Risk-constrained coordinative dispatching for battery energy storage systems of wind farms

The large amount of wind power integrated will have great impact on the operation and control of the existing power system because of the variability and unpredictability of wind energy. Battery energy storage systems (BESSs) are expected to mitigate such negative effects as they have great potential for providing energy buffer and additional power regulation capabilities to meet the operation requirements of the system involving high penetration of wind resources. This paper presents a risk-constrained coordinative dispatching method for BESSs of wind farms, in which the energy storage of the wind farm will be utilized for multiple applications at the same time, including day-ahead forecast error compensation and short-term volatility control, as well as systematic thermal efficiency enhancement and congestion management. Proportion of the BESS utilized for different applications will be optimized with a risk-constrained stochastic optimization method. Also, in order to make full advantage of finite energy storage of wind farm, a coordination dispatch method is added to the optimization method. Simulation is carried out based on historical operation data of a real wind farm in Liaoning Province of Northeast China. The Computer simulation results have proven the validity of the system and the approaches designed in the paper.