DocumentCode :
3387366
Title :
Decentralizing the economic dispatch problem using a two-level incremental cost consensus algorithm in a smart grid environment
Author :
Ziang Zhang ; Xichun Ying ; Mo-Yuen Chow
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fYear :
2011
fDate :
4-6 Aug. 2011
Firstpage :
1
Lastpage :
7
Abstract :
In a smart grid, effective distributed control algorithms could be embedded in distributed controllers to properly allocate electrical power among connected buses autonomously. By selecting the incremental cost of each generation unit as the consensus variable, the Incremental Cost Consensus (ICC) algorithm can solve the economic dispatch problem in a distributed manner instead of using conventional centralized approaches. In this paper, we further decrease the requirement of the communication network by using an average consensus algorithm to acquire the system power mismatch information. The mathematical formulation of the algorithms is also presented in this paper. In addition, the results of several case studies are presented to show the convergence rate of the ICC algorithm and the comparison between the previous ICC and the new two-level ICC algorithm.
Keywords :
distributed control; multi-agent systems; power engineering computing; power generation dispatch; power generation economics; smart power grids; ICC algorithm; average consensus algorithm; distributed control algorithm; economic dispatch problem decentralization; electrical power allocation; generation unit; multiagent system; smart grid environment; system power mismatch information acquisition; two-level incremental cost consensus algorithm; Convergence; Generators; Heuristic algorithms; Integrated circuits; Network topology; Smart grids; Topology; Distributed control; consensus; economic dispatch; multi-agent system; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2011
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-0417-8
Electronic_ISBN :
978-1-4577-0418-5
Type :
conf
DOI :
10.1109/NAPS.2011.6025103
Filename :
6025103
Link To Document :
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