Enabling the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent-Based Modeling and Simulation
Authored by Sonja Kolen, Stefan Daehling, Timo Isermann, Antonello Monti
Date Published: 2018
DOI: 10.1155/2018/3469325
Sponsors:
German Federal Ministry of Education and Research (BMBF)
Platforms:
Repast
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
In future electrical distribution systems, component heterogeneity and
their cyber-physical interactions through electrical lines and
communication lead to emergent system behavior. As the distribution
systems represent the largest part of an energy system with respect to
the number of nodes and components, large-scale studies of their
emergent behavior are vital for the development of decentralized control
strategies. This paper presents and evaluates DistAIX, a novel
agent-based modeling and simulation tool to conduct such studies. The
major novelty is a parallelization of the entire model-including the
power system, communication system, control, and all interactions-using
processes instead of threads. Thereby, a distribution of the simulation
to multiple computing nodes with a distributed memory architecture
becomes possible. This makes DistAIX scalable and allows the inclusion
of as many processing units in the simulation as desired. The
scalability of DistAIX is demonstrated by simulations of large-scale
scenarios. Additionally, the capability of observing emergent behavior
is demonstrated for an exemplary distribution grid with a large number
of interacting components.
Tags
Power
Parallel