An improved differential evolution algorithm with priority calculation for unit commitment problem

Author

Shi-Jim Yen ; Wei-Liang Chen ; Chang Chen ; Shun-Chin Hsu ; I-Chen Wu

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan

fYear

2014

fDate

22-24 Oct. 2014

Firstpage

352

Lastpage

357

Abstract

Unit Commitment Problem (UCP) is a high-dimensional, discrete and non-linear optimization problem which is complicated so that it is difficult to find the optimal solution. This paper proposes a new method, called improved priority differential evolution (IPDE), based on differential evolution algorithm and priority calculation to solve UCP. We increased the speed of convergence and the accuracy of solution by means of adjusting individual, using penalty function and calculating priority. Compared with other algorithms, IPDE obtains better feasible solutions in different complexity.

Keywords

evolutionary computation; nonlinear programming; power generation dispatch; power generation scheduling; IPDE; UCP; discrete optimization problem; high-dimensional problem; improved differential evolution algorithm; improved priority differential evolution; nonlinear optimization problem; penalty function; priority calculation; unit commitment problem; Evolutionary computation; Flowcharts; Fuels; Genetic algorithms; Optimization; Spinning; Vectors; Differential Evolution Algorithm; Energy Management; Unit Commitment Problem;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing (GrC), 2014 IEEE International Conference on

Conference_Location

Noboribetsu

Type

conf

DOI

10.1109/GRC.2014.6982863

Filename

6982863