Distributed Robust Algorithm for Economic Dispatch in Smart Grids Over General Unbalanced Directed Networks

The increased complexity of modern energy network raises the necessity of flexible and reliable methods for smart grid operation. To this end, this article is centered on the economic dispatch problem (EDP) in smart grids, which aims at scheduling generators to meet the total demand at the minimized...

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Veröffentlicht in:IEEE transactions on industrial informatics Jg. 16; H. 7; S. 4322 - 4332
Hauptverfasser: Li, Huaqing, Wang, Zheng, Chen, Guo, Dong, Zhao Yang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.07.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Communication delay
Computer simulation
Cost function
Delays
directed networks
distributed algorithm
Distributed algorithms
economic dispatch
Economics
Generators
noisy gradient
Rescaling
Smart grid
Smart grids
ISSN:1551-3203, 1941-0050
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Zusammenfassung:The increased complexity of modern energy network raises the necessity of flexible and reliable methods for smart grid operation. To this end, this article is centered on the economic dispatch problem (EDP) in smart grids, which aims at scheduling generators to meet the total demand at the minimized cost. This article proposes a fully distributed algorithm to address the EDP over directed networks and takes into account communication delays and noisy gradient observations. In particular, the rescaling gradient technique is introduced in the algorithm design and the implementation of the distributed algorithm only resorts to row-stochastic weight matrices, which allows each generator to locally allocate the weights on the messages received from its in-neighbors. It is proved that the optimal dispatch can be achieved under the assumptions that the nonidentical constant communication delays inflicting on each link are uniformly bounded and the noises embroiled in gradient observation of every generator are bounded variance zero mean. Simulations are provided to validate and testify the effectiveness of the presented algorithm.
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ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2019.2945601