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.
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.
|Item Type ||Thesis (Doctor of Philosophy (PhD))|
|Creators||Le Blond, S.|
|Uncontrolled Keywords||wind, protection and control, real time simulation of power systems|
|Departments||Faculty of Engineering & Design > Electronic & Electrical Engineering|
|Publisher Statement||UnivBath_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|
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