Abstract
The emergence of new electricity and energy systems opens the way to novel reliability monitoring and maintenance planning strategies. In smart grids, the increased connection between various power systems enables a resilient grid operation. Similarly, the proliferation of data sources across the grid creates opportunities for a more accurate maintenance planning with up-to-date information of degrading assets and operational information of system performance. In this context, this paper presents a dependability and energy aware asset management framework for an improved maintenance planning of power assets in smart grids through dependability, energy, prognostics and forecasting models. The benefits of the proposed approach are demonstrated with a case study inspired from smart grids.
This research has been funded by the Spanish Ministry of Science, Innovation and Universities - Spanish Research Agency and ERDF (RTC-2017-6349-3).
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Aizpurua, J.I., Garro, U., Muxika, E., Mendicute, M., Gilbert, I.P. (2019). Towards Dependability and Energy Aware Asset Management Framework for Maintenance Planning in Smart Grids. In: Papadopoulos, Y., Aslansefat, K., Katsaros, P., Bozzano, M. (eds) Model-Based Safety and Assessment. IMBSA 2019. Lecture Notes in Computer Science(), vol 11842. Springer, Cham. https://doi.org/10.1007/978-3-030-32872-6_13
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