| With the advocacy of clean energy,energy conservation and emission reduction policies and the development of energy storage,new energy generation and other technologies,large-scale natural gas,energy storage systems,electric vehicles(EV)and other new energy resources are connected to the power grid,forming a multi energy interconnected coupling system with power as the core.However,the operation strategy,coupling mechanism and uncertainty of multi energy resources affect the security and reliability of power system.Therefore,the research on the reliability model and algorithm of the multi energy interconnection coupling system including natural gas,energy storage system,EV and other new energy resources has important theoretical guidance significance and practical application value for the planning,design and operation of the multi energy interconnection coupling system.Based on this,this paper relies on the National Natural Science Foundation of China(No.51607051)"Research on risk assessment and optimization of active distribution system considering demand response" project and the National Key Laboratory Open Foundation of China(No.LAPS18011)"Research on energy Internet reliability considering multiple demand side resources" project,the reliability model of natural gas transmission and distribution network,the charging and discharging model of energy storage system and the charging and discharging model of EV are studied in depth.The main contents of this paper are as follows:(1)Research on the EV charging load model based on the time-of-use(TOU)mechanism.Based on the influence factors of EV charging load and historical driving data,the charging behavior model of EV is established,and the simulation algorithm of EV charging load based on Monte Carlo method is proposed;the time division model is established,and the equal step enumeration iterative technology is used to solve the model;the influence of TOU mechanism on the charging behavior of EV users is analyzed,and then the TOU mechanism of EV user response model is generated.The model and algorithm are validated by EV data,and the results show that the orderly charging behavior of EV under the TOU mechanism has the effect of peak load reduction and valley filling,which lays a theoretical foundation for proposing the strategy and model of EV V2 G participating in system demand management.(2)Reliability study of gas electric coupling system considering uncertainty of natural gas transmission and distribution network system.The characteristics of natural gas transmission and distribution network system is analyzed,and a reliability evaluation model of natural gas transmission and distribution network based on state transfer equivalent technology is put forward.The analytic technology is used to enumerate all failure events of natural gas transmission and distribution network system and the probability is calculated;the unreliability of natural gas transmission and distribution network system is transferred to the power generation failure state of gas turbine,and then the reliability model of natural gas transmission and distribution network is established;the non-sequential Monte Carlo simulation method is used to sample the failure events of gas electric coupling system,and the reliability evaluation model of gas electric coupling system with consideration the uncertainty of natural gas transmission and distribution network is established,and the validity and feasibility of the model are verified by an example..(3)Reliability study of multi energy interconnected coupling system considering demand management.The model of each component of the multi energy interconnection coupling system is established,including wind power output model,energy storage system charging and discharging model and EV charging and discharging model;based on the difference of peak and valley period,the paper puts forward the charging and discharging strategies of energy storage system and EV V2 G,and then establishes the demand management model of multi energy interconnection coupling system;puts forward the system reliability evaluation algorithm based on pseudo analytic sampling technology,and evaluates the reliability level of multi energy interconnection coupling system.The model is applied to the RBTS reliability test system.The example shows that the energy storage system and the EV V2 G can balance the peak and valley load of the system and improve the reliability of the system. |
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