A statistics-based genetic algorithm for quality improvements of power supplies
This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is incorporated...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
Inderscience Enterprises Ltd
2009
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| Subjects: | |
| Online Access: | http://www.inderscience.com/search/index.php?action=record&rec_id=27038 http://hdl.handle.net/20.500.11937/37477 |
| Summary: | This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is incorporated with the characteristics of the stochastic method, evolutionary algorithm and a more systematical statistical method, orthogonal design. It intends to compensate for the built-in randomness of the stochastic method and, at the same time, overcome the limitations of local search methods that are not suitable for handling multi-optima problems. Case studies on the WSCC 9-bus and New England 39-bus systems indicate that the proposed approach outperforms the existing method in terms of robustness in solution and convergence speed while the solution quality that can offer a more stable and cheaper power supply to customers is achieved. |
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