Authors:
Jérémy Boes
;
Tom Jorquera
and
Guy Camilleri
Affiliation:
University of Toulouse and IRIT/Team SMAC, France
Keyword(s):
Multi-Agent Systems, Self-Adaptive Systems, Co-Simulation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Self Organizing Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
Simulating large systems, such as smart grids, often requires to build a network of specific simulators. Making
heterogeneous simulators work together is a challenge in itself, but recent advances in the field of co-simulation
are providing answers. However, one key problem arises, and has not been sufficiently addressed: the initialization
of such networks. Many simulators need to have proper input values to start. But in the network, each
input is another simulator’s output. One has to find the initial input values of all simulators such as their computed
output is equal to the initial input value of the connected simulators. Given that simulators often contain
differential equations, this is hard to solve even with a small number of simulators, and nearly impossible with
a large number of them. In this paper, we present a mutli-agent system designed to solve the co-simulation
initialization problem, and show preliminary results on large networks.