Low Carbon Scheduling Of Electrical Thermal Integrated Energy System Based On The Ladder CVaR-light Robust Optimization

With the deepening of the coupling between the electric power network and the thermal network,the development of an integrated electrical and thermal energy system has brought great opportunities for improving energy conservation and environmental protection efficiency.However,the characteristics of “determining electricity with heat” of combined heat and power units and the uncertainty of wind power make the wind abandonment situation worrying,which has become a constraint for the further development of wind power and electrical thermal integrated energy system.On the load side,the introduction of integrated electric and thermal demand response can strengthen the bilateral interaction between source and load and promote wind power consumption.The electrical and thermal loads of the system are also uncertain.Therefore,this paper constructs a low-carbon dispatch model of the electrical thermal integrated energy system that considers the uncertainty of both sides of the source and load,and performs simulation verification.First,in order to deal with the uncertainty of wind power,the ladder light robust optimization framework is proposed.In the traditional light robust optimization,the light robust coefficient is introduced to adjust the tolerance limit of the objective function,and the slack threshold and the ladder penalty coefficient are further defined to generate the ladder penalty cost to limit the size of the constraint.Based on this,the ladder weak robust optimization framework is proposed.Secondly,in order to relieve the electro-thermal coupling of the combined heat and power units and increase the space for wind power grid connection,the electrical thermal integrated energy system structure including combined heat and power units,electric boiler and heat buffer tank is established.A multi-objective low-carbon scheduling model with the minimum comprehensive operating cost and minimum carbon emission trading cost as the goals is proposed.Using the ladder light robust optimization to deal with the uncertainty of wind power,the scheduling model of the electrical thermal integrated energy system based on the ladder light robust optimization is established.The simulation verifies the feasibility of the established model and the effectiveness of the proposed optimization method.Finally,in order to increase the flexibility of energy use,on the basis of traditional power demand response,an integrated electrothermal demand response model is established.Based on this,a low-carbon dispatch model for an electrical thermal integrated energy system with the participation of integrated electrothermal demand response is proposed.Taking into account the uncertainty of source load measurement,using the conditional value-at-risk theory to deal with the uncertainty of load.The uncertainty of electric heating load is scenarioized,and a ladder light robust optimal scheduling considering the uncertainty of wind power is established in each scenario model,and then an overall optimal scheduling model with the smallest expected value in multiple scenarios is established.The multi-objective bacterial population chemotaxis algorithm is used to solve the model.The unit output,dispatch results and wind abandonment rate before and after the dispatch of the integrated electrothermal demand response are compared,and the superiority of the proposed optimization method is verified.