On Generation Schedule Tracking of Wind Farms With Battery Energy Storage Systems

This paper is based on an idea that battery energy storage systems (BESSs) are integrated into wind farms (WFs) thus to enable the BESS-integrated WFs to inject energy into power grids as certain generation schedule determined previously according to wind power fluctuations and BESS characteristics. It is proposed in the paper that the BESS is divided into two parts and controlled independently to compensate stochastic power deviations between wind power and the predetermined generation schedules. Sequential Monte Carlo simulation technology is utilized to simulate operations of the BESS-integrated WF during a year. Technical performances on generation schedule tracking together with benefits, costs, and profits attributed to the BESS are subsequently quantified by a series of indices proposed in this paper. Simulations on a certain WF show that the proposed methodology is effective and BESS profits can completely cover the cost regardless of the state exchanging strategy. Simulation results also show that the charging/discharging state exchanging strategy of the BESS has significant impacts on the BESS-integrated WF. The proposed work in this paper can provide theoretical support when designing a BESS-integrated WF.