Research On Optimal Dispatch Of Non-cooperative Game In Integrated Energy System Considering Uncertainty

The development and application of integrated energy system can alleviate the environmental pollution,resource shortage and other crises brought by the traditional energy operation mode to a certain extent,but with the increasing proportion of renewable clean energy access system represented by wind power,the fluctuation of its output and the uncertainty of load demand will also have an impact on the operation of integrated energy system.At present,there are still some problems in the study of integrated energy system optimal scheduling,such as difficult to take into account the interests of each energy system,uncertain factors and so on.This paper takes the wind power integrated energy system as the research object.Firstly,starting from the typical structure of the integrated energy system,it analyzes the differences between the wind power integrated energy system and the traditional single energy system in operation,and analyzes the main coupling equipment in the system.Secondly,in view of the existing research on the optimal scheduling of integrated energy system only considers the overall interests,but neglects the problem of the distribution of interests of each energy system participating in the integrated energy system,a model of the optimal scheduling of integrated energy system considering the minimization of the cost of each energy system is established by using the theory of non cooperative game,in which the competition trend of the non cooperative game idea is satisfied among the energy systems Profit relations.In order to mitigate the impact of the uncertainties in the system and the difference of the energy time characteristics on the optimal dispatch results of the integrated energy system,the scenario analysis method is used to analyze the uncertainty of wind power output and load demand,and further combined with the model predictive control.Based on the foregoing scheduling model,the minimum cost of the coupling unit is taken as the objective,and a model based on the model is established.The model of model predictive control can reduce the influence of uncertain factors on the system scheduling results through the characteristics of rolling optimization and feedback correction.Finally,a modified IEEE30 node power system,a 10 node natural gas system and a 7 node thermal system are used to form an integrated energy system.The results verify the rationality of the day ahead scheduling and day scheduling model proposed in this paper,the economic efficiency of the coordinated optimization using coupling equipment,and the necessity of redistributing the benefits of various energy systems through non cooperative game theory.