Research On Regional Integrated Energy System Planning Based On Bi-level Optimization

Under the background of global warming and the transformation of international energy structure,the future development of China’s energy system is facing great pressure of demand balance and energy conservation and emission reduction.In order to realize the coordinated utilization of regional energy resources,it is necessary to carry out multi-energy complementation on various heterogeneous energy resources such as cold,heat,electricity,gas,etc.to realize the coordinated coupling of energy resources and further improve the energy utilization efficiency.Under the impetus of energy reform and continuous innovation of integrated energy services,Regional Integrated Energy System has become the main direction of energy system development today,bringing new solutions to the coupling and complementation of multiple energy sources and the ladder utilization of energy.Regional integrated energy system planning is the foundation of its stable economic development,which is directly related to the economy,environmental protection and reliability of the system.It is an important problem that needs to be solved urgently at the beginning of the establishment of regional integrated energy system.However,how to realize the reasonable capacity allocation of regional integrated energy system under the condition of satisfying the reliability and safety constraints has become the focus of attention.Therefore,it is necessary to study the capacity planning and operation optimization of the regional integrated energy system,build a bi-level optimization model based on energy cost and environmental cost,and test the accuracy and reliability of the system capacity planning scheme to ensure the economic and efficient operation of the regional integrated energy system.The research content of this thesis mainly includes three parts.Part Ⅰ:Analyze the basic theory of regional integrated energy system planning and operation optimization.The research content includes three parts:Firstly,a relatively complete basic framework of the regional integrated energy system is established.Secondly,the working principle and mathematical model of the main equipment in the regional integrated energy system are emphatically analyzed,and the off-design characteristics of the equipment are correspondingly studied.Finally,the operation optimization characteristics of integrated energy system,the key technologies of integrated energy system planning and operation optimization and the basic theory of multi-objective optimization are analyzed.Part Ⅱ:Construct bi-level optimization model of regional integrated energy system The research content includes four parts:Firstly,according to the key technologies of regional integrated energy system planning and optimization,an upper capacity planning model of regional integrated energy system based on energy cost and environmental cost is established;Secondly,according to the operation characteristics of the regional integrated energy system,thelower operation optimization model of the regional integrated energy system is established.Thirdly,according to the characteristics of the two-stage optimization model established in this paper,the solution method of the model is introduced.Finally,based on the system planning technology and operation characteristics,a bi-level optimization process of regional integrated energy is designed.Part Ⅲ:A regional integrated energy system project is selected for example analysis.The research content includes three parts:Firstly,aiming at minimizing the economic cost and environmental cost of the system,the system capacity allocation is optimized to obtain multiple sets of capacity allocation schemes of the system.Secondly,aiming at minimizing the operation cost of the system,the operation state corresponding to each planning scheme of the system is simulated.Finally,according to the operation cost,natural gas consumption,pollutant discharge and load supply capacity of the schemes in the second stage,the planning schemes in the first stage are compared,and the optimal capacity allocation scheme is finally determined,and the results include equipment type,equipment capacity,equippment quantity and total investment.