A low-carbon dispatch model for power system with carbon capture equipment based on operating cost constraint
The development of low-carbon power system is the basis for coping with the challenge of global warming.It is very important to give full play to the role of carbon capture equipment and effectively solve the low-carbon dispatch problem of the power system containing carbon capture equipment.For the low-carbon dispatch problem in the power system with carbon capture equipment,a joint dispatch model for wind power,energy storage,and thermal power units,which may minimize the operating costs of system,is proposed.Then a low-carbon optimal dispatch model for wind power,energy storage,carbon capture,and thermal power units is established.In this model,the optimal operating costs of the power system withnot carbon capture equipment is considered as one of the constraints,and the optimization goal is to minimize the carbon emissions of the power system.Due to the fact that the low-carbon dispatch problem can be defined as a Markov decision process,deep reinforcement learning model is employed to solve the optimal dispatch problem.The experimental results indicate that the proposed low-carbon scheduling model can effectively reduce operating costs and carbon emissions.
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维普
