| EPSRC Reference: |
GR/J43806/01 |
| Title: |
THE APPLICATION OF GENETIC ALGORITHMS TO POWER SYSTEM PLANNING AND OPERATION (ERCOS) |
| Principal Investigator: |
Laughton, Professor M |
| Other Investigators: |
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| Department: |
Sch of Electronic Eng & Computer Science |
| Organisation: |
Queen Mary University of London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 1993 |
Ends: |
30 September 1996 |
Value (£): |
120,384
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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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Genetic algorithms offer a powerful general purpose approach to optimisation problems characterised by nonlinearities and local optima with mixed continuous and integer variables. Using loadflow analysis as the means of providing feasible solutions satisfying network constraints, decision variables related to investment or control can be encoded in an abstract binary bit string form. By such means representations of a population of alternative solutions are held in a form analogous to chromosomes. Succeeding generations are then synthesised by crossover and mutation operators with the best solutions emerging to dominate in a process akin to natural selection. The research will examine many aspects of these algorithms in the context of optimal power system operation and planning problems using a fast second order Newton loadflow technique for sequential loadflow analyses, a fast expert system shell for rule-based data management and algorithm control plus a database for storing data and intermediate solutions. The latter information will enable algorithm performance to be monitored and analysed off-line.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
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| Description |
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| Date Materialised |
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Sectors submitted by the Researcher |
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