Abstract
In this paper the authors propose an effective and flexible procedure of emergency control aimed at alleviating branch overload by generation rescheduling and load shedding. Linguistic control strategies and analytical equations are integrated in a fuzzy modeling framework for coordinated actions of available control resources. The fuzzy modeling provides a flexible decision-making process including the priorities of loads to be shed, and the effective redispatch of generator output. Model examples demonstrate the capability of this approach.
Original language | English |
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Pages (from-to) | 67-72 |
Number of pages | 6 |
Journal | International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications |
Volume | 8 |
Issue number | 1 |
Publication status | Published - 2000 Mar |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Branch overload alleviation by flexible coordination of generation rescheduling and load shedding. / Niimura, T.; Nakashima, T.; Yokoyama, R.
In: International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, Vol. 8, No. 1, 03.2000, p. 67-72.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Branch overload alleviation by flexible coordination of generation rescheduling and load shedding
AU - Niimura, T.
AU - Nakashima, T.
AU - Yokoyama, R.
PY - 2000/3
Y1 - 2000/3
N2 - In this paper the authors propose an effective and flexible procedure of emergency control aimed at alleviating branch overload by generation rescheduling and load shedding. Linguistic control strategies and analytical equations are integrated in a fuzzy modeling framework for coordinated actions of available control resources. The fuzzy modeling provides a flexible decision-making process including the priorities of loads to be shed, and the effective redispatch of generator output. Model examples demonstrate the capability of this approach.
AB - In this paper the authors propose an effective and flexible procedure of emergency control aimed at alleviating branch overload by generation rescheduling and load shedding. Linguistic control strategies and analytical equations are integrated in a fuzzy modeling framework for coordinated actions of available control resources. The fuzzy modeling provides a flexible decision-making process including the priorities of loads to be shed, and the effective redispatch of generator output. Model examples demonstrate the capability of this approach.
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UR - http://www.scopus.com/inward/citedby.url?scp=0033892453&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0033892453
VL - 8
SP - 67
EP - 72
JO - International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications
JF - International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications
SN - 0969-1170
IS - 1
ER -