| Power demand response has developed rapidly in China in recent years,which is one of the important means to promote the new energy consumption and meet safe and stable operation of power grid.At present,with a large number of loads and electric equipment infiltrating into the power grid,the current communication protocols and information transmission scheduling methods in the power communication network are not enough to support the high-intensity friendly interaction between large-scale users and the grid.It is difficult to meet the quality of service requirements of future demand response services in the aspects of real-time and reliability during the information transmission,which hinders the large-scale promotion of demand response services.Based on the above problems,this paper studies the optimization strategies of communication transmission for power demand response service.Firstly,the research status of demand response development,information interaction bearing mechanism,and the guarantee of service quality are analyzed in detail.Based on the research on the key technologies of domestic demand response services communication transmission,the problems of the demand response service bearer mechanism and the service quality requirements of different types of services are analyzed.At the same time,according to the data flow characteristics,delay requirements,bit error rate and other characteristics of various demand response services,demand response services are divided into four different priorities.Secondly,Aiming at the problems of the demand response service bearer mechanism,this paper proposes a communication architecture that uses the lightweight CoAP protocol instead of the HTTP protocol to carry the demand response services in the communication network near the user side.At the same time,in order to improve the congestion control performance of CoAP protocol and the applicability of CoAP protocol in demand response communication,this paper proposes a method that can dynamically and adaptively perform congestion control according to the real-time load status of the communication network.It can cope with problems such as high concurrency business data flow congesting the communication network when demand response is performed during peak power consumption periods,and affecting transmission reliability and real-time performance.Finally,in order to guarantee the quality of service of the demand response business communication transmission,a demand response business flow model is established and transmission delay characteristics are analyzed under the communication architecture based on the optimized demand response service bearer mechanism.Based on this,a communication queue scheduling strategy using fuzzy control theory to optimize the weighted fair queue scheduling algorithm is proposed.This algorithm can dynamically adjust the queue weight according to the real-time indicators of network monitoring,which is effective in ensuring the quality of service requirements of various DR services.The performance has been verified in the communication network simulation environment built by OMNeT++software. |
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