A new heuristic method to solve unit commitment by using a time-variant acceleration coefficients particle swarm optimization algorithm

Authors

ARSALAN NAJAFI
MOHSEN FARSHAD
HAMID FALAGHI

Abstract

Unit commitment is one of the most important problems in power system operation. Because of the large amount of parameters and constraints, it contains a high level of complexity. In this paper a new method based on a time-variant acceleration coefficients particle swarm optimization algorithm has been proposed to solve the unit commitment problem. Integer coding (for satisfying minimum up/down constraints) and binary coding (for satisfying spinning reserve constraint) have been utilized in the proposed method. Simulations in the different cases have been done with different sizes. Numerical results have shown the superiority and better convergence of the proposed method in comparison with other methods.

DOI

10.3906/elk-1212-36

Keywords

Economic load dispatch, time-variant acceleration coefficients particle swarm optimization algorithm, unit commitment

First Page

354

Last Page

369

Recommended Citation

NAJAFI, ARSALAN; FARSHAD, MOHSEN; and FALAGHI, HAMID (2015) "A new heuristic method to solve unit commitment by using a time-variant acceleration coefficients particle swarm optimization algorithm," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 23: No. 2, Article 3. https://doi.org/10.3906/elk-1212-36
Available at: https://journals.tubitak.gov.tr/elektrik/vol23/iss2/3