Research On Low-Carbon Service Communication Protocol And Polymorphic Routing Optimization For Smart Park

Smart park is an important part of the construction of smart cities and new power systems by making full use of new generation communication technologies such as artificial intelligence,big data,and industrial internet.They can realize real-time resource management such as renewable power sources,flexible loads,and energy storage systems.With the access of a large number of distributed energy devices,smart park network has diversified service forms and explosive growth of service data.Highefficient information interaction between devices as well as between device and service master station requires more advanced communication technology to support the reliable transmission of different service data.However,the currently used communication protocol is difficult to accept the exchange of data in other system formats and the amount of data supported by transmission is too small,which cannot meet the transmission requirements of low-carbon service in smart park;the explosive growth of services in the smart park has large differences in the Quality of Service(QoS)requirements such as queue backlog,BER,and throughput.The existing smart park route selection optimization methods face challenges such as poor adaptation to the differentiated QoS requirements of services,poor coupling with time synchronization,which seriously threaten the safe and stable operation of the smart park.This paper proposes a communication protocol for smart park joint low-carbon optimization operation.First,a low-carbon service information model of the smart park based on the common information model(CIM)is constructed.The deivce entity objects in the smart park are mapped to the CIM class accordingly,and the data application functions are abstracted into different classes to realize rapid data interaction.Secondly,the low-carbon service communication architecture of smart park based on DL/T 698.45 protocol is established,as well as the functions and characteristics of each layer of the architecture are explained.Finally,DL/T 698.45 protocol adapted to low-carbon services in the smart park is proposed,which is designed from three perspectives,namely object identification,data frame and transmission rules,to improve the amount of data of interaction between terminals and meet the requirements of information interaction between terminals and service master stations.On this basis,backprEssure and Q-Learning based timE synChronizaTionaware polymoRphic routIng protoCol(ELECTRIC)algorithm is proposed to minimize queue backlog and BER under the condition of time deviation threshold.Firstly,a timesynchronization aware polymorphic routing protocol architecture is established based on Software-defined Networking(SDN)technology,and a joint optimization problem of queue backlog and BER is constructed.Secondly,the problem of minimizing queue backlog is transformed into the problem of maximizing queue backlog difference based on the backpressure algorithm.Then,the concept of time deviation threshold is used to perceive time synchronization,and the dormant device of delayed wake up becomes active through time synchronization.Further,the optimal route strategy is learned based on local and historical information.The simulation results show that ELECTRIC can achieve good performance in queue backlog,BER,and throughput.