Research On Deployment Of Smart Meter In Ubiquitous Power Internet Of Things

Ubiquitous power Internet of Things,also known as smart grid,is a modern power grid based on integrated high-speed two-way communication network,which uses information and communication technology,control methods and advanced decision support system technology to collect and process information and improve the efficiency,reliability,economy and sustainability of power generation,transmission and distribution.Smart grid includes not only the interconnection of electric energy but also the interconnection of information.Therefore,the importance of communication technology to support the information flow of smart grid is self-evident,and it is necessary to design a reasonable networking architecture to alleviate the communication burden of large networks.The communication between smart meters and data concentrators is large-scale inter-machine communication,The continuous expansion of smart grid scale and the continuous improvement of intelligent degree limit the number and coverage area of devices supported by a single data concentrator,and it is also the bottleneck hindering the deployment of massive smart meters,so higher requirements are put forward for the design of large-scale inter-machine communication system.In smart grid,in addition to the periodic transmission of grid basic data,it will also generate burst data for reporting and early warning of grid anomalies,so the designed model needs to deal with the coexistence of multiple types of data scenarios.In view of the above scenarios,this paper firstly proposes a dual-type data model for unauthorized random access of smart grid,including periodic data and event-driven data,and theoretically derives a closed-form expression of transmission success rate.Two types of deployment problems are proposed: solving the maximum number of devices that can be supported in a fixed area and solving the maximum coverage area of base stations with fixed device density.For two kinds of problems,the corresponding algorithms based on dichotomy are given.The simulation results give the solution of the deployment problem with two types of data,and can provide guidance for the actual network deployment.Aiming at the problem that the transmission success rate of some electric meters is reduced due to the weak signal at the receiving base station,the power control and data retransmission methods are introduced into the transmission scheme.The closedform expression of transmission success rate under four different transmission schemes is derived,which are: 1)baseline scheme without power control and data retransmission;2)There is power control but no data retransmission;3)There is data retransmission but no power control;4)There is data retransmission and power control.Two types of deployment problems are proposed: solving the maximum number of devices that can be supported in a fixed area and solving the maximum coverage area of base stations with fixed device density.Aiming at the first kind of deployment problem,an algorithm based on dichotomy and golden section search is proposed to reduce the complexity of solving the problem.Aiming at the second kind of deployment problem,an algorithm based on dichotomy is proposed to solve the problem.Simulation results show that power control and data retransmission can greatly increase the number and coverage area of smart meters supported by base stations,and better solve the deployment problem of smart meters.