Topology-aware distributed smart grid control using a clustering-based utility maximization approach

Publikationstyp
Conference Paper
Date Issued
2020-03
Sprache
English
Author(s)
Stübs, Marius  
Ipach, Hanko  orcid-logo
Becker, Christian  orcid-logo
Institut
Elektrische Energietechnik E-6  
TORE-URI
http://hdl.handle.net/11420/5771
Start Page
1806
End Page
1815
Citation
Proceedings of the ACM Symposium on Applied Computing : 1806-1815 (2020-03)
Contribution to Conference
35th Annual ACM Symposium on Applied Computing, SAC 2020  
Publisher DOI
10.1145/3341105.3373959
Scopus ID
2-s2.0-85083027781
Publisher
ACM
Efficiently balancing supply and demand in the electrical distribution grid is an important Smart Grid service. The development of applicable agent-based concepts for match-making energy generators with consumers is an active research field. Implementing Smart Grids as a system of Micro Grid systems, we propose an efficient decentralized optimization scheme, which avoids central components in order to increase dependability, robustness against communication failures, and denial-of-service attacks. The concept utilizes traditional peer-to-peer functionality in combination with locality-aware routing: Two explicit clusterings are evaluated and compared to the fully-meshed communication approach. We investigate the impact of node clustering on the optimality and locality of the distributed Smart Grid control algorithm and show that our approach significantly reduces the electrical losses in the examined power distribution grid compared to the centralized approach.
Subjects
Controller-hardware-in-the-loop
Cyber-physical system
Distributed control algorithm
Electrical power balancing
Iterative optimization
Smart grids
System of systems
Topological clustering
Utility maximization. resilience
DDC Class
004: Informatik
600: Technik
More Funding Information
Funded by the Federal Ministry of Economics and Energy of Germany (BMWi).