A review of Artificial Intelligence Techniques applied to Adaptive Autoreclosure, with particular reference to deployment with wind generation
| Title | A review of Artificial Intelligence Techniques applied to Adaptive Autoreclosure, with particular reference to deployment with wind generation |
| Publication Type | Conference Paper |
| Year of Publication | 2009 |
| Authors | Blond, S L, Aggarwal P R |
| Conference Name | Proceedings of the 44th International Universities Power Engineering Conference |
| Date Published | September |
| Conference Location | University of Strathclyde |
| Keywords | Power system operation 1 Power System Operation and Control |
| Abstract | This paper presents a survey of artificial intelligence techniques that have hitherto been applied to adaptive autoreclosure, such as artificial neural networks, fuzzy logic, expert systems and genetic algorithms. The aim is to discern the most suitable techniques for applying adaptive autoreclosure to systems with high penetrations of wind power. Traditionally, adaptive autoreclosure schemes have been implemented using a combination of signal processing and artificial neural networks. A number of variations on this conventional approach are proposed in this paper. Qualitative assessment shows that in theory, a combination of the examined AI techniques will provide the most robust methodology, combining the strengths of each technique whilst minimizing weaknesses. |
