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Towards Autonomic Control in Decentralised Power Systems via Distributed Type-2 Fuzzy Systems

Lookup NU author(s): Ivan Castro Leon, Professor Phil Taylor


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Real-time control and operation of future power systems demands substantially different approaches from the conventional. Inherent short-term uncertainty and complexity in power systems will be notably increased. In order to deal with these two challenging attributes, this paper introduces a preliminary autonomic control scheme formed through the conjunction of type-2 fuzzy systems and a multi-agent architecture. Results are also presented addressing voltage control on an 11 kV UK distribution network.

Publication metadata

Author(s): Castro-Leon I, Taylor PC

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 4th European Innovative Smart Grid Technologies (ISGT) Conference

Year of Conference: 2013

Pages: 1-5

Publisher: IEEE


DOI: 10.1109/ISGTEurope.2013.6695258