| As an important carrier of carbon emission reduction and a specific way of realizing diversified energy supply,the integrated energy system has flourished under the dual pressures of energy crisis and environmental pollution.It takes the power system as the core and converts various primary energy sources such as new energy,coal,and natural gas into various energy forms such as electricity,gas,heat(cold),and hydrogen required by the terminal.This paper focuses on the research on the optimal operation of the integrated energy system at the cross-regional source-side transmission network and the regional-level load-side distribution network.Firstly,this paper gives an overview of the optimal operation of the integrated energy system,introduces the principle and modeling of the key components in the system,and summarizes the processing and solution methods of the optimization model in the integrated energy system.In view of the supply and demand characteristics and transmission characteristics of each energy subsystem,a study on the optimal operation of the integrated power and natural gas energy system at the cross-regional level was carried out in the context of carbon trading.Firstly,the reward and punishment ladder-type carbon trading model is constructed,and the impact of the carbon trading mechanisms on the carbon emission sources in the power system is comparatively analyzed.Secondly,in order to achieve a reasonable allocation of carbon resources in IPGES,a bi-level optimization model is established while taking into account the economics of dispatching and the requirements of carbon emission reduction.Among them,the outer layer is the optimal carbon price solution model considering carbon trading;in the inner layer,considering the power system constraints,natural gas system constraints,and coupling element operation constraints,a stochastic optimal dispatching model of IPGES based on scenario analysis is established.The uncertain output of wind power is processed by scenario generation and reduction technology.After processing the inner layer model as a mixed integer linear programming problem,based on the improved particle swarm algorithm and Gurobi optimization solver,the interactive solution of the inner and outer layer models is completed.Finally,the validity of the proposed model and method is verified by an example,and the optimal carbon price and dispatching results in IPGES are obtained.Under the most economical dispatching mode of the cross-regional energy system,the research on the optimal operation of the energy supply and demand of the regional micro-energy network is carried out.Firstly,the characteristics of the demand-side flexible load are analyzed,and a mathematical model of the flexible load is established.Secondly,a low-carbon micro-energy grid structure with a high proportion of wind power is proposed.Further,the collaborative interactive multi-objective optimization operation model of energy supply and demand in the micro-energy grid is constructed from multiple levels.Including the micro energy grid responds according to the energy price and node marginal carbon emission intensity of the superior grid;the optimal operation of the micro-energy grid itself;the internal flexible adjustment of the electric,heat and hydrogen energy hub;and the flexible energy demand of the terminal load.The optimization model is transformed into a mixed integer second-order cone single-objective programming problem through piecewise linearization,second-order cone relaxation,and multi-objective weighted fuzzification processing techniques.The simulation results show the advantages of energy supply and demand considering multi-coordinated interaction in terms of system operation economy and low carbon,and verify the effectiveness of the model and solution method in this paper. |
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