Research On Demand Response Of Microgrid Based On MPC

In recent years,with the rapid development of society,environmental problems and energy problems have become increasingly prominent,making full use of new energy become an inevitable choice.Microgrid including distributed generation,energy storage and load has the advantage of efficient use of new energy,so it has high attention in the current research.However,the output of wind,light and other new energy has great uncertainty,and it is difficult to accurately predict the output of the two,so how to solve the uncertainty and prediction error in microgrid becomes an important research content of the current optimization scheduling direction.At the same time,in the current research on demand response,the research object is mainly load resources,while there is less research on other potential demand side resources.Therefore,the application of generalized demand side resources such as distributed generation and energy storage system in microgrid optimal scheduling needs to be paid attention to.On the basis of expounding the background and significance of the topic,this paper summarizes the research on uncertainty and demand response at home and abroad.In view of the above problems,this paper has done the following research:(1)In order to solve the problem that the prediction error increases gradually with time,this paper proposes an intraday hierarchical scheduling strategy for microgrid based on model prediction.(2)In order to solve the problem of single demand side load dispatch without considering the value of other demand side resources,this paper proposes an intraday hierarchical scheduling method for microgrid considering generalized demand response based on the method described in(1).(3)In the strategies mentioned in(1)and(2),the optimization layer and the correction layer form an inner outer nested control structure to meet the real-time requirements,and each layer contains a complete model prediction and rolling optimization.In order to solve the problems of high complexity of traditional solving methods of rolling optimization model and the shortcomings of common algorithms in calculation speed,IWOA is used in this paper.