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Multi-Agent platform for Grid and communication impact analysis of rapidly deployed demand response algorithms
KU Leuven, Belgium. (Department of Electrical Engineering (ELECTA))ORCID iD: 0000-0002-3088-3479
KU Leuven, Belgium. (Department of Electrical Engineering (ELECTA))
KU Leuven, Belgium. (Department of Electrical Engineering (ELECTA))ORCID iD: 0000-0002-2225-3987
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Power Systems Operation and Control)ORCID iD: 0000-0002-6590-6634
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2016 (English)In: Energy Conference (ENERGYCON), 2016 IEEE International, IEEE conference proceedings, 2016Conference paper (Refereed)
Abstract [en]

Abstract:This paper describes a rapid algorithm deployment platform for Smart Grid research. Accounting for the complex interplay of power system dynamics and communication delays in the network by means of rapid code deployment during algorithm design can improve the evaluation of Smart Grid control schemes and their impact on grid power quality. Our novel approach bridges the gap between the implementation of highly realistic multi-timeframe simulations, and expensive hardwired deployment. The architecture and behavior of the platform is presented for one specific Demand Response algorithm namely Dual Decomposition. Large numbers of distributed agents are efficiently managed by employing FIPA compliant Agent Management Specification (AMS) and Directory Facilitator (DF) functionalities, as well as an efficient SQL database monitoring and logging scheme. The architecture is deployed both on an actual laboratory setup and a virtual OPAL-RT environment. Simulations results show that system latency and computational load increase linearly for increasing numbers of distributed agents. This novel approach provides a realistic and pragmatic solution for evaluating distributed applications for grid management, market applications and advanced monitoring of power quality requirements.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016.
Keyword [en]
Algorithm deployment, Autonomous agents, Power quality, Smart Grid co-simulation, Dual Decomposition
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Energy Technology
URN: urn:nbn:se:kth:diva-193716DOI: 10.1109/ENERGYCON.2016.7513875ScopusID: 2-s2.0-84982830568ISBN: 978-1-4673-8463-6ISBN: 978-1-4673-8464-3OAI: diva2:1033859
Energy Conference (ENERGYCON), 2016 IEEE International

QC 20161011

Available from: 2016-10-10 Created: 2016-10-10 Last updated: 2016-10-11Bibliographically approved

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Iacovella, SandroDeconinck, GeertHoneth, NicholasNordström, Lars
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