Abstract: Aiming at the bidding problem of wind power-energy storage integrated stations（referred to as wind-storage station） serving as an price-maker in the day-ahead energy market and reserve market, an electric quantity-reserve joint bidding decisionmaking method based on residual demand curve is proposed. Firstly, the feasible electric quantity-reserve bidding pairs are generated within the scope of day-ahead bidding of the wind-storage station, considering the operation constraints of the energy storage system as well as the coupling relationship between the electric quantity and the reserve market. The corresponding market clearing price is forecasted and calculated based on neural network. The joint modelling method of residual demand curve is proposed for the electric quantity and reserve market. Secondly, a stochastic optimization decision-making model is established for joint bidding in both day-ahead electric quantity and reserve. The day-ahead output power schemes and reserve capacity of the energy storage system are adjusted with the goal of maximizing the income expectation of the wind-storage station. At the same time, the real-time deviation penalty of wind-storage station can be reduced by dispatching the reserve capacity of the energy storage system while considering the uncertainty of the real-time market. Finally, the effectiveness of the proposed bidding decision-making method is verified by numerical simulation.