An adaptive control algorithm for wind power dispatch using a battery energy storage system

This paper presents an adaptive wind power selling strategy to increase the income for grid-connected wind power plant attached with a battery energy storage system (BESS). The proposed selling strategy is primarily based on time varying price thresholds that are varied by our proposed adaptive algorithm. 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 wind farm operator could take advantage of the price variability in order to generate an extra income by choosing the best price thresholds in an adaptive manner. Twofold benefits of the proposed strategy lie in efficient energy selling along with the constraint-based efficient operation of BESS. The strategy has been analyzed for a variety of BESSs with a wide range of its 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.