Energy function based neural networks UPFC for transient stability enhancement of network-preserving power systems | IEEE Conference Publication | IEEE Xplore

Energy function based neural networks UPFC for transient stability enhancement of network-preserving power systems

Publisher: IEEE

Abstract:

An energy function based unified power flow controller (UPFC) is developed for improving transient stability of network-preserving power systems. In order to consider mod...View more

Abstract:

An energy function based unified power flow controller (UPFC) is developed for improving transient stability of network-preserving power systems. In order to consider model uncertainties, we also propose a forward neural networks controller to deal with such model uncertainties. This controller can be treated as neural network approximations of energy function control actions and provides online learning ability. Simulations on two power systems demonstrate that the proposed control strategy is very effective for suppressing power swing even under severe system conditions.
Date of Conference: 30 May 2010 - 02 June 2010
Date Added to IEEE Xplore: 03 August 2010
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Publisher: IEEE
Conference Location: Paris, France

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