A Distributed Algorithm for Economic Dispatch Over Time-Varying Directed Networks With Delays

In power system operation, the economic dispatch problem (EDP) aims to minimize the total generation cost while meeting the demand and satisfying generator capacity limits. This paper proposes an algorithm based on the gradient push-sum method to solve the EDP in a distributed manner over communicat...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) Jg. 64; H. 6; S. 5095 - 5106
Hauptverfasser: Tao Yang, Jie Lu, Di Wu, Junfeng Wu, Guodong Shi, Ziyang Meng, Johansson, Karl Henrik
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Communication
Communication networks
Computer simulation
Cost function
Delay effects
Delays
Distributed algorithm
Distributed algorithms
economic dispatch
Generators
gradient push-sum method
Network topology
Power dispatch
time-varying delays
time-varying networks
ISSN:0278-0046, 1557-9948, 1557-9948
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Zusammenfassung:In power system operation, the economic dispatch problem (EDP) aims to minimize the total generation cost while meeting the demand and satisfying generator capacity limits. This paper proposes an algorithm based on the gradient push-sum method to solve the EDP in a distributed manner over communication networks potentially with time-varying topologies and communication delays. This paper shows that the proposed algorithm is guaranteed to solve the EDP if the time-varying directed communication network is uniformly jointly strongly connected. Moreover, the proposed algorithm is also able to handle arbitrarily large but bounded time-varying delays on communication links. Numerical simulations are used to illustrate and validate the proposed algorithm.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
USDOE
AC05-76RL01830
PNNL-SA-114079
ISSN:0278-0046
1557-9948
1557-9948
DOI:10.1109/TIE.2016.2617832