Fault resilient communication network architecture for monitoring and control of wind power farms

Shahid Hussain, Young-Chon Kim
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引用次数: 7

Abstract

Real time monitoring and control of wind power farm (WPF) require a highly reliable communication network infrastructure. The monitoring and control can be guaranteed through the communication network by using redundant resources and ensuring quality of service (QoS) for different applications. In this paper, we study and simulate fault-resilient network architecture for monitoring and controlling of WPF. First, communication network topologies are explored. Then we propose a fault-resilient communication network architecture which consists of three different levels: (1) data generation level, (2) data aggregation level, and (3) control center level. Each level is defined by its function, physical location, network topology, communication link bandwidth, redundant nodes, and links. In accordance to IEC 61400-25 standard, the monitoring traffic of wind turbine is classified into critical and non-critical data according to the required QoS. Due to low cost, non-proprietary standard, and guaranteed real-time services, the Ethernet technologies are currently used in various industrial applications. Several network failure scenarios based on Ethernet technology are used to simulate the network architecture through OPNET. The performance of the network architecture is evaluated on the basis of the amount of received data, end-to-end delay, and data loss at control center. The simulation results show that the communication network architecture can guarantee the transmission of WPF critical data.
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用于风电场监测与控制的故障弹性通信网络体系结构
风力发电场的实时监测和控制需要一个高度可靠的通信网络基础设施。通过通信网络,利用冗余资源,保证不同应用的服务质量(QoS),实现监控。本文研究并模拟了用于WPF监测与控制的故障弹性网络结构。首先,探讨了通信网络拓扑结构。然后,我们提出了一种故障弹性通信网络体系结构,该体系结构由三个不同的层次组成:(1)数据生成层,(2)数据聚合层和(3)控制中心层。每个级别根据其功能、物理位置、网络拓扑、通信链路带宽、冗余节点和链路进行定义。根据IEC 61400-25标准,根据所要求的QoS,将风电机组的监控流量分为关键数据和非关键数据。以太网技术具有成本低、标准非专有、实时性好等优点,目前已广泛应用于各种工业领域。采用基于以太网技术的几种网络故障场景,通过OPNET对网络体系结构进行仿真。网络架构的性能是根据接收数据量、端到端延迟和控制中心的数据丢失来评估的。仿真结果表明,该通信网络架构能够保证WPF关键数据的传输。
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