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Reference Number NIA_ENWL002
Title Distribution Asset Thermal Modelling
Status Completed
Energy Categories OTHER POWER and STORAGE TECHNOLOGIES(Electricity transmission and distribution) 100%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
Electricity North West Limited
Award Type Network Innovation Allowance
Funding Source ENA Smarter Networks
Start Date 01 July 2015
End Date 01 January 2017
Duration 18 months
Total Grant Value £260,000
Industrial Sectors Power
Region North West
Programme Network Innovation Allowance
 
Investigators Principal Investigator Project Contact , Electricity North West Limited (100.000%)
Web Site http://www.smarternetworks.org/project/NIA_ENWL002
Objectives 1. To develop a Thermal Failure Model for distribution transformers. 2. To develop an LV cable network design tool based on thermal models of typical installation scenarios 1. A database which describes a distribution transformer’s thermal performance and probability of failure under different loading scenarios which can be used to project future investment plans. 2. An Excel based network design tool for LV cables which will use predefined inputs and FEA models to produce a maximum and minimum operating temperature envelope which can be used to demonstrate whether the cable can accept new LCTs.
Abstract One of the key challenges facing DNOs today is a significant change in loading on LV networks from increased penetrations of Low Carbon Technologies (LCTs). The DECC projections for Electric Vehicle and Heat Pump uptake will lead to a marked increase in the daily peak demand placed on LV networks and combined with the observed increase in generation from domestic PV result in the potential for a significant change in the manner LV networks are utilised. These changes have the potential to significantly alter the existing power flows, which is expected to increase instances of distribution asset thermal overload risking premature ageing induced by higher operating temperatures and potential asset failures particularly for transformers where resultant hotspots lead to a loss of insulation oil. The forecasted changes in the utilisation of distribution assets is contrasted with the limited understanding of the behaviour and performance and their potential to accept increased loadings whilst still achieving the expected economic lifetime. A greater understanding of the thermal behaviour exhibited by distribution assets could be used by DNOs to maximise their lifetime by applying new understanding to network design, maintenance and asset management procedures. This project is being raised to complete work on two projects raised under IFI funding; "Distribution Transformer Real Time Thermal Ratings" and "Dynamic Thermal Analysis of Low Voltage Underground Cables. " The project will be split in to two distinct methods: 1. Building upon work already completed within the IFI project, a thermal failure model for distribution transformers will be developed taking into account load profiles, transformer manufacturers, designs and ageing conditions. This model can then be used to categorise the DNOs distribution transformer population and identify those types which have an increased probability of failure associated with future loadings scenarios. 2. A prototype network design tool for LV cables using high fidelity Finite Element Analysis (FEA) models will be developed. This tool will assist in establishing how LV cables behave thermally over time when either balanced or unbalanced currents are applied and will provide DNOs with access to a catalogue of simplified thermal models that reflect typical installation scenarios. These models can be used by DNOs to help support network investment planning activities.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Publications (none)
Final Report (none)
Added to Database 09/08/18