Day-Ahead Generation Scheduling of Power System in Presence of Fast Generation Resources under Uncertainty of Renewable Generation Units.

The growing penetration of renewable energy resources has posed serious technical and economic challenges to day-ahead generation scheduling in power system. Due to the stochastic nature in generation of these resources, providing the requirement flexibility to cover their uncertainty and variability has become an important issue. Among the resources to supplying this product are fast units such as gas units that using their non-spinning ramping capacity can reduce the need for spinning operation of expensive units, while providing the required flexibility of the power system. On the other hand, according to the acceptable approach of electricity markets, paying attention to maximizing social welfare in day-ahead scheduling is of great importance, which requires simultaneous energy and reserve clearing with ensuring resource adequacy in case of generation fluctuations of renewable units. Therefore, in this paper, adaptive robust optimization based on column-and-constraint generation method  has been used to solve day-ahead generation scheduling problem by exploiting the potential of fast units, under the high penetration of wind generation resources. Examination of the results on the  IEEE RTS24-bus test system indicates that utilizing the potential of fast resources, reduces operating costs by 0.85%. Also, using column and constraint method, has led to increasing the convergence speed  of the problem solving process and achieving the optimal solution in a maximum of three iterations.