Solution to the unit commitment problem using an artificial neural network

Authors

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

DOI

10.3906/elk-1105-42

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

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