Reliability assessment of generating systems containing wind power and air separation unit with cryogenic energy storage

The acceptance of wind power has been increased in power systems because of environmental problems and production cost of conventional generation units. High penetration of intermittent wind power can increase risk level in power systems. The combination of energy storage with wind power is considered as a solution for problems of high wind integration. Energy storage can increase the reliability of power systems with high penetration of renewable energies like wind farms. In this paper, the cryogenic energy storage is used, which stores the air in the form of liquid and recover the power when it is needed. The copula theory is employed to generate correlated random variables to determine the wind speed of different locations. Also, for calculating the probability of availability of wind farm and energy storage system, Markov approach is adopted. Monte Carlo Simulation (MCS) method is implemented for obtaining reliability index of the system. The proposed method is verified using comprehensive simulations on Roy Billinton test system (RBTS) reliability test system considering the capacity of wind farms, level of wind penetration and size energy storage.