard to demand response programs. In this study, the model of equation order 2, used to model the cost of thermal power plants. Due to the apparent wind farm modeling of wind speed in the months of the year has been used the productivity of each month. For modeling the demand, response of the concept of virtual generation demand resources is used and production costs of the final objective function are applied. All simulations, performed in MATLAB. The results showed that the cost of basic state allocated more values by itself, by considering responding load would be happened the cost reduction and the amount of this reduction changes with participation value and increases amount of lower cost by increasing participation value.