Bi-Layer Economic Scheduling Model For Integrated Energy System Based On Source-Load Coordinated Carbon Reduction

The sustainable development of modern society is threatened by the energy crisis and global warming.The efficient use of renewable energy and the rapid development of electric vehicles provide an opportunity to solve this problem.Integrated Energy System(IES),as an important way of energy transformation to low-carbon economy,is one of the main energy operation modes in the future.However,in order to realize a real low-carbon economy,it is necessary to start from both the power side and the load side to deeply explore the carbon reduction potential of IES.At the same time,with the increasing penetration rate of electric vehicles,their disorderly charging behavior will inevitably aggravate load fluctuation.Therefore,how to coordinate the scheduling between IES and Electric Vehicle Charging Stations(EVCS)in a multi-stakeholder scenario to reduce the cost of joint operation is also a challenging issue.Based on this,this paper proposes a bi-layer economic scheduling model for IES based on source-load coordinated carbon reduction,and conducts in-depth research on it.The specific contents are as follows:Firstly,in order to deeply explore the energy saving and emission reduction potential of the source-load side of IES,a source-load collaborative carbon reduction operation framework is built,and the structural composition and operation mechanism of the source-load collaborative operation framework are described.Then,based on this framework,each equipment unit on the source-load side is modeled.Secondly,a bi-layer economic scheduling model for IES based on source-load coordinated carbon reduction is constructed.The upper layer is IES energy dispatch ing layer,and the electricity price is updated continuously and transferred to the lower model.The lower layer is the EVCS energy dispatching layer,which guides electric vehicles to orderly charge and discharge according to the electricity price,and feedbacks the charge and discharge plan back to the upper model,both the upper and lower models aim to minimize the net operating cost.In order to closely connect the upper and lower layers,a multi-source dynamic pricing mechanism was proposed to guide electric vehicles to actively participate in IES scheduling process.This model introduces a ladder-type carbon trading mechanism and combined with the demand response characteristics of flexible load to guide IES low-carbon operation.Thirdly,the probability distribution of wind power and photovoltaic is discretized by using the sequential operation theory,and the chance constraint is converted into its deterministic equivalent form,which is then transformed into a solvable mixed integer linear programming model by linearization method.The CPLEX solver is invoked to solve the bi-layer model iteratively.Finally,taking an integrated energy system in northwest China as an example,the influence of carbon reduction measures at the source-load side on the system scheduling results under different scenarios was analyzed,and the influence of some variables on the scheduling results was explored.The simulation analysis and verification results show that the model can effectively change the load power,realize the consistency of the renewable energy output power and electric/thermal load curve in time sequence,and alleviate the energy supply pressure.The proposed dynamic pricing mechanism can effectively reduce the joint operation cost of the system by coordinating the energy interaction of different stakeholders from the upper and lower levels,thus verifying the effectiveness of the proposed model in taking into account the low carbon and economy of the system.