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Talks and Poster Presentations (with Proceedings-Entry):

T. Frühwirth, A. Einfalt, K. Diwold, W. Kastner:
"A distributed multi-agent system for switching optimization in low-voltage power grids";
Talk: 22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA 2017), Limassol, Cyprus; 2017-09-12 - 2017-09-15; in: "Proceedings of the 22nd IEEE Conference on Emerging Technologies and Factory Automation (ETFA)", (2017).



English abstract:
Information and communication technology plays a crucial role in increasing reliability and efficiency of our critical infrastructure. This paper presents a distributed multi-agent system for switching optimization in low-voltage power grids. As opposed to centralized approaches, the overall optimization procedure is not implemented in a single node but emerges from the behavior and interaction of the participating agents. Thereby, the communication strictly follows a predefined interaction protocol. Losses are reduced by balancing loads among all available transformers. Based on a small distribution network, an exemplary optimization run is discussed in detail. Furthermore, FNCS, a state-of-the-art co-simulation framework, is used to evaluate the actual potential for energy saving.

German abstract:
Information and communication technology plays a crucial role in increasing reliability and efficiency of our critical infrastructure. This paper presents a distributed multi-agent system for switching optimization in low-voltage power grids. As opposed to centralized approaches, the overall optimization procedure is not implemented in a single node but emerges from the behavior and interaction of the participating agents. Thereby, the communication strictly follows a predefined interaction protocol. Losses are reduced by balancing loads among all available transformers. Based on a small distribution network, an exemplary optimization run is discussed in detail. Furthermore, FNCS, a state-of-the-art co-simulation framework, is used to evaluate the actual potential for energy saving.

Keywords:
distributed MAS, switching optimization, low-voltage power grids, FIPA, FNCS, interaction protocol