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首页> 外文会议>IEEE International Conference on Advanced Power System Automation and Protection >Assessment of Data Flow Control Methods and their Performance on IEC61850 based Digital Substation
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Assessment of Data Flow Control Methods and their Performance on IEC61850 based Digital Substation

机译：基于IEC61850的数字变电站的数据流控制方法及其性能评估

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Data flow control methods are deployed to avoid network traffic congestion and achieve the best data flow maximizing reliability and availability performance of the IEC 61850 based digital substation These methods include First in First out (FIFO), Priority Queuing (PQ), and Weighted Fair Queuing (WFQ). This paper presents the substation automation system (SAS) performance evaluation and comparison studies for these three different data flow control methods. A National Grid (NG) typical 400kV substation is simulated by using OPNET Modeler, communication network simulation software. Three different data flow control methods are applied to the process bus and station bus in the substation respectively. The message (i.e. SV, GOOSE, MMS) delay, packet loss probability, and other network performance are investigated and analysed under different case scenarios. Results shows PQ control method has the best performance respect to time critical messages during the feeder fault conditions, followed by WFQ, and FIFO respectively. In addition, PQ has a smaller network delay than WFQ and FIFO. However, some packets with lower priority class can be delay even lost under traffic queuing condition. Therefore, the simulation results can be used to help power utilities and industries to improve and achieve the data flow management, also for substation expansion in the future.
机译：部署了数据流控制方法来避免网络流量拥塞，并获得最佳数据流，从而最大限度地提高基于IEC 61850的数字变电站的可靠性和可用性。这些方法包括先进先出（FIFO），优先级排队（PQ）和加权公平排队（WFQ）。本文介绍了这三种不同的数据流控制方法的变电站自动化系统（SAS）性能评估和比较研究。使用通信网络仿真软件OPNET Modeler对国家电网（NG）典型的400kV变电站进行仿真。三种不同的数据流控制方法分别应用于变电站中的过程总线和站总线。在不同情况下会调查和分析消息（即SV，GOOSE，MMS）延迟，丢包概率和其他网络性能。结果表明，在馈线故障情况下，PQ控制方法在时间关键消息方面具有最佳性能，其次是WFQ和FIFO。此外，PQ的网络延迟比WFQ和FIFO小。但是，某些优先级较低的数据包甚至可能在流量排队条件下被延迟甚至丢失。因此，仿真结果可用于帮助电力公司和行业改善并实现数据流管理，也可用于将来的变电站扩展。

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