An advanced optimization technique for considering reliability issues and unit commitment problems simultaneously

Authors

AHMAD HEIDARI
MOHAMMAD REZA ALIZADEH PAHLAVANI
HAMID DEHGHANI

DOI

10.3906/elk-1310-218

Abstract

This paper presents an advanced optimization technique to solve unit commitment problems and reliability issues simultaneously for thermal generating units. To solve unit commitment, generalized Benders decomposition along with a genetic algorithm are proposed to include minimum up/down time constraints, and for reliability issues consideration, a fuzzy stochastic-based technique is presented. To implement the problem into an optimization program, MATLAB software and CPLEX and KNITRO solvers are applied. To verify the proposed technique and algorithm, two case studies, the IEEE 14- and 118-bus systems, are implemented for optimal generation scheduling and reliability issues. Finally, a comparison with other solution techniques is given.

Keywords

Benders decomposition, fuzzy programming, genetic algorithm, optimization technique, reliability issues, unit commitment

First Page

1061

Last Page

1074

Recommended Citation

HEIDARI, AHMAD; PAHLAVANI, MOHAMMAD REZA ALIZADEH; and DEHGHANI, HAMID (2016) "An advanced optimization technique for considering reliability issues and unit commitment problems simultaneously," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24: No. 3, Article 27. https://doi.org/10.3906/elk-1310-218
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss3/27