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A parallel genetic algorithm approach to solving the unit commitment problem: implementation on the transputer networks

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3 Author(s)
Hong-Tzer Yang ; Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan ; Pai-Chuan Yang ; Ching-Lien Huang

Through a constraint handling technique, this paper proposes a parallel genetic algorithm (GA) approach to solving the thermal unit commitment (UC) problem. The developed algorithm is implemented on an eight-processor transputer network, processors of which are arranged in master-slave and dual-direction ring structures, respectively. The proposed approach has been tested on a 38-unit thermal power system over a 24-hour period. Speed-up and efficiency for each topology with different number of processor are compared to those of the sequential GA approach. The proposed topology of dual-direction ring is shown to be well amenable to parallel implementation of the GA for the UC problem

Published in:

Power Systems, IEEE Transactions on  (Volume:12 ,  Issue: 2 )