The combined dispatching and operation of wind-solar-thermal-storage is an important path to help the thermal power industryachieve carbon peaking and carbon neutrality goals. In order to cope with the impact of renewable energy output uncertainty on the powersystem, a set of uncertain parameters of wind power and photovoltaic power output was constructed to minimize the total operating cost asthe optimization goal, and a two-stage robust optimization model was established to optimize the scheduling of the combined wind-solar-thermal-storage system. The uncertainty optimization problem was decoupled into a first stage involving deterministic parameters and a second stage involving uncertain variables. In the first stage, the start-up and shutdown state of thermal power units and charging and discharging state of energy storage equipment were solved based on the predicted output of renewable energy. In the second stage, as a flexible regulation stage, the output power of each equipment under the worst scenario after disturbance occurs was solved, and the column constraint generation algorithm was used to calculate with examples. The results show that the model can effectively smooth the netload fluctuation and relieve the peak load pressure of thermal power units through reasonable energy abandonment and energy storage.Compared with the deterministic optimization model, the increase in operating cost obtained from the solution of the uncertainty optimization model indicates that the robust optimization considering the uncertainty of renewable energy has a higher conservative degree. At thesame time, the greater the deviation of renewable energy output, the smaller the increase in operating cost compared with the deterministicoptimization, effectively reducing the interference of renewable energy output deviation on system economy.

宋祉慧(1994—),女,安徽黄山人,副教授,博士。E-mail:szhihui@mail.ustc.edu.cn

--

SONG Zhihui,TIAN Junjian,NI Zhanshi,et al.Optimization of combined wind-solar-thermal-storage system consideringthe uncertainty of renewable energy output[J].Clean Coal Technology,2024,30(8):117-127.