Load shedding control strategy based on transient instability evaluation of power system using artificial neural network and analytic hierarchy process algorithm
Corressponding author's email:
trongnghia@hcmute.edu.vnKeywords:
Emergency control, load shedding, AHP algorithm, K-means, dynamic power system stabilityAbstract
This paper proposed a new model of emergency controls load shedding based on the fast
identification of the unstable state of the power system. K-means clustering algorithm divided
the instability mode into the clusters. The results of analysis of this cluster were used as the
basis for classification control. Building load shedding strategies is consisted of the
pre-designed rules based on AHP algorithm. When the recognition of the power system
“instability” is detected, the signal of load shedding control is triggered immediately,
therefore the decision time is greatly shortened comparing to the traditional methods. The
effectiveness of the proposed method was tested on the IEEE 39-bus to overcome the
limitations of the last traditional methods.
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