A review of artificial intelligence techniques as applied to adaptive autoreclosure, with particular reference to deployment with wind generation
Le Blond, S. and Aggarwal, R., 2010. A review of artificial intelligence techniques as applied to adaptive autoreclosure, with particular reference to deployment with wind generation. In: Proceedings of the 44th International Universities Power Engineering Conference (UPEC), 2009. IEEE Computer Society, pp. 855-859. (Proceedings of the Universities Power Engineering Conference)
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This paper presents a survey of artificial intelligence techniques that have hitherto been applied to adaptive autoreclosure, namely artificial neural networks, fuzzy logic 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 discussion 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.
|Item Type||Book Sections|
|Creators||Le Blond, S.and Aggarwal, R.|
|Departments||Faculty of Engineering & Design > Electronic & Electrical Engineering|
|Additional Information||44th International Universities Power Engineering Conference, UPEC2009. 1-4 September 2009. Glasgow, United Kingdom.|
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