For the investment and planning of battery energy storage system（BESS）

allocation effect deviation may be caused when fixed life or cycling life is used to roughly characterize battery performance degradation under ancillary service market of primary frequency regulation

and it is difficult to maximize net income. we proposed a strategy for operation and control of BESS

which integrated power requirements of frequency regulation and delicacy management about state of charge（SOC）. A methodology for prediction of battery calendar life was presented from the perspective of capacity degradation. A coordination optimization model between configuration capacity and control parameters was built for BESS to realize the maximum net present value（NPV） of total life cycle. The results of numerical examples validate the feasibility and effectiveness of proposed model. According to the methodology of calendar life prediction

the battery life and net investment income can be evaluated more accurately and properly under the application background of primary frequency regulation. Relevant research can provide a theoretical basis in planning and operation for BESS to participate in primary frequency regulation service.