A Scheduling Strategy For Wind Power Consumption Considering Source-charge Coordination Of Combined Heat And Power System In Low-carbon Environment

With the global warming and other issues gradually attracting attention,my country is accelerating the pace of energy transformation,and strive to achieve low-carbon goals.In view of the fact that the unit has more carbon emissions and the wind abandonment rate in the "three north" areas is still high,this paper mainly studies the carbon emission trading mechanism,and the source-charge coordination process,and the multi-time scale rolling scheduling strategy and the uncertainty of wind power,in order to achieve the low-carbon and low-cost scheduling goals,and further improve the wind power consumption capacity and reduce the scheduling plan deviation,then improve the reliability of scheduling effect.First,the mechanism of the carbon emissions trading process is analyzed,and a carbon emissions trading model including thermal power units and CHP units is established.The use of pure condensing thermal power units for peak shaving and the expansion of CHP unit range and interruptible electric boiler to achieve the source-charge coordination process,and consider the characteristics of the heat network and introduce a carbon emission trading cost function to construct a source-charge collaboration model of the CHP system in a low-carbon environment.The simulation of the example shows that the model can improve the capacity of wind power consumption,and preferentially reduce the electrical output of units with high carbon emission intensity,and realize low-carbon and low-cost ladder-type consumption.Then,the multi-time scale rolling scheduling strategy is analyzed.It is proposed that rolling plan and real-time plan can further release the scheduling flexibility and adjustment flexibility of CHP units,and a rolling correction model for day-by-day planning,rolling planning,and real-time planning is established.Simulations show that as the prediction accuracy increases,when the single thermal load or the wind power output rolls down,the wind curtailment rate decreases,and the scheduling plan deviation decreases,while the electric load shows some opposite characteristics.At the same time,it is proved that multi-time scale scheduling can further improve wind power consumption rate,and reduce the deviation of the scheduling plan,and the rolling plan can reduce the sensitivity of the consumption effect to the carbon trading price,so that each region can always maintain a good level of consumption.Finally,a method for generating typical wind power scenarios based on K-means clustering technology is proposed,and a source-charge collaborative model that takes into account wind power uncertainties is constructed,and theeffectiveness of the clustering results is verified by the PFS cluster evaluation index.Simulation examples show that the uncertainty of wind power will greatly increase the system abandonment rate and total coal consumption,and the model in this paper can effectively reduce the adverse effects,and suppress the increase of the abandonment rate,and reduce carbon emissions,and help achieve low-carbon,highconsumption rate scheduling goals.