Initialization-free privacy-guaranteed distributed algorithm for economic dispatch problem

This paper considers the economic dispatch problem for a network of power generators and customers. In particular, our aim is to minimize the total generation cost under the power supply–demand balance and the individual generation capacity constraints. This problem is solved in a distributed manner...

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Bibliographic Details
Published in:Automatica (Oxford) Vol. 102; pp. 86 - 93
Main Authors: Yun, Hyeonjun, Shim, Hyungbo, Ahn, Hyo-Sung
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.04.2019
Subjects:
Distributed optimization
Economic dispatch
Multi-agent systems
Power grids
Synchronization
Distributed optimization
Economic dispatch
Power grids
Synchronization
Multi-agent systems
ISSN:0005-1098, 1873-2836
Online Access:Get full text
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Summary:This paper considers the economic dispatch problem for a network of power generators and customers. In particular, our aim is to minimize the total generation cost under the power supply–demand balance and the individual generation capacity constraints. This problem is solved in a distributed manner, i.e., a dual gradient-based continuous-time distributed algorithm is proposed in which only a single dual variable is communicated with the neighbors and no private information of the node is disclosed. The proposed algorithm is simple and no specific initialization is necessary, and this in turn allows on-line change of network structure, demand, generation constraints, and even the participating nodes. The algorithm also exhibits a special behavior when the problem becomes infeasible so that each node can detect over-demand or under-demand situation of the power network. Simulation results on IEEE 118 bus system confirm robustness against variations in power grids.
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2018.12.033