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Document Details
Document Type
:
Article In Journal
Document Title
:
An application of model predictive control to the dynamic economic dispatch of power generation
An application of model predictive control to the dynamic economic dispatch of power generation
Subject
:
Mathematics
Document Language
:
English
Abstract
:
Two formulations exist for the problem of the optimal power dispatch of generators with ramp rate constraints: the optimal control dynamic dispatch (OCDD) formulation based on control system models, and the dynamic economic dispatch (DED) formulation based on optimization. Both are useful for the dispatch problem over a fixed time horizon, and they were treated as equivalent formulations in literature. This paper first shows that the two formulations are in fact different and both formulations suffer from the same technical deficiency of ramp rate violation during the periodic implementation of the optimal solutions. Then a model predictive control (MPC) approach is proposed to overcome such a technical deficiency. Furthermore, it is shown that the MPC solutions, which are based on the OCDD framework, converge to the optimal solution of an extended version of the DED problem and they are robust under certain disturbances and uncertainties. Two standard examples are studied: the first one of a ten-unit system shows the difference between the OCDD and DED, and possible ramp rate violations, and the second one of a six-unit system shows the convergence and robustness of the MPC solutions, and the comparison with OCDD as well.
ISSN
:
0967-0661
Journal Name
:
Control Engineering Practice
Volume
:
19
Issue Number
:
6
Publishing Year
:
1432 AH
2011 AD
Article Type
:
Article
Added Date
:
Wednesday, June 6, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Xiaohua Xia
Xia, Xiaohua
Researcher
Doctorate
xxia@postino.up.ac.za
Jiangfeng Zhang
Zhang, Jiangfeng
Researcher
Doctorate
أحمد محمد عليو
Elaiw, Ahmed M
Researcher
Doctorate
a_m_elaiw@yahoo.com
Files
File Name
Type
Description
33520.pdf
pdf
Abstract
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