Paper Info
Title
Decentralized Power Distribution In The Smart Grid With Ancillary Lines An Approach Based On Distributed Constraint Optimization
Abstract
Energy management is a key topic for today's society, and a crucial challenge is the shift from a production system based on fossil fuel to sustainable energy. A key ingredient for this important step is the use of a highly automated power delivery network, where intelligent devices can communicate and collaborate to optimize energy management. This paper investigates a specific model for smart power grids initially proposed by Zdeborov et al. (Phys Rev E Stat Nonlinear Soft Matter Phys 80(4): 2009) where backup power lines connect a subset of loads to generators so to meet the demand of the whole network. Specifically, we extend such model to minimize CO2 emissions related to energy production. In more detail, we propose a formalization for this problem based on the Distributed Constraint Optimization Problem (DCOP) framework and a solution approach based on the min-sum algorithm. We empirically evaluate our approach on a set of benchmarking power grid instances comparing our proposed solution to simulated annealing and to the DSA algorithm. Our results show that min-sum favorably compares with simulated annealing and DSA providing a promising solution method for this model.
Year
DOI
Venue
2019
10.1007/s11036-017-0893-y
MOBILE NETWORKS & APPLICATIONS
Keywords
DocType
Volume
Smart grid, Decentralized constraint optimization, Factor graphs
Journal
24
Issue
ISSN
Citations 
5
1383-469X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Michele Roncalli100.34
Filippo Bistaffa2428.28
Alessandro Farinelli366774.16