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Electrical islanding detection based on the integration of synchronized phasor measurements

机译:基于同步相量测量的集成的电气岛屿检测

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Detecting unintentionally formed electrical islands is an important capability for operating power systems that include increasingly higher rates of renewable energy. In turn, evolving international standards for the interconnection of renewable energy sources set the stage for a race to detect electrical islands as quickly as possible. In order to win such a race, islanding detection methods must overcome significant technical challenges, including the accurate capture of massive streaming data, rapid signal processing, and the application of complex algorithmic functions. In addition, speed is not the sole determining factor of success, as detection methods must also be adequately sensitive to identify islanding events under a range of conditions, and stable against false identification during conditions similar to islanding. In response, our research explores a synchrophasor analytics system for archipelagos, which utilizes synchronized phasor measurement units to gather more robust data from electric power signals. In maximizing the utility of such measurement tools, the synthetic logic of signal processing requires careful calibration. This includes filtering the raw power signal effectively while preserving higher-order harmonics for analytic applications. In addition, systematically organizing various islanding detection techniques into a clear ontological framework helps to guide the development of optimal combinatorial detection schemes.
机译:检测无意形成的电岛是操作电力系统的重要能力,包括越来越高的可再生能量率。反过来,不断发展的国际可再生​​能源互联的国际标准设定了竞赛阶段,以尽快检测电气岛屿。为了赢得这样的比赛,岛屿检测方法必须克服显着的技术挑战,包括准确捕获大规模流数据,快速信号处理和复杂算法功能的应用。此外,速度不是成功的唯一确定因素,因为检测方法也必须足够敏感,以确定在一系列条件下的岛屿事件,并且在类似于孤岛的条件下对错误识别稳定。作为响应,我们的研究探讨了群体的同步素分析系统,它利用同步相位测量单元从电力信号收集更强大的数据。在最大化这种测量工具的效用方面,信号处理的合成逻辑需要仔细校准。这包括有效地过滤原始功率信号,同时保留用于分析应用的高阶谐波。此外,系统地将各种岛屿检测技术组织成明确的本体框架有助于引导最佳组合检测方案的发展。

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