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Outage Detection in Partially Observable Distribution Systems using Smart Meters and Generative Adversarial Networks
[article]
2019
arXiv
pre-print
In this paper, we present a novel data-driven approach to detect outage events in partially observable distribution systems by capturing the changes in smart meters' (SMs) data distribution. To achieve this, first, a breadth-first search (BFS)-based mechanism is proposed to decompose the network into a set of zones that maximize outage location information in partially observable systems. Then, using SM data in each zone, a generative adversarial network (GAN) is designed to implicitly extract
arXiv:1912.04992v1
fatcat:atb5la2mkzflhivzlqrvz52diu