Turkish Journal of Electrical Engineering and Computer Sciences
Abstract
This paper proposes a real-time solution to the unit commitment problem by considering different constraints like ramp-up rate, unit operation emissions, next hours load, and minimum down time. In this method, an optimized trade-off between cost and emission has been taken into consideration. The effectiveness of the proposed method was verified by the significant outcomes demonstrated.
DOI
10.3906/elk-1105-42
Keywords
Unit commitment, artificial neural network, genetic algorithm
First Page
198
Last Page
212
Recommended Citation
JAHROMI, M. Z, BIOKI, M. M, NEJAD, M. R, & FADAEINEDJAD, R (2013). Solution to the unit commitment problem using an artificial neural network. Turkish Journal of Electrical Engineering and Computer Sciences 21 (1): 198-212. https://doi.org/10.3906/elk-1105-42
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Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
