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Congestion Management In Distribution Network : Case study: Wind farms in 110 kV network

Nguyen, Tu (2026)

 
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Nguyen, Tu
2026

Master's Programme in Computing Sciences and Electrical Engineering
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Hyväksymispäivämäärä
2026-09-24
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202609239979
Tiivistelmä
As more distributed energy resources connected to the grid, due to electricity demand ris-ing, grid operators needed to maximize their asset ability. This urgency to integrate large amounts of energy require accurate hosting capacity determination and suitable congestion management strategies. This thesis answers what are the cause of congestion, what method could be used to determine hosting capacity, how congestion management strategies able to improve the hosting capacity. The thesis explored Dynamic Line Rating (DLR) technology as an option, comparing with physical reinforcement of a real 110 kV network. DLR enables grid operators to determine the real time ampacity of the transmission line using weather data and conductor behaviour, rather than a fixed conservative static rating.

The result show that the studied corridor able to host one wind farm with its current static rating. As the number of wind farms increased, so is the energy push into the corridor, DLR able to uplift the ampacity of the conductors due to favourable weather conditions and increase the hosting capacity of the network. DLR buy 97.8% of the congestion relief with about 12% capital of the cheapest reinforcement solution. Enable the grid operators to realize the value of flexibility when the hosting capacity is increase, enable distributed energy resources connec-tion, and reduce the curtailment hours. DLR shows potential for 110 kV network where distrib-uted energy resources connection is being established and still in the planning phase, help DSO enable these connections and realize flexibility value.
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  • Opinnäytteet - ylempi korkeakoulututkinto [43442]
Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste
 

 

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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste