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Physiological inspiration for self-management in smart grid systems opportunities and challenges

Insaurralde, Carlos C.; Strasser, Thomas

Authors

Thomas Strasser



Abstract

© 2014 IEEE. Technologies, concepts and architectures for renewable energy are currently in the thick of engineering researches. Technological application examples are sustainable electric supplies and emission-free buildings where infrastructures of power systems such as Smart Grid Systems (SGSs) play a key role. They are actually pushing their self-governing capabilities beyond limits by being required to deal with more and more challenging operational situations (topological reconfiguration, fault tolerance, etc.). Additionally, support of automatic adaptation is needed in order to provide resilience and sustainment. This paper analyzes different use cases of SGSs with the main goal of identifying potential applications for the implementation of physiologically-inspired concepts and algorithms to support self-management. The survey presented recaps the state of the art of SGSs with a particular focus on automation problems and solutions as well as physiologically-inspired adaptation in other domains. It also presents the foundations for a physiologically- inspired self-management approach, and challenging research issues when applying it to SGSs. Concluding remarks and future research directions are discussed as well.

Presentation Conference Type Conference Paper (Published)
Conference Name 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Start Date Oct 5, 2014
End Date Oct 8, 2014
Acceptance Date Jan 1, 2014
Online Publication Date Dec 4, 2014
Publication Date Dec 4, 2014
Deposit Date Mar 10, 2020
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 2014-January
Pages 3657-3662
Series ISSN 1062-922X
DOI https://doi.org/10.1109/smc.2014.6974498
Keywords Smart Grids, Physiologically-Inspired Self-Management, Automation and Control Systems
Public URL https://uwe-repository.worktribe.com/output/5285731