| EPSRC Reference: |
EP/N508421/1 |
| Title: |
Common Application Platform for Low Voltage Network Management |
| Principal Investigator: |
Liu, Dr Q |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Electrical and Electronic Engineering |
| Organisation: |
University of Manchester, The |
| Scheme: |
Technology Programme |
| Starts: |
01 May 2015 |
Ends: |
30 June 2017 |
Value (£): |
149,872
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| EPSRC Research Topic Classifications: |
| Sustainable Energy Networks |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
In this proposal, both laboratory testing and thermal modelling will be carried out to refine and validate the dynamic thermal
rating (DTR) algorithm for low voltage (LV) distribution transformers in order to cope with future dynamic loading scenarios
caused by dispersed generations, electric vehicles, heat pumps and etc.
A specially commissioned 11kV/0.433kV three phase distribution transformer will be manufactured with multiple optical
fibre sensors embedded in the transformer winding during the manufacturing process. This transformer will be used as the
testing object in the laboratory. Thermal rating and life assessment of a transformer are dependent on the hotspot
temperature inside the transformer. While the hotspot location is usually assumed to be near to the top position of the
winding, due to the exposure to the maximum leakage field and the high surrounding oil temperature, previous experience
has shown that this is not necessarily the case and it could be located at lower conductor positions. Therefore multiple
sensors will be installed at the top region of each winding to capture the hotspot temperature. In addition, top oil and bottom
oil temperatures inside the transformer will be monitored. Extra condition monitoring measures used by the industry to
determine the health condition of transformers, e.g. on-line Dissolved Gas Analysis Monitor (already available in the
laboratory) will be applied during the tests to provide complementary information.
The temperature rise tests will be implemented in two stages. First, prolonged heat run tests will be conducted under
multiple levels of constant loadings, such as 70%, 100% and 120% of rated loadings. The thermal parameters required in
the IEC thermal model for calculating the hottest spot temperature, can be refined based on the heat run test results.
Second, a series of dynamic load profiles obtained from the load analysis and forecast algorithm will be applied in the heat
run tests to verify the thermal model and its parameters. The developed DTR algorithm of distribution transformers would
be able to cope with future predictable and un-predictable loading scenarios in LV networks.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.man.ac.uk |