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Online Optimal Generation Control Based on Constrained Distributed Gradient Algorithm

delete2015-01-01
delete195
PRE
AI
W
Wei Zhang *
W
Wenxin Liu
X
Xin Wang
L
Liming Liu
F
Frank Ferrese
DOI:10.1109/TPWRS.2014.2319315delete
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Abstract

Abstract

En 中文
In traditional power system, economic dispatch and generation control are separately applied. Online generation adjustment is necessary to regulate generation reference for real-time control to realize economic operation of power systems. Since most economic dispatch solutions are centralized, they are usually expensive to implement, susceptible to single-point-failures, and inflexible. To address the above-mentioned problems, this paper proposed a multi-agent system based distributed control solution that can realize optimal generation control. The solution is designed based upon an improved distributed gradient algorithm, which can address both equality and inequality constraints. To improve the reliability of multi-agent system, the N - 1 rule is introduced to design the communication network topology. Compared with centralized solutions, the distributed control solution not only can achieve comparable solutions but also can respond timely when the systemexperiences change of operating conditions. MAS based real-time simulation results demonstrate the effectiveness of the proposed solution.
Keywords:
Distributed control system
distributed gradient algorithm
N-1 rule
online optimal generation control
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Journal

IEEE Transactions on Power Systems cover
IEEE Transactions on Power Systems
IF:
7.2
Papers:
1.1W
Citations:
5.0W

Organization

H
harbin institute of technology
Scholars:
8.0W
Papers: 6.6W
Citations: 66
A
abb
Scholars:
1.0K
Papers: 1.0K
Citations: 1
S
shanghai jiao tong university
Scholars:
15.6W
Papers: 11.6W
Citations: 159
United States Department of Defense cover
United States Department of Defense
Scholars:
2.8W
Papers: 2.3W
Citations: 172
N
new mexico state university
Scholars:
5.0K
Papers: 4.1K
Citations: 12
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