Title of article :
Solution to the unit commitment problem using an artificial neural network
Author/Authors :
ZAREIAN JAHROMI, Mehdi graduate university of advanced technology - Department of Electrical and Computer Engineering, كرمان, ايران , HOSSEINI BIOKI, Mohammad Mehdi graduate university of advanced technology - Department of Electrical and Computer Engineering, كرمان, ايران , RASHIDINEJAD, Masoud shahid bahonar university of kerman - Department of Electrical Engineering, كرمان, ايران , FADAEINEDJAD, Roohollah graduate university of advanced technology - Department of Electrical and Computer Engineering, كرمان, ايران
From page :
198
To page :
212
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.
Keywords :
Unit commitment , artificial neural network , genetic algorithm
Journal title :
Turkish Journal of Electrical Engineering and Computer Sciences
Journal title :
Turkish Journal of Electrical Engineering and Computer Sciences
Record number :
2532427
Link To Document :
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