A multiple criteria decision-making knowledge-based scheme for real-time power voltage control
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 4475684 |
Pages (from-to) | 58-66 |
Journal / Publication | IEEE Transactions on Industrial Informatics |
Volume | 4 |
Issue number | 1 |
Publication status | Published - Feb 2008 |
Link(s)
Abstract
A new real-time power voltage control strategy is proposed in this paper. This scheme utilizes a novel offline evolutionary multiobjective optimization algorithm called jumping genes for generating the widespread control solutions and be readily stored into a knowledge data base. A separate online multiple criteria decision-making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by the New England 39-bus power system. The system output performance was speedy and accurate. © 2006 IEEE.
Research Area(s)
- Coordinated voltage control, Evolutionary algorithm, Jumping genes, Multiple criteria decision making
Citation Format(s)
A multiple criteria decision-making knowledge-based scheme for real-time power voltage control. / Ma, H. M.; Ng, Kai-Tat; Man, Kim F.
In: IEEE Transactions on Industrial Informatics, Vol. 4, No. 1, 4475684, 02.2008, p. 58-66.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review