Design of Dynamic Fuzzy Q-Learning Controller for Networked Wind Energy Conversion Systems

Show simple item record R Wanigasekara Mudiyanse Ralahamillage, CJ en Swain, Akshya en Almakhles, D en Zhou, L en
dc.coverage.spatial Madrid, Spain en 2020-04-16T02:34:39Z en 2020-06-12 en
dc.identifier.uri en
dc.description.abstract During the past two decades, a new paradigm in control engineering, called networked control system (NCS), has emerged. This has been shown to be a successful alternative to traditional control systems. The present study designs a reinforcement learning controller based on the concept of Dynamic Fuzzy Q-Learning (DFQL). This controls the rotor side converter (RSC) of a doubly-fed induction generator (DFIG) of a wind energy conversion system (WECS) through a communication network. A comparative performance investigation has been carried out with two other controllers; namely a conventional PID and Q-Learning controller. The performance of these controllers is studied considering various imperfections of the communication network such as random delay and packet dropout. Simulations are carried out considering a WECS consisting of 20-DFIGs of 5MW capacity each. The results of the study demonstrate that the DFQL controller shows better performance compared to Q-Learning and conventional PID controllers. en
dc.description.uri en
dc.relation.ispartof 20th International Conference on Environment and Electrical Engineering en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Design of Dynamic Fuzzy Q-Learning Controller for Networked Wind Energy Conversion Systems en
dc.type Conference Item en
dc.rights.holder Copyright: The author en
pubs.finish-date 2020-06-12 en
pubs.start-date 2020-06-09 en
dc.rights.accessrights en
pubs.subtype Conference Paper en
pubs.elements-id 797152 en Engineering en Department of Electrical, Computer and Software Engineering en
pubs.record-created-at-source-date 2020-04-01 en

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