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Inferring power fluctuations at a low voltage transformer from local voltage measurements in the underlying distribution grid

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Computer Science - Research and Development

Abstract

The incremental deployment of small scale stochastic generators has a significant impact low voltage grids. We investigated the applicability of local voltage measurements at household sockets as predictors of the power at the low voltage branch of the transformer. The general goal is to evaluate the feasibility of a decentralized demand-side control algorithm using local voltage as the regulation input. In this paper we introduce the approach adopted by our study and describe the experimental results, which demonstrate the possibility of using a local voltage measurement as an input signal for decentralized control.

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Acknowledgments

We thank Alessandro Giusti, Matteo Salani and other members of the Dalle Molle Institute for Artificial Intelligence (IDSIA) at USI and SUPSI for their valuable contributions. This work has been sponsored by the Swiss Federal Office of Energy, Swisselectric Research, Azienda Elettrica Ticinese (AET), Aziende Industriali Mendrisio (AIM) and the Future Swiss Electrical Infrastructure (SCCER FURIES).

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Authors and Affiliations

  1. Institute for Applied Sustainability to the Built Environment, University of Applied Sciences and Arts of Southern Switzerland, Canobbio, Switzerland

    Vasco Medici, Davide Rivola & Roman Rudel

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  1. Vasco Medici
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  2. Davide Rivola
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  3. Roman Rudel
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Correspondence to Vasco Medici.

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Medici, V., Rivola, D. & Rudel, R. Inferring power fluctuations at a low voltage transformer from local voltage measurements in the underlying distribution grid. Comput Sci Res Dev 31, 73–77 (2016). https://doi.org/10.1007/s00450-014-0284-6

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  • DOI: https://doi.org/10.1007/s00450-014-0284-6

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