Research On Data Center Convergence Planning Considering Information Flow-Energy Flow

With the development of new power systems,the scale of power cyber-physical networks has grown rapidly.As a core component of cyber-physical systems,data centers,whose green and efficient energy supply is of great significance for low-carbon development.The data center is recognized as a high energy-consuming industry.Facing the increasingly severe climate change situation,it is necessary to optimize the energy supply and data processing mode of the data center on the premise of ensuring service quality.At the same time,with the further development of the power communication network,the data center,as the data processing unit of the power communication network,will carry more and more power communication services.Reasonable planning will affect the service quality,operating cost and information of the data center.The reliability and security of delivery have been greatly improved.In this context,this paper mainly conducts research on related issues from the following aspects:(1)The physical model of the data center information and energy supply system is constructed.Firstly,the data load characteristics of the power grid are classified,and a data response model of "input-classification-processing-output" is established for different types of loads,and a load time scheduling model considering the cost planning of the data center is established.According to the energy consumption characteristics of the data center,considering the power and room temperature equivalent thermal parameter model of the data center,an energy supply system including a waste heat recovery unit,a cogeneration unit,a refrigeration unit and an energy storage unit is established.(2)A joint capacity planning model of grid data center information layer and energy supply layer is proposed,which takes into account cost and service quality.Using the common energy exchange medium of the information layer and the energy supply layer—heat energy and electric energy,a cyber-physical energy exchange network with deep coupling of the information network and the cold-heat-electric integrated energy supply network is established.Combined with the coupling characteristics of information flow and energy flow in the system,aiming at improving the quality of information service and reducing the energy supply cost of the integrated energy supply network,a joint planning model of the information layer and the energy supply layer of the power grid data center is established.The calculation example results show that the capacity planning scheme proposed in this paper can take into account the service quality and investment and operation cost of the data center at the same time,improve the energy efficiency of the system,and provide a feasible solution for the joint capacity planning of the information layer and the energy supply layer based on the data center.(3)A planning strategy for grid data center location based on power layer-information layer joint planning theory is proposed.A weighted network topology based on the comprehensive importance of nodes is established by adopting the comprehensive evaluation method of cyber-physical system nodes considering the importance of power grid and information network nodes.Flow density,the information delay evaluation index and information density evaluation index are established.Finally,each node in the system is traversed and evaluated through the information delay evaluation index and the information density evaluation index to obtain the score of each node,and the node with the highest score is selected as the optimal DC address.The calculation example results show that the strategy described in this paper can effectively reduce the transmission time from high-importance nodes in the system to the data center and the density of high-importance data in the link,thereby improving the timeliness and reliability of the data center.-The DC site selection planning of the power layer provides a feasible solution.