Research On The Transaction Strategy Of Virtual Power Plant In The Ubiquitous Power Internet Of Things

With the opening of power market and the wide application of distributed energy,there are more and more types and quantities of equipment connected to the power grid,and the information interaction and management between equipment subjects are more and more complex.Under this background,State Grid Corporation of China proposes to build ubiquitous power Internet of things,and virtual power plant with "communication" and "aggregation" as the core is the typical application of ubiquitous power Internet of things,which has great development potential.At the same time,the construction of ubiquitous power Internet of things promotes the development and application of edge computing technology.In order to adapt to edge computing,the research of distributed optimization is necessary.In this paper,the virtual power plant is taken as the research object.Under the background of power Internet of things,the power market transaction problems such as output declaration and operation scheduling of virtual power plant are studied and solved through distributed optimization.The main research contents and achievements of this paper are as follows:Firstly,the virtual power plant architecture which adapts to ubiquitous power Internet of things is introduced.This paper analyzes the architecture of virtual power plant and the internal relationship between ubiquitous power Internet of things and virtual power plant,expounds the application advantages of ubiquitous power Internet of things in virtual power plant,and emphasizes that the construction of ubiquitous power Internet of things provides reliability guarantee for distributed optimization of virtual power plant.Aiming at the economic optimization problem of virtual power plant output declaration,a virtual power plant output declaration model under the scenario of power purchase and sale joint transaction of main energy market and peak clipping contract market is constructed.Based on the market-based control theory,the distributed solution strategy of each member of virtual power plant is deduced.Through the edge calculation of bidding curve of local controller and the clearing of "supply and demand" of virtual market,the distributed optimization of output declaration transaction is realized,and the rationality of the solution strategy is verified by simulation.Aiming at the economic optimization problem of virtual power plant operation and dispatching,based on the output declaration scheme and peak cutting contract,a virtual power plant operation and dispatching model is constructed to simultaneously assess the output deviation and peak cutting contract performance,and the distributed optimization solution based on the market-based control theory is realized.The example results show the specific operation scheduling strategy of virtual power plant and its implementation effect under the fluctuation of real-time electricity price and wind and light output,and analyze the impact of output deviation constraints on the economic benefits of operation scheduling.Aiming at the problem of power consumption satisfaction in operation scheduling,a virtual power plant operation scheduling model with the constraint of average shift of flexible load working period is constructed,and the original optimization problem is decoupled by the auxiliary problem principle,and the distributed parallel optimization solution based on the edge iterative calculation of controller is realized.The result of the example shows that the guarantee of the power consumption satisfaction of the flexible load needs to sacrifice part of the economic benefits.Under the background of ubiquitous power Internet of things,this paper optimizes the output declaration and operation scheduling of virtual power plant,which is of great significance to the study of transaction strategy of virtual power plant and the application of edge computing.