| Energy is the driving force to promote industrial development and social progress.With the rise of the Energy Internet,people have paid more and more attention to the efficient and comprehensive utilization of energy.Power networks and natural gas networks are two of the most important energy networks in modern energy systems.Gas turbine and power-to-gas(P2G)technologies enable bidirectional flow of energy between the power grid and the natural gas grid.As the main unit of multi-energy comprehensive utilization,the energy hub realizes the coupling between different energy networks and has the advantages of multi-energy complementation.Various types of flexible loads can also participate in the demand response of the energy hub.Therefore,modeling and analyzing energy hubs and multi-energy networks,considering the participation of flexible loads are of great significance for promoting the deep integration of multi-energy networks,and promoting the establishment of a safe,economical,clean and efficient future energy system.This paper introduces the overview of energy hub,and establishes an energy hub model including combined heat and power(CHP),P2 G,electric boiler,gas boiler,wind power and various energy storage.Electricity,gas,heat and other flexible load are considered as the demand side response resources.Then based on the time-of-use electricity price and gas price,considering the two goals of economy and environmental protection,a multi-objective integrated optimization model of energy hub is constructed.The normal boundary intersection(NBI)method is used to solve the problem and the TOPSIS method is used to choose the compromise solution and provide specific strategies for energy hub's operation.Finally,a small energy hub test system is used to operate in four different scenarios.The results show that: P2 G,energy storage and flexible load participation in scheduling can not only improve the energy hub's ability of wind power accommodation,but also reduce economic costs and carbon emissions.This paper summarizes the power network model,the steady-state airflow model of natural gas network,and the location marginal price based on DC power flow.The basic theory of bi-level optimization is introduced.Then,bi-level optimization model is established,whose high level is to minimize the operation cost of energy networks,and the lower level is to minimize the operation cost of each energy hub.And the impacts of various types of flexible load are also considered.Finally,a multi-energy network composed of four-node energy hub is used as the testing system.And the optimization scheduling model is solved by using MATLAB and GAMS,in order to verify the feasibility of the bi-level optimal scheduling strategy.By comparing the optimization results under two scenarios,concluded that the participation of flexible loads in demand response can not only reduce the operating costs of energy hubs and energy networks,but also ensure the safe operation of power systems and natural gas networks during peak load. |
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