Intelligent Power Distribution Communication Network QoS Strategy And Performance Analysis

With the intelligence of grid and the accessing of distributed energy, tremendous changes in higher demands of real-time and reliability happened to the service of the distribution grid communication network. If the quality of service of distribution grid communication network can not be guaranteed, the regular running of the entire grid will be directly affected. Therefore, it is of great significance to do further research on QoS performance in distribution grid communication network.Firstly, the general architecture of the distribution grid communication network was discussed in this paper and a detail analysis of the function of various subsystems of the architecture was carried. Under the support of this architecture, further summary and analysis of sources of data flows, real-time and reliability requirements of the various services in the distribution grid communication network was did.Secondly, for the intelligence of grid and automation of distribution communication system resulting in rapid increasing of data flows, in order to ensure the efficient transmission of all kinds of services, a QoS schedule based on differentiated service was proposed for distribution grid communication network and each module of this schedule was mathematically modeled in this paper. According to the various requirements of delay, bandwidth, reliability of services in distribution grid communication network, a corresponding QoS schedule was proposed for each service and was simulated using OPNET. In experiment, the end-to-end delay and throughput of distribution grid communication network before and after adopting the QoS was compared and analyzed. In addition, the delay and throughput of each class of services with different PHB was simulated. The results show that after adopting the QoS schedule, the communication delay was greatly reduced, network throughput was greatly improved and the real-time and bandwidth requirements were guaranteed.Thirdly, for the self-similar property of traffic flow in IP network, which would seriously affect the transmission reliability of distribution grid communication network, fractal shaper was introduced for the control of aggregating flow in substation router. Deterministic Network Calculus was introduced to analyze the relationship between delay bound, backlog bound, effective bandwidth and self-similar parameter H, weight W, and was simulated using MATLAB. However, for the drawbacks of Deterministic Network Calculus, Stochastic Network Calculus was introduced to analyze the relationship between delay stochastic bound,backlog stochastic bound and self-similar parameter H, and was simulated using MATLAB. The results show that the fractal shaper has the advantage for the control of self-similar traffic that ordinary leaky bucket can not match. It also indicates that the Network Calculus theory is a simple but efficient mathematical tool for the QoS performance analysis.