Optimal Dispatch Strategy for Power System with Pumped Hydro Power Storage and Battery Storage Considering Peak and Frequency Regulation

Large-scale new energy access to the power grid provides clean power for the power system, but the uncertainty of new energy output leads to security and stability problems and new energy abandonment in the power system. Pumped storage and battery storage technologies are important means to transfer power and provide power regulation for the system. In this paper, a multi-timescale optimal scheduling model for pumped storage hydropower plants and battery storage systems is developed for large-scale new energy consumption enhancement. The model takes reducing the peak-to-valley difference of the net load curve of the grid and reducing the peaking cost of conventional units as the optimization objectives, and considers the cumulative frequency regulation demand constraints for multiple time periods during the day. By converting the established model into a mixed-integer linear programming (MILP) problem, the optimal scheduling scheme considering the system peak and frequency regulation demands can be solved. A simulation example is carried out with the Beijing-Tianjin-Tangshan power grid to verify the effectiveness of the proposed method.