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.
Distributed solution for the economic dispatch problem / Binetti, G; Abouheaf, M I; Lewis, F L; Naso, D; Davoudi, A; Turchiano, B. - ELETTRONICO. - (2013), pp. 243-250. (Intervento presentato al convegno 21st Mediterranean Conference on Control & Automation, MED 2013 tenutosi a Platanias-Chania, Greece nel June 25-28, 2013) [10.1109/MED.2013.6608729].
Distributed solution for the economic dispatch problem
Binetti G;Naso D;Turchiano B
2013-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.