Optimal Operation Of Carbon Capture Power And Low-Carbon Dispatching Of The System By Using Robust-Superquantile Method

Low carbonization of the electric power industry is an important link in the sustainable development of our country,and gives priority to with thermal power,in the short term will not change the status quo of contrast,carbon capture and storage technology is seen as a key technology to realize low carbon electricity industry.And carbon emissions trading system,the carbon price uncertainty will affect carbon capture level of the carbon capture power plant.Therefore,it is of great significance to study the impact of carbon price uncertainty on the optimal operation of carbon capture plant or the low carbon Dispatching of the power system with carbon capture unit.Stochastic optimization model of carbon capture plant using probability distribution to describe the uncertainty of carbon price,But the fitting error and sampling error of probability distribution are not considered in the calculation of this kind of stochastic carbon price,so using the robust optimization of ideas,The introduction of uncertain set said slack variable modified probability distribution,In order to reflect the error of probability distribution.Based on superquantile method,put forward the robust-superquantile method model.And deduce the box uncertainty set robust-superquantile method of carbon capture plant operation optimization model.This model uses the box uncertainty sets are used to describe the carbon price error probability distribution,Objective function is minimizing the maximum expected value of generation cost in the scope of its uncertainty sets uncertainty set.The simulation results show that:it is necessary and true to consider the probability distributions error of carbon price;With the increase of the uncertain parameters,the cost of the operation of the carbon capture unit is increased,but lower than the superquantile fin to ignore the error while the actual cost,also the carbon capture level determined by robust-superquantile method is higher.The optimal model and its calculation of carbon capture plant operation optimization using robust-superquantile method can meter the carbon price random distribution characteristics and its error,and can obtain more low carbon and economic benefits.In the context of low-carbon economy,Traditional power dispatching showing nottake into account the limitations of carbon emissions,The low-carbon dispatching,which makes the cost of the project and the cost of electricity generation came into being.But the existing low carbon dispatching research has not considered the influence of carbon price uncertainty and carbon capture and storage technology.Therefore,in the low-carbon dispatching model based on the consideration of carbon price uncertainty,The low carbon dispatching optimization model of power system with carbon capture unit is derived by using the robust-superquantile method.Because this optimization model in solving the NP-hard problem,so the use of the duality principle be converted to conventional nonlinear optimization problem.The simulation results show that:The net output power and carbon capture energy of the carbon capture unit are increased with the increase of the uncertain parameters,and then change the output of the conventional unit;Compared with the results of the super quantile method optimization model without considering the error of the carbon price probability distribution,it can reflect the actual situation more accurately.Robust-superquantile method is based on the superquantile method to consider the probability distribution of error and its uncertainty,is the new way of thinking to solve the problem of uncertainty optimization.