Optimal Configuration And Coordinated Regulation Of Regional Integrated Energy Systems Under Dual Carbon Target

Regional Integrated Energy System(RIES)can significantly improve energy utilization efficiency and promote the consumption of renewable energy through optimization multi energy coupling complementarity and collaborative optimization scheduling,it will play an important role in the path of achieving the "dual carbon" goal.Taking regional integrated energy system as the research object,this paper explores the carbon reduction capacity of the regional integrated energy system from the planning to the operation stage through load forecasting,layout optimization,capacity configuration and system operation optimization.This paper implements collaborative planning and coordinated operation of RIES,reduce peak-valley difference,carbon emission,capital cost and operation cost of region,improves energy efficiency,absorption level of wind power and solar power.The main work is summarized as follows:(1)For load forecasting problem,This paper analyzes the characteristics of various building loads and the influencing factors of building loads.Based on numerical simulation method and utilization factor method,this paper constructs a regional load simulation method to simulate hourly electricity,heat,and cooling loads in the region.Case study shows that the method proposed in the paper can improve the accuracy of regional load simulation while taking into account the load characteristics of individual buildings and the simultaneous rate of regional building loads.(2)For layout problem of energy stations and energy pipeline networks,this paper establish mathematical models for layout problems based on graph theory and energy distance.In order to reduce the peak valley load difference in the energy supply area,this paper construct a station network collaborative planning model considering regional load characteristics.When dividing the energy supply range of energy stations,the model reduces the peak valley difference of regional load by sacrificing the investment cost of the pipeline network.Case study shows that the optimization results increase the investment cost of the pipeline network,reduce the peak valley difference of regional load,and reduce the investment cost of energy station planning,effectively reduce the overall investment cost.(3)For contradictory and dimensional mismatch problem of economic specifications and environmental specifications,this paper constructs a multiobjective low-carbon planning model with economic cost and carbon emissions as objective functions base on Non-Dominated Sorting Genetic Algorithm-Ⅱ.The model considers the system operation during the planning phase,and its optimization results can effectively reflect the impact of uncertainty in wind and light power on system planning.Case study shows that the proposed model can significantly reduce the investment cost and carbon emissions,and improve the overall energy utilization efficiency of the system.(4)For operational porblem of regional comprehensive energy systems,this paper proposes an optimization model for source load coordination considering carbon coupling based on carbon emission theory.The model achieves coordinated cooperation and optimized scheduling between the system and multiple energy users.The model guides users to participate in demand response with electricity price and carbon potential as inducing factors through demand side management technology.Case study shows the model can deeply explore the willingness of multifunctional users to reduce emissions while ensuring user satisfaction with energy use,improve the overall level of wind and solar energy consumption,reduce system operating costs.