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A decentralized and self organizing architecture for wide area synchronized monitoring of smart grids

机译:用于智能电网的广域同步监视的分散式和自组织架构

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Synchronized Wide-Area Monitoring Systems (WAMS) involve the use of power system-wide measurements to avoid large disturbances and reduce the probability of catastrophic events. In these systems a large volume of raw data is collected by distributed sensors and sent to central servers for post processing activities. Many research works conjectured that this hierarchical monitoring paradigm could be not affordable in addressing the increasing network complexity and the massive data exchanging characterizing modern smart grids. Unaffordable complexity, hardware redundancy, network bandwidth and data storage resources are the main barriers imposed by technology and costs. Moreover, in WAMS the global absolute time reference for sensors synchronization is typically obtained by satellite-based timing signals processing. Since these signals are extremely vulnerable to radiofrequency interference (i.e. cyber-attacks), effective countermeasures aimed at increasing the resilience of synchronized WAMS to external and internal interferences need to be designed. In trying and addressing these challenges, in this paper the role of decentralized consensus protocols for decentralized and synchronized wide area smart grids monitoring is analyzed.
机译:同步广域监视系统(WAMS)涉及整个电力系统的测量,以避免大的干扰并减少灾难性事件的可能性。在这些系统中,分布式传感器收集了大量原始数据,并将其发送到中央服务器以进行后处理活动。许多研究工作推测,这种层次化的监视范式在解决日益增长的网络复杂性和表征现代智能电网的海量数据交换方面可能负担不起。难以承受的复杂性,硬件冗余,网络带宽和数据存储资源是技术和成本带来的主要障碍。此外,在WAMS中,通常通过基于卫星的定时信号处理来获得用于传感器同步的全局绝对时间参考。由于这些信号极易受到射频干扰(即网络攻击)的影响,因此需要设计有效的对策,以提高同步WAMS对外部和内部干扰的适应性。在尝试和应对这些挑战时,本文分析了分散共识协议在分散和同步广域智能电网监控中的作用。

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