Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22591
Title: Adaptive partitioning approach to self-sustained smart grid
Authors: Jia, Y
Lai, CS
Xu, Z
Chai, S
Wong, KP
Keywords: Laplace equations;Power transmission reliability;Self-organising feature maps;Smart power grids;Decentralised control;Power transmission control
Issue Date: 26-Jan-2017
Publisher: Wiley
Citation: Jia, Youwei; Lai, Chun Sing; Xu, Zhao; Chai, Songjian; Wong, Kit Po: 'Adaptive partitioning approach to self-sustained smart grid', IET Generation, Transmission & Distribution, 2017, 11, (2), p. 485-494,
Abstract: Effective network partitioning becomes an essential step to realise self-sustained smart grid, which serves as a prerequisite for 'self-healing' enabled decentralised control. Splitting the power network (PN) into areas is the last resort to avoid the spread of disruption and to maintain as many network survivals as possible. This study aims to resolve the issue of multi-objective PN partitioning by deploying a newly proposed hybrid approach concerning both real power balance and voltage profile. The proposed approach combines the Laplacian spectrum and self-organising map, which adaptively attains self-sustained network partitions on different operating conditions. The resultant partitions are characterised by the minimal intra-area real power imbalance with a healthy voltage profile. The authors experimentally evaluate the partitioning effectiveness and computational efficiency in several case studies including on the New England 39-bus, IEEE 118-bus, and Polish 2383-bus transmission systems.
URI: http://bura.brunel.ac.uk/handle/2438/22591
DOI: http://dx.doi.org/10.1049/iet-gtd.2016.1031
ISSN: 1751-8687
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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