Decentralized Smart Grids control by cooperative and self-organizing dynamic agents
Decentralized and self-organizing computing paradigms can play an important role in modern smart grids, where the increasing number of renewable power generators and the large-scale deployment of pervasive sensors will massively increase data acquisition, saturating the traditional computing architectures, hence limiting the situational awareness and potential for the decision support. The approaches analyzed in this webinar, which derived from the mathematics of populations of mutually coupled oscillators and epidemic information spreading, contribute in solving these critical issues, by allowing the smart grid controllers to interact together similarly to self-organizing biological populations, which solve complex problems by only exchanging local information. This decentralized computing approach can be applied in the task of solving the most fundamental smart grids operation problems, including, optimal economic dispatch, voltage control, power quality monitoring, dynamic loading of power components.
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Continuing Professional DevelopmentThis event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme. |
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14 Sep 2023 12:00pm - 1:00pm |
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Organiser
Control and Automation TN
Registration Information
Speakers
Professor Alfredo Vaccaro
Full Professor of electrical power system - University of Sannio, Benevento, Italy
Alfredo Vaccaro received the M.Sc. (Hons.) degree in electronic engineering from the University of Salerno, Salerno, Italy, and the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada. From 1999 to 2002, he was an Assistant Researcher with the Department of Electrical and Electronic Engineering, University of Salerno.
On March 2002 he joined the Department of Engineering, University of Sannio, Benevento, Italy, where he is currently a Full Professor of electrical power system. His research interests include interval-based methods for uncertain power system analysis, reliable computing techniques for robust power system optimization, and self-organizing architectures for decentralized smart grids computing.
Prof. Vaccaro is Associate Editor of the IEEE trans. on Power Systems, IEEE trans. on Smart Grids, and he is the vice-Chair of the IEEE Power System Operation, Planning and Economics - Technologies & Innovations Subcommittee
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