Abstract | ||
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A distributed approach for the economic dispatch of generating units is presented. It is assumed that the generators are connected by a communication graph. Each unit has information about itself, and can exchange information only with a few neighboring units in such a graph. Using graph theory and consensus algorithms, the proposed approach solves the economic dispatch problem in a distributed manner instead of existing centralized approaches. The proposed solution is shown to be optimal, independent of the initial power distribution, and to respond automatically to real-time load demand changes. Moreover, it requires only that the communication graph be connected. The effectiveness of the proposed algorithm is verified by simulating a standard IEEE test system. |
Year | DOI | Venue |
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2013 | 10.1109/MED.2013.6608729 | Control & Automation |
Keywords | Field | DocType |
distributed power generation,electric generators,graph theory,power system economics,ieee test system,communication graph,distributed solution,economic dispatch problem,generating units,power distribution,consensus protocol,distributed generation,economic dispatch,economics,topology,protocols | Graph theory,Economic dispatch,Consensus algorithm,Graph,Mathematical optimization,Double dispatch,Electric generator,Computer science,Distributed power generation,Distributed generation,Distributed computing | Conference |
ISSN | ISBN | Citations |
2325-369X | 978-1-4799-0995-7 | 6 |
PageRank | References | Authors |
0.71 | 7 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giulio Binetti | 1 | 36 | 4.47 |
Mohammed I. Abouheaf | 2 | 71 | 7.90 |
frank l lewis | 3 | 6 | 0.71 |
David Naso | 4 | 175 | 14.50 |
Ali Davoudi | 5 | 347 | 35.39 |
Biagio Turchiano | 6 | 448 | 45.10 |