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Intelligent autoreclosing for systems of high penetration of wind generation with real time modelling, development and deployment


Reference:

Le Blond, S., 2011. Intelligent autoreclosing for systems of high penetration of wind generation with real time modelling, development and deployment. Thesis (Doctor of Philosophy (PhD)). University of Bath.

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    Abstract

    This thesis presents investigations into the effect of modern wind farms on grid side short circuits using extensive real time digital simulation. Particular reference is made to adaptive autoreclosing algorithms using artificial neural networks. A section of 132kV transmission grid in Scotland, including DFIG wind farms, is modelled on a real time digital simulator. An algorithm is then developed and tested using this model to show that this autoreclosing technique is feasible in systems with high penetration of wind generation. Although based on an existing technique, an important innovation is the use of two neural networks for the separate tasks of arc presence and extinction. The thesis also describes a low-cost, real time, relay development platform.

    Details

    Item Type Thesis (Doctor of Philosophy (PhD))
    CreatorsLe Blond, S.
    Uncontrolled Keywordswind, protection and control, real time simulation of power systems
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    Publisher StatementUnivBath_PhD_2011_S.Le_Blond.pdf: © The Author. Material in pp.265-293 © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
    StatusUnpublished
    ID Code28355

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