Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming

In this paper, a wind power selling strategy based on a dynamic programming algorithm (DP) is presented to maximize the income for wind power plant integrated with a battery energy storage system (BESS). Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The proposed strategy aims to take advantage of the price variability in order to generate extra income and consequently the operational profit by carefully adjusting charging/discharging of the BESS while satisfying the operational constraints. Twofold benefits of the strategy lie in efficient energy selling along with the constrained based optimal operation of BESS. The strategy has been analyzed for a few BESSs with a range of energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.