Research On Optimal Scheduling Of Integrated Electricity-Gas System Based On Information Gap Decision Theory

With the expansion of the natural gas network and the popularization of gas-fired power generation and power-to-gas(P2G)applications,integrated electricity-gas system(IEGS)has been realized for large-scale and long-distance electric power and natural gas Coordinated operation is necessary.In the integrated electricity-gas system,wind power can effectively deal with energy problems and environmental problems,but wind power itself has strong randomness and volatility,resulting in a large number of wind abandonment phenomena.Moreover,with the continuous increase of load types and consumption,the load demand also shows greater uncertainty.Therefore,in view of the above problems,this paper conducts research from two aspects: one is to use information gap decision theory(IGDT)to deal with the uncertainty of wind power and load;the other is to improve the economy and flexibility of the integrated electricity-gas system through three means: power-to-gas,pumped storage power station,and demand side management(DSM).The main contents are as follows:First,research is carried out on the theoretical basis of the integrated electricity-gas system.The structural framework and mathematical model of the integrated electricity-gas system are analyzed.The operating principles and characteristics of the power-to-gas device and the pumped storage power station that improve the system performance on the energy supply side are given.A new method of dealing with uncertainty,information gap decision theory,is studied.Secondly,the optimal scheduling model of the integrated electricity-gas system based on the information gap decision theory is constructed.This model explores the effect of IGDT on the uncertainty of wind power and load in the integrated electricity-gas system on the one hand,and on the other hand analyzes the impact of the power-to-gas device and the pumped storage power station on wind power consumption.Through piecewise linearization,the model is transformed from mixed integer nonlinear programming to mixed integer linear programming.Based on the improved IEEE6-NG7 system,a simulation example is carried out.The simulation results verify that the IGDT scheduling model can obtain the comprehensive uncertainty under the premise of ensuring the expected scheduling cost,quantify the tolerance of the system to the uncertainty,and formulate the corresponding unit The dispatch plan also verified that the power-to-gas device and pumped storage power station can significantly increase wind power consumption.Finally,the IGDT scheduling model of the integrated electricity-gas system considering demand side management is established.In this model,demand side management adopts three methods: load reduction,transfer load and alternative load.At the same time,the minimum operating cost and the demand side management compensation cost are taken as the objective functions,and three constraints such as saturation,difference and comfort are considered.Numerical examples verify the effectiveness of the model,and show that demand-side management can improve wind power consumption during night load troughs,optimize load curves,and reduce system operating costs.