Sizing of Battery Energy Storage for Wind Integration: Considering Frequency Regulation and Peak Load Shaving

Abstract

The development of modern power system is accompanied by many problems. The growing proportion of wind generation in power grid gives rise to frequency instability problem. The increasing load demand in power grid worsens the load peak-to-valley difference problem. Battery Energy Storage System (BESS) has the capability of frequency regulation and peak load shaving, but its high economic costs need to be taken into consideration. To address this issue, this paper proposes a sizing strategy for BESS with wind integration under the condition of frequency regulation and peak load shaving. In the case of eliminating frequency deviations, the sizing of BESS is decided by the approximated Laplace distribution based on wind power prediction errors. As for peak load shaving, the load interval control method is used for the sizing of BESS. Simulation results demonstrate the effectiveness of the proposed scheme.