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.
Unit commitment, artificial neural network, genetic algorithm
JAHROMI, MEHDI ZAREIAN; BIOKI, MOHAMMAD MEHDI HOSSEINI; NEJAD, MASOUD RASHIDI; and FADAEINEDJAD, ROOHOLLAH
"Solution to the unit commitment problem using an artificial neural network,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 21:
1, Article 14.
Available at: https://journals.tubitak.gov.tr/elektrik/vol21/iss1/14