In order to address the operational decision-making strategy of new energy-side energy storage power plant used for fluctuation smoothing to participate in the power market

this paper proposes an application model of new energy-side energy storage power plant for fluctuation smoothing to participate in the electric energy market and the frequency regulation market based on the existing policy of energy storage participation in the power market

with an operational plan formulated at the day-ahead stage

and the operational decision-making of the storage plant optimized at the real-time stage on a rolling basis

taking into account the uncertainty of the demand in the frequency regulation market as well as the impact of the over-limit of the frequency regulation power on the frequency regulation gain of energy storage

and using the new energy power and tariff prediction curve as the input condition. Taking the new energy power and electricity price prediction curves as input conditions

we construct a day-ahead and real-time operation decision-making strategy model for energy storage plant participation in the electricity market that takes into account new energy fluctuation smoothing

linearize the decision model using the big M method and call the commercial optimization solver CPLEX to solve it. Example analysis shows that the proposed strategy can fully utilize the storage power and capacity

and improve the operation economy of the storage plant while reducing the probability of energy overrun.