Coordinated Planning Of Source-network-load-storage In Regional Multi-energy System Based On Energy Hub

As the goal of “carbon peak and carbon neutrality” is proposed,the large-scale development and utilization of clean energy such as wind power and photovoltaics has become a hot research topic.As a more efficient and flexible energy supply method,the multi-energy system is an effective way to improve energy efficiency and achieve emission reduction.At present,regional multi-energy systems are gradually being built and closely interconnected.The existing multi-energy system planning methods urgently need to solve the problem of coordinated vertical source-network-load-storage planning.Based on the background,this paper takes the electricity-gas-heat coupled regional multi-energy system as the research object,and conducts the energy hub(EH)modeling method,stochastic fuzzy power flow calculation,and source-network-load-storage coordinated planning in the system.The main research work is as follows:1.The stochastic fuzzy theory and the stochastic fuzzy model in multi-energy systems are studied.The uncertainty relationship between the source side and the load side is described through the stochastic fuzzy theory,and the stochastic fuzzy model of wind power and electricity,gas and heat load is established.On this basis,a standard mathematical model of the internal EH of a multi-energy system containing energy storage equipment is established.2.A stochastic fuzzy power flow model and its calculation method for multi-energy systems are proposed.Firstly,the power flow of the power grid,gas network,and heating network is modeled separately.Based on the decomposition method to solve the power flow model of each subsystem,a stochastic fuzzy power flow solution algorithm based on the fuzzy semi-invariant method is proposed.Energy system optimization planning provides basis for power flow calculation.3.This paper proposes a single-region multi-energy system source-network-load-storage collaborative planning model based on multi-level planning.The upper,middle,and lower levels take the planning cost,operating cost,frequency modulation cost,and frequency fluctuation minimum of the multi-energy system as the objective functions,respectively.Taking into account the incentive demand response,the equipment investment constraints and operation constraints of the electricity,heat,and gas networks are fully considered,and the linear three-level programming algorithm is used to solve the model.4.On the basis of the single-region planning,a multi-region and multi-energy system collaborative planning model based on multi-level planning that takes into account the energy interaction between regions is established.The model considers the interconnection relationship between different systems,and the multi-region collaborative planning is built.The model adopts ADMM distributed algorithm for joint decentralized solution.The power flow model and the single regional planning model are tested by a multi-energy system example coupled with a modified IEEE39-bus power system,a 14-bus natural gas system and a 14-bus thermal system.The multi-regional planning model is tested through a multi-regional system example formed by the interconnection of three regional multi-energy systems.The solution results verify the effectiveness and economy of the proposed model and method.All in all,the regional multi-energy system source-network-load-storage coordinated planning model and solution method based on the energy hub provide new ideas and directions for solving the planning problems of multi-energy systems.