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Lookup NU author(s): Varvara Alimisi, Professor Phil Taylor
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Hierarchically structured Automatic Voltage Control (AVC) architecture enables wide-area closed-loop Coordinated Voltage Regulation (CVR). Owing to the inherent complexity of the task, CVR relies on reduced control models, i.e. simplified models of the system suitable for voltage control. It is a fact however that a single reduced control model (static RCM) cannot be optimal for all network configurations and operating conditions. In pursuit of advanced online voltage control for a future smart transmission grid, this paper presents adaptive control model reduction (adaptive RCM) for CVR. The proposed formulation is based on a complex network representation of the transmission grid. Additionally, the formulation employs spectral clustering complemented by perturbation theory to deliver the adaptive RCM. Indicative results are presented on the New England 39-bus network and provide adequate justification of the proposed approach. The implications of an adaptive RCM scheme to control algorithm design and selection are also discussed.
Author(s): Alimisis V, Piacentini C, Taylor PC
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Year of Conference: 2015
Online publication date: 25/06/2015
Acceptance date: 01/01/1900
ISSN: 9781479917853
Publisher: Institute of Electrical and Electronics Engineers
URL: http://dx.doi.org/10.1109/ISGT.2015.7131860
DOI: 10.1109/ISGT.2015.7131860
Series Title: Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
