| EPSRC Reference: |
GR/K31459/01 |
| Title: |
OPTIMAL SCHEDULING OF ELECTRICITY GENERATING SYSTEMS IN A PARALLEL ENVIRONMENT (ERCOS) |
| Principal Investigator: |
McKee, Professor S |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Mathematics and Statistics |
| Organisation: |
University of Strathclyde |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 March 1995 |
Ends: |
28 February 1998 |
Value (£): |
118,394
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| EPSRC Research Topic Classifications: |
| Power Sys Man, Prot & Control |
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| EPSRC Industrial Sector Classifications: |
| Energy |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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This project will assess and compare genetically engineered algorithms (genetic algorithms underpinned by knowledge-based systems) against lagrangian relaxation as the best engine for solving the unit commitment/economic despatch problem. As a secondary aim it will develop or use a computerised procedure to forecast electricity demand using both statistical techniques and rule based algorithms. It will also explore and ascertain the best parallel environment.
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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.strath.ac.uk |