Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows
Systems and Control
2017-02-08 v1 Applications
Abstract
In this manuscript we review new ideas and first results on application of the Graphical Models approach, originated from Statistical Physics, Information Theory, Computer Science and Machine Learning, to optimization problems of network flow type with additional constraints related to the physics of the flow. We illustrate the general concepts on a number of enabling examples from power system and natural gas transmission (continental scale) and distribution (district scale) systems.
Cite
@article{arxiv.1702.01890,
title = {Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows},
author = {Michael Chertkov and Sidhant Misra and Marc Vuffray and Dvijotham Krishnamurty and Pascal Van Hentenryck},
journal= {arXiv preprint arXiv:1702.01890},
year = {2017}
}
Comments
28 pages, 1 figure