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Erschienen in:
2019 | OriginalPaper | Buchkapitel
12. Automatic Topology Identification with Intelligent Lighting Poles
verfasst von : Babak Ravanbach, Peter Klement, Benedikt Hanke, Karsten von Maydell
Erschienen in: Smart Cities/Smart Regions – Technische, wirtschaftliche und gesellschaftliche Innovationen
Verlag: Springer Fachmedien Wiesbaden
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Abstract
The street lighting network is currently used only for illumination. Future electricity demands at the low voltage (LV) network, for example, e-mobility, suggests using the existing network in a managed way for multiple applications. This management relies on detailed knowledge of the network topology, which is not always known due to untracked changes. Intelligent lighting poles capable of measuring and managing loads allow for topology identification. In this work, an automatic method for identification of LV networks topology is presented. The topology is detected by connecting test loads, while the measured voltage values are clustered via Jenks Natural Breaks method, and the topology is reconstructed with the algorithm. The procedure is evaluated with a PowerFactory model and showed to be a robust method. The method proves to identify the topology and suitable as input for energy management systems, enabling lighting networks to become a platform for smart city applications.