Title
Network Planning In Smart Grids Via A Local Search Heuristic For Spanning Forest Problems
Abstract
Smart grids are automated, distributed energy exchange networks that, in contrast to traditional electricity grids, feature reconfigurable network topologies. Network planning is an essential function of smart grids that connects customers to energy sources using available physical links in the network. We model this as the problem of creating a spanning forest with a capacity constraint on each tree bounding its total weight. Each tree of the forest corresponds to a set of customers, rooted at a source. We call this the Capacitated Spanning Forest (CSF) problem. CSF is NP-complete even on unweighted graphs with two sources. We present a solution to this problem using a Local Search heuristic and demonstrate its performance on square grids and on a real-world sample grid topology.
Year
Venue
Field
2017
2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)
Heuristic,Mathematical optimization,Smart grid,Network planning and design,Network topology,Distributed generation,Energy source,Local search (optimization),Engineering,Grid,Distributed computing
DocType
ISSN
Citations 
Conference
2163-5137
1
PageRank 
References 
Authors
0.35
5
3
Name
Order
Citations
PageRank
George Davidescu110.69
thomas stutzle25684352.15
Valeriy Vyatkin31047152.80