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Optimising low-voltage transformer tap settings in distribution networks

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Paoli, JP, Brinkmann, B and Negnevitsky, M ORCID: 0000-0002-5130-419X 2019 , 'Optimising low-voltage transformer tap settings in distribution networks', paper presented at the 29th Australasian Universities Power Engineering Conference, AUPEC 2019, 26-29 November 2019, Fiji.

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Abstract

In this paper, a practical method of determiningthe optimal tap setting of no-load distribution tap-changingtransformers is proposed. The uptake of distributed energyresources impacts the risk of distribution systems violatingvoltage constraints. Setting no-load transformer tap settingsappropriately can mitigate some of this risk, but changing thesetaps requires an outage to the customer and must be infrequent.Hence, the optimisation of these tap settings must considerloading for at least a whole year to account for seasonalvariation. An evolution strategy is used to determine thesesettings based on an average loading case. The performance ofthis method is measured with a normalised objective function.Monte Carlo simulations are used to determine the probabilitythat the network voltages on the secondary side of thetransformer terminals violate the required voltage constraintsonce this optimal set of taps is established. This algorithm wastested on a real distribution feeder, and generates a sufficientlyoptimal set of taps without significant computation time.Furthermore, it can provide information about areas of a givendistribution system that may require augmentation from anetwork planning perspective as more distributed resources aregradually introduced.

Item Type: Conference or Workshop Item (Paper)
Authors/Creators:Paoli, JP and Brinkmann, B and Negnevitsky, M
Keywords: no-load tap-changing transformers, distribution network utilisation, evolution strategy, optimisation, network planning
Journal or Publication Title: Proceedings of the 29th Australasian Universities Power Engineering Conference, AUPEC 2019
Publisher: IEEE
DOI / ID Number: 10.1109/AUPEC48547.2019.211792
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