Research On Optimal Dispatch Of Electricity-gas Integrated Energy System Considering Multiple Uncertainties Of Source And Loa

In recent years,with the development of renewable energy generation technology and the needs of environmental protection,more and more distributed energy is connected to the distribution network,its uncertainty has a greater and greater impact on the integrated energy system.In addition,with the development of economy and society,the factors affecting load uncertainty are also increasing.Therefore,how to ensure the stable operation of the integrated energy system has become the focus of many experts and scholars.Based on the consideration of the uncertain factors of the integrated energy system,this paper establishes the optimal scheduling model of the integrated energy system to improve the stability of the operation of the integrated energy system.Firstly,the integrated energy system and the uncertainty in integrated energy system are summarized,and the research framework of this paper is put forward.This paper introduces the mathematical model of common equipment output and the basic concepts of demand response in integrated energy system,which provides a theoretical foundation for this paper.Secondly,optimal dispatching model of electricity-gas integrated energy system considering the uncertainty of demand response is proposed.In order to reduce the uncertainty of demand response in system scheduling,the uncertainty variable of prediction error is introduced into the power balance equation,and the correlation chance programming theory is used to deal with the uncertainty variable in the power balance equation,which is transformed into the chance function of maximizing the probability of event establishment in uncertain environment.Through the priority algorithm in multi-objective programming,the multi-objective programming is transformed into single-objective programming,and the particle swarm optimization algorithm is used to solve the model.In this chapter,the feasibility and economy of the model are verified by simulation analysis of actual examples.Finally,in order to reduce the influence of source-load uncertainty on the stable operation of the system,a day-to-day optimal scheduling model based on Stackelberg game real-time pricing mechanism is proposed.In the day-ahead dispatching plan,the objective function of maximizing the daily operating income of comprehensive energy operators is established by using the dayahead forecast data,and the output plan of each unit for the next day is determined.In the intraday dispatching plan,a master-slave game model is established by using intra-day forecast data,taking integrated operators as decision makers and users as followers,taking the maximum income of integrated operators and the maximum satisfaction of users as objective functions,and considering the influence of wind power volatility on electricity price.By introducing the power correction penalty term of each unit into the intraday objective function and adjusting the dayahead real-time electricity price,the electricity demand of users in each period is guided,and the adjustment of the day-ahead output plan of each unit is reduced.Through the simulation analysis of an actual example,the day-to-day optimal scheduling model of integrated energy system based on Stackelberg game real-time pricing mechanism can improve the wind power consumption capacity of integrated energy system,thus improving the economic benefits of integrated operators and users and ensuring the stable operation of integrated energy system.