Optimal Capacity Allocation of Pumping and Storage Power Station Based on Multi-time Scale Decision-making in Power Market

In order to solve the problems of unclear market positioning and difficult investment return, an optimal capacity allocation method based on multi-time scale decision-making in power market is proposed. At the upper level, the capacity planning model is established to maximize the return on investment of the pumping and storage power station. At the lower level, the participation of pumping and storage power station in the market is simulated. In the first stage of the medium- and long-term market, wind power generation, photovoltaic power generation and risk-constrained leasing of a certain capacity of extraction and storage can form a wind-storage and light-storage alliance, and then combine the thermal power to jointly quote the power grid and to establish a unified clearing model with the minimum cost of power grid purchase as the goal. In the second stage of spot market, the medium- and long-term market clearing constraints are taken into account, and the extraction and storage power station can use the residual capacity after lease to participate in the electricity energy market and auxiliary service market, therefore, a clearing model aiming at the minimum sum of power purchase cost and auxiliary service cost of the grid is established. The clearing results of medium- and long-term market and spot market are fed back to the upper level to further optimize the capacity allocation of the pumping and storage power station. Example analysis shows that the proposed model can effectively promote the absorption of wind power and photovoltaic power, make full use of the flexible resources of the pumping and storage power station, and improve its profitability. © 2023 Science Press. All rights reserved.