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-SDN: Micro Cloud-Software Defined Network Testbed for Onshore Wind Farm Network Recovery

机译:-SDN:陆上风电场网络恢复的微云软件定义的网络测试平台

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Wind power has become one of the leading clean and inexhaustible power sources of today's electricity generation. Wind turbines are significantly evolving with tremendous benefits, resulting in remarkable demand of installing and establishing new wind farms. One of the central dilemmas that face wind turbine is the unplanned downtime that considered to be one of the main revenue-loss factors of a modern wind farm [1]. In a medium scale wind farm, the sensor fiber network is subject to fail due to the harsh environment leading to corruption of the signals used for condition monitoring. Due to the reasons above, the wind turbine is subject to be shut down because of not received sensor data via the wind turbine health monitoring system. Additionally, the shutdown mostly is not required since there are no high threshold sensor values that are related to stress on specific turbine hardware. Thus, in this paper, we propose a software-defined Network (SDN) quadcopter system that is based on a cloud testbed cluster as an immediate fail-over recovery system for faulty sensors to provide continuous sensor readings with no interruptions. Our proposed system helps in preventing the unnecessary shutdown of a wind turbine which will result in continuous revenues with no losses and reduce any power shortage overhead that may affect the power grid. The SDN controller is virtualized on the cluster with full topology management on sensor nodes. We have used Real-time wind turbine sensor data to simulate the failure scenario and, extensive testing showed the reliability of our proposed SDN testbed to assess the wind turbine condition and to maintain continuous power generation.
机译:风力已经成为当今发电的主要清洁和取之不尽的能源之一。风力涡轮机正在飞速发展,并带来巨大收益,导致安装和建立新风电场的需求异常巨大。风力涡轮机面临的中心难题之一是计划外停机,这被认为是现代风电场的主要收入损失因素之一[1]。在中等规模的风电场中,传感器光纤网络会因恶劣的环境而失效,从而导致用于状态监视的信号损坏。由于上述原因,由于未通过风力发电机组运行状况监视系统接收到传感器数据,因此风力发电机组将被关闭。另外,由于不存在与特定涡轮机硬件上的压力相关的高阈值传感器值,因此大多数情况下不需要关机。因此,在本文中,我们提出了一种基于云测试平台群集的软件定义网络(SDN)四轴飞行器系统,该系统可作为故障传感器的即时故障转移恢复系统,以提供不间断的连续传感器读数。我们提出的系统有助于防止风力发电机组不必要地关闭,从而避免造成不必要的连续收益,并减少可能影响电网的任何电力短缺开销。 SDN控制器在群集上虚拟化,并在传感器节点上进行全面的拓扑管理。我们使用实时风力涡轮机传感器数据来模拟故障情况,并且广泛的测试显示了我们提出的SDN测试平台的可靠性,该评估台可以评估风力涡轮机状况并保持连续发电。

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