Abstract: In the context where wind-storage power plants are gradually participating in the electricity spot market under the "both quantity and price bidding" mode, this paper studies the decision-making problem of constructing price-quantity curves for wind-storage combined systems in the day-ahead energy market. Comprehensively considering the uncertainties of wind power output and electricity prices, energy storage lifetime degradation costs, and market rule constraints, a stochastic optimization model aimed at maximizing expected revenue is established. The model simulates the uncertainties of wind power output and market prices using the scenario method and generates optimal hourly price-quantity curves using a mixed-integer linear programming approach. Case study results show that the proposed model can effectively improve the market revenue performance of wind-storage power plants. Compared with the traditional "quantity-only bidding" mode, the price-quantity curve bidding strategy demonstrates significant advantages in reducing uncertainty costs and optimizing economic benefits. Furthermore, increasing the number of bidding segments significantly promotes revenue enhancement. The re-search results provide scientific decision support for the market-oriented operation of wind-storage power plants.