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A Novel Central Voltage-Control Strategy for Smart LV Distribution Networks

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Data Analytics for Renewable Energy Integration (DARE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9518))

Abstract

With the inclusion of Information and Communication Technology (ICT) components into the low-voltage (LV) distribution grid, some measurement data from smart meters are available for the control of the distribution networks with high penetration of photovoltaic (PV). This paper undertakes a central voltage-control strategy for smart LV distribution networks, by using a novel optimal power flow (OPF) methodology in combination with the information collected from smart meters for the power flow calculation. The proposed strategy can simultaneously mitigate the PV reactive power fluctuations, as well as minimize the voltage rise and power losses. The results are very promising, as voltage control is achieved fast and accurately, the reactive power is smoothed in reference to the typical optimization techniques and the local control strategies as validated with a real-time simulator.

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Author information

Authors and Affiliations

  1. Institute of Energy Conversion and Storage, University of Ulm, Ulm, Germany

    Efrain Bernal Alzate, Qiang Li & Jian Xie

Authors
  1. Efrain Bernal Alzate
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  2. Qiang Li
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  3. Jian Xie
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Corresponding author

Correspondence to Efrain Bernal Alzate .

Editor information

Editors and Affiliations

  1. Electrical Eng. & Computer Science, Masdar Inst Science & Technology, Abu Dhabi, United Arab Emirates

    Wei Lee Woon

  2. Electrical Eng. & Computer Science, Masdar Inst. of Science &Technology, Abu Dhabi, United Arab Emirates

    Zeyar Aung

  3. MIT Sloan School of Management, CAMBRIDGE, Massachusetts, USA

    Stuart Madnick

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Alzate, E.B., Li, Q., Xie, J. (2015). A Novel Central Voltage-Control Strategy for Smart LV Distribution Networks. In: Woon, W., Aung, Z., Madnick, S. (eds) Data Analytics for Renewable Energy Integration. DARE 2015. Lecture Notes in Computer Science(), vol 9518. Springer, Cham. https://doi.org/10.1007/978-3-319-27430-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-27430-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27429-4

  • Online ISBN: 978-3-319-27430-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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