In a power distribution network with energy storage systems (ESS) and advanced controls, traditional monitoring and protection schemes are not well suited for detecting anomalies such as malfunction of controllable devices. In this work, we propose a data-driven technique for the detection of incidents relevant to the operation of ESS in distribution grids. This approach leverages the causal relationship observed among sensor data streams, and does not require prior knowledge of the system model or parameters. Our methodology includes a data augmentation step which allows for the detection of incidents even when sensing is scarce. The effectiveness of our technique is illustrated through case studies which consider active power dispatch and reactive power control of ESS.

中文翻译：

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配电系统中的数据驱动事件检测

在具有储能系统（ESS）和高级控件的配电网络中，传统的监视和保护方案不太适合检测异常情况，例如可控设备的故障。在这项工作中，我们提出了一种数据驱动的技术，用于检测与ESS在配电网中运行有关的事件。这种方法利用了传感器数据流之间观察到的因果关系，并且不需要系统模型或参数的先验知识。我们的方法包括一个数据增强步骤，即使在感应不足的情况下，也可以检测到事件。通过案例研究说明了我们技术的有效性，其中案例研究考虑了ESS的有功功率分配和无功功率控制。