Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/16101
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dc.contributor.authorTaylor, G-
dc.date.accessioned2018-04-18T10:57:00Z-
dc.date.available2017-08-21-
dc.date.available2018-04-18T10:57:00Z-
dc.date.issued2017-08-
dc.identifier.citationIET Generation, Transmission and Distribution, 2017en_US
dc.identifier.issn1751-8695-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/16101-
dc.description.abstractIn recent years, situation awareness and risk mitigation have become the challenging issues in large-scale power grids. This study presents a novel pair-wise relative energy function for real-time transient stability analysis and emergency control. The proposed energy function is able to accurately identify the clusters of critical and non-critical generators significantly faster when compared with previous methods. Additionally, a new emergency control criterion is proposed in order to stabilise the identified critical generators within a comparatively short interval after fault clearance. The emergency control scheme computes the capacity of the requisite generation curtailment using the pre-calculated relative energy of the equivalent post-fault system. Finally, the relative energy oscillation trajectories that occur in the critical cluster are utilised in order to locate the most appropriate generator to launch the emergency control. When compared with the existing methods, it is evident that the novel approach can be applied practically for power systems transient stability analysis and emergency control. The effectiveness of the proposed method is demonstrated and evaluated using the New England 10 machines 39-bus and 16 machines 68-bus systems.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectemergency managementen_US
dc.subjectpower system transient stabilityen_US
dc.subjectrisk managementen_US
dc.titleA Novel Pair-wise Relative Energy Function for Transient Stability Analysis and Real-time Emergency Controlen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1049/iet-gtd.2016.1671-
dc.relation.isPartOfIET Generation, Transmission and Distribution-
pubs.publication-statusPublished-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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