Planning for integration of wind power capacity in power generation using stochastic optimization

Wind, and consequently wind generated power are stochastic in nature. Therefore, wind energy is generally used in combination with fuel-based power to maintain reliability. Obviously, designing a reliable and efficient network of several power generation sources requires capacity planning. In this paper, a probabilistic optimization model is proposed for this purpose. The stochastic model uses a combination of recourse and chance-constrained approaches to assign optimal capacities to several sources of power generation including wind. Demand and wind generated power are both assumed stochastic and possibility of energy storage, importation and exportation are also considered in the network.