Energy storage effects on day-ahead operation of power systems with high wind penetration

This paper simulates the optimal day-ahead operation of energy storage in a power system with high wind penetration. Mixed integer programming is employed to formulate the optimal scheduling problem of a thermal based power system with energy storage as a centralized optimization. Simulation of the operation of a 10-generator power system with near-ideal storage is employed to identify the effects of energy storage on generation cost and conventional power plants. Simulation results show that implementation of energy storage reduces total energy generation costs for wind energy penetration levels up to 30%, while also reducing the variability in the output power of conventional generation units and wind energy spillage.