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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:效率低下故障管理是坦桑尼亚电源公司唯一电气公用事业公司面临的主要挑战之一,以确保电气二次分销网络(SDN)安全,可靠,高效的电源。目前,故障管理过程从检测到间隙都是手动执行的,因此执行效率低效。本实用电气公司已经有举措,以自动使用SCADA和DMS在网络的传输和主要分配部分中自动清除,这在基本上集中。然而,由于SDN的复杂性和无处不在的性质,自动化仍然具有挑战性。本研究提出了一种用于自动故障检测和监测的分布式处理架构,用于坦桑尼的电气SDN,因为它被识别到与集中方法相比符合网络监控的良好。所提出的架构包括遥感单元,分布式中央处理单元,中央监控和通信平台。该架构在UDSM-Kijitonyama Campus的实时网络中实现和测试,发现良好工作。

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