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Fault Detection and Monitoring in Secondary Electric Distribution Network Based on Distributed Processing

机译:基于分布式处理的二次配电网络故障检测与监控

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Inefficient fault management is one of the major challenges facing the only electrical utility company, the Tanzania Electric Supply Company to ensure safe, reliable and efficient power supply in the electrical Secondary Distribution Network (SDN). Currently, faults management processes from detection to clearance are performed manually and therefore inefficient. There have been initiatives by utility electrical company to automate faults clearance in the transmission and primary distribution parts of the network using SCADA and DMS, which are largely centralized. However, due to the complexity and ubiquitous nature of the SDN, automation is still challenging. This study proposes a distributed processing architecture for automatic faults detection and monitoring for the Tanzanian electrical SDN as it has been identified to fit well in network monitoring compared to the centralized approach. The proposed architecture consists of remote sensing units, distributed central processing units, central monitoring and communication platform. The architecture was implemented and tested in live network at UDSM-Kijitonyama Campus and found to work well.
机译:低效的故障管理是面临的唯一的电力公司的主要挑战之一,坦桑尼亚电力供应公司,以确保在电器二级分销网络(SDN)的安全,可靠,高效的电力供应。目前,故障管理处理从检测到的间隙被手动,因此效率低下进行。已经有按用途电器公司的举措在使用SCADA和DMS网络的传输和一次分配的部分,这在很大程度上集中自动故障清除。然而,由于复杂性和SDN的无处不在的特性,自动化仍然是具有挑战性的。这项研究提出了自动故障检测,因为它已经被认定为网络,以适应以及监测坦桑尼亚电SDN分布式处理架构监测相比集中式方法。所提出的架构由远程感测单元,分布式中央处理单元,中央监控和通信平台的。该架构被实施,在UDSM-Kijitonyama校园网络直播测试,发现工作得很好。

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