Optimization of combined wind-solar-thermal-storage system considering the uncertainty of renewable energy output
The combined dispatching and operation of wind-solar-thermal-storage is an important path to help the thermal power industry achieve carbon peaking and carbon neutrality goals.In order to cope with the impact of renewable energy output uncertainty on the power system,a set of uncertain parameters of wind power and photovoltaic power output was constructed to minimize the total operating cost as the 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 sec-ond stage involving uncertain variables.In the first stage,the start-up and shutdown state of thermal power units and charging and dis-charging state of energy storage equipment were solved based on the predicted output of renewable energy.In the second stage,as a flexi-ble regulation stage,the output power of each equipment under the worst scenario after disturbance occurs was solved,and the col-umn constraint generation algorithm was used to calculate with examples.The results show that the model can effectively smooth the net load 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 optimiza-tion model indicates that the robust optimization considering the uncertainty of renewable energy has a higher conservative degree.At the same time,the greater the deviation of renewable energy output,the smaller the increase in operating cost compared with the deterministic optimization,effectively reducing the interference of renewable energy output deviation on system economy.
wind-solar-thermal-storagecoal-fired power generationcarbon emissiontwo-stagerobust optimizationoperation
NETL
NSTL
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