Two-stage robust optimal scheduling of wind power-photovoltaic-thermal power-pumped storage combined system

As traditional fossil energy sources such as coal cause serious environmental pollution, it is a major trend to promote the construction of a 'clean' power system with new energy sources as the mainstay. However, the uncertainty of intermittent energy output and its high proportion of grid connection bring challenges to the scheduling operation of the power system. In this paper, the authors propose a two-stage robust dispatching strategy for the combined wind-photovoltaic-fired-pumped storage system to improve the capacity of renewable energy (RER). The outer layer of the model is based on minimizing the start-stop cost of thermal power units to obtain the start-stop scheme of thermal power units, and the inner layer of the model integrates the system operation cost, pollutant emission cost, deviation penalty, and other constraints of wind power and PV output to obtain the dispatching scheme with the lowest overall operation cost under the worst scenario of wind power and PV fluctuation. The model is solved alternatively by column constraint generation algorithm (C&CG) and strong pairwise theory. The feasibility and effectiveness of the proposed method was verified based on the improved 30-machine test system as an example.