| EPSRC Reference: |
GR/R40265/01 |
| Title: |
Power Quality: Customer damage assesment and effect of network design |
| Principal Investigator: |
Milanovic, Professor JV |
| 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: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2001 |
Ends: |
30 September 2004 |
Value (£): |
277,344
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| EPSRC Research Topic Classifications: |
| Power Sys Man, Prot & Control |
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| EPSRC Industrial Sector Classifications: |
| Energy |
Technical Consultancy |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
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Stream S1: The project will develop an accurate and reliable probabilistic model of voltage sags in distribution networks. The model will include symmetrical and asymmetrical faults, the probabilities of first order and higher order events, the minimum number of fault combinations that must beconsidered to obtain an accurate estimate of various types of sags, the generation pattern, realistic pre-fault voltages obtained from power flow studies and relevant dynamic effects and models. Stream S2: Power quality should ultimately be measured in terms of its consequences on equipment performance. This requires knowing whether a particular sag will cause certain equipment to trip or fail. A new method based on complex voltages will be developed to uniquely represent more complex and asymmetrical sags. Laboratory tests will be performed to assess the sensitivity of typical equipments to non-conventional voltage sags and to establish illustrative sag performance charts. Stream S3: The definition of quality of service provided by distribution company will be extended to include some measure of the quality of the power supplied. The tool that will be developed in this project should help select the optimal number and location of switches and auto-reclosers for a given feeder. This tool will then be enhanced to be able to evaluate automatically a large number of design options. Towards the end of this project, results of streams S1 and S2 will be combined with the tool developed in this stream. This synthesis will provide a technique for optimising network design.
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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 |