Research On Operation Optimization Of Integrated Energy System Based On Multiple Dispatchable Resources

Against the backdrop of "carbon neutrality," breaking through the traditional energy structure and accelerating the development of clean,low-carbon renewable energy is an important means to achieve structural adjustment and transformation and upgrading of the traditional energy industry.As a typical multi-energy coupling energy system,the integrated energy system has attracted extensive attention.The integrated energy system realizes diversified energy supply and conversion,and improves energy supply,conversion,and utilization efficiency by coupling multiple energy flows and links.However,the complexity and difficulty of optimizing the operation of the integrated energy system caused by the coupling of multiple energy flows and links and the interaction of multiple participating entities require the mining of adjustable resources inside and outside the system to improve the economic efficiency and operation efficiency of the integrated energy system through the collaborative optimization of multiple adjustable resources.Based on this,this dissertation conducts research on the optimization of the operation of integrated energy systems based on multiple adjustable resources.The main research work carried out in this dissertation is as follows.(1)Conducting basic theoretical research on the operation optimization of integrated energy systems.Analyzing the typical basic structure of integrated energy systems,sorting out the types of multiple adjustable resources in integrated energy systems,and establishing mathematical models of adjustable resources such as multiple loads,distributed generation,multi-coupling equipment,and multiple energy storage.Introducing typical integrated energy system demonstration projects in China,analyzing their system type,application scenarios,energy type,system operation modes,and common operation optimization methods,providing a basic mathematical model and theoretical foundation for subsequent research.(2)Conducting research on the optimization of the operation of integrated energy systems based on adjustable resources on the load side.Establishing a comprehensive benefit model of integrated energy service providers and users,proposing a dynamic pricing decision-making framework considering the energy supply income of integrated energy service providers and the comprehensive benefits of users based on reinforcement learning theory,and describing the dynamic interaction process and dynamic pricing problem between energy service providers and users as a discrete finite Markov decision process.On this basis,an operation optimization model of integrated energy systems based on optimal price decision-making and comprehensive demand response of user electricity and heat loads is established.(3)Conducting research on the optimization of the operation of integrated energy systems based on adjustable resources on both the "source-load" sides.Considering the goals of maximizing economic benefits,maximizing energy efficiency,and minimizing carbon emission costs,an economic scheduling model is established for the day-ahead,considering the minimum power deviation penalty cost,wind abandonment penalty cost,and user satisfaction loss cost,and an intra-day collaborative operation optimization model is established.The collaborative operation optimization strategy of adjustable resources on the source side and the load side is proposed,reducing the power deviation of the integrated energy system participating in energy trading in the power grid and heat network,and improving the collaborative ability and flexibility between the source-side adjustable resources and multiple loads in the system.(4)Conducting research on the optimization of the operation of integrated energy systems based on adjustable resources in the electric-carbon market.A day-ahead bidding strategy for integrated energy service providers is proposed to help them make technical and economic decisions in the joint market of electricity and carbon emissions.Considering uncertainties such as electricity price,carbon trading price,load,renewable energy output,and outdoor temperature,a two-stage distributed robust joint optimization model for participating in the electricity-carbon market of integrated energy systems is established.An indoor temperature-relaxed test environment for integrated energy systems is built to verify the effectiveness of the proposed method.(5)Conducting research on the optimization of the operation of integrated energy systems based on adjustable storage resources.Considering the depth of charge and discharge,health status,and full-life cycle degradation cost of energy storage batteries,a storage degradation cost model considering the health status of the entire life cycle of energy storage is established,and a shared energy storage station double-layer optimization configuration model considering multiple time scales and storage degradation cost is established.The upper-layer model solves the optimal capacity configuration problem for shared energy storage stations in a long time scale,and the lower-layer model solves the problem of shared energy storage stations participating in collaborative optimization operation in multiple short time scales of integrated energy systems.