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A Practical Approach to Optimising Distribution Transformer Tap Settings

Author

Listed:
  • Joshua Paoli

    (School of Engineering, University of Tasmania, Hobart 7001, Australia)

  • Bernd Brinkmann

    (TasNetworks, Lenah Valley 7008, Australia)

  • Michael Negnevitsky

    (School of Engineering, University of Tasmania, Hobart 7001, Australia)

Abstract

This paper proposes a method of determining the optimal tap settings for no-load distribution transformers with tap-changing capabilities that is practical to apply in real distribution networks. The risk of low voltage distribution networks violating voltage constraints is impacted by the increasing uptake of distributed energy resources and embedded generation. Some of this risk can be alleviated by suitably setting no-load transformer tap settings, however, modifying these taps requires customer outages and must be infrequent. Hence, loading over the entire year must be considered to account for seasonal variations when setting these taps optimally. These settings are determined using evolution strategy optimisation based on an average loading case. Monte Carlo simulations are used to calculate the probability that the terminal voltages on the distribution transformer secondary terminals violate the network voltage limits when the optimal set of taps for the average case is applied over a whole year. This algorithm was tested on several cases of a real distribution feeder of varying complexity, and produces a sufficiently-optimal set of taps without significant computation time.

Suggested Citation

  • Joshua Paoli & Bernd Brinkmann & Michael Negnevitsky, 2020. "A Practical Approach to Optimising Distribution Transformer Tap Settings," Energies, MDPI, vol. 13(18), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4889-:d:415396
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    References listed on IDEAS

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    1. Haque, M. Mejbaul & Wolfs, Peter, 2016. "A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1195-1208.
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    Cited by:

    1. Muhammed Sait Aydin & Sahban W. Alnaser & Sereen Z. Althaher, 2022. "Using OLTC-Fitted Distribution Transformer to Increase Residential PV Hosting Capacity: Decentralized Voltage Management Approach," Energies, MDPI, vol. 15(13), pages 1-19, July.

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