Solution to the unit commitment problem using an artificial neural network

Authors

MEHDI ZAREIAN JAHROMI
MOHAMMAD MEHDI HOSSEINI BIOKI
MASOUD RASHIDI NEJAD
ROOHOLLAH FADAEINEDJAD

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, MEHDI ZAREIAN; BIOKI, MOHAMMAD MEHDI HOSSEINI; NEJAD, MASOUD RASHIDI; and FADAEINEDJAD, ROOHOLLAH (2013) "Solution to the unit commitment problem using an artificial neural network," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 21: No. 1, Article 14. https://doi.org/10.3906/elk-1105-42
Available at: https://journals.tubitak.gov.tr/elektrik/vol21/iss1/14