A modified hybrid particle swarm optimization approach for unit commitment

Author

Yen, Le Thanh Xuan ; Sharma, Deepak ; Srinivasan, Dipti ; Manji, Pindoriya Naran

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore (NUS), Singapore, Singapore

fYear

2011

fDate

5-8 June 2011

Firstpage

1738

Lastpage

1745

Abstract

This paper presents a new solution to thermal unit commitment (UC) problem based on a modified hybrid particle swarm optimization (MHPSO). Hybrid real and binary PSO is coupled with the proposed heuristic based constraint satisfaction strategy that makes the solutions/particles feasible for PSO. The velocity equation of particle is also modified to prevent particle stagnation. Unit commitment priority is used to enhance the performance of binary PSO. The proposed algorithm is tested for 10, 20, 40 and 60 unit systems and the results are reported for 10 different runs. Statistical results and their comparison show a good performance of MHPSO over other existing optimization methods.

Keywords

heuristic programming; particle swarm optimisation; power generation dispatch; power generation scheduling; thermal power stations; MHPSO; heuristic based constraint satisfaction strategy; modified hybrid particle swarm optimization approach; particle velocity equation; thermal unit commitment problem; Arrays; Genetic algorithms; Optimization; Particle swarm optimization; Production; Schedules; Spinning;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2011 IEEE Congress on

Conference_Location

New Orleans, LA

ISSN

Pending

Print_ISBN

978-1-4244-7834-7

Type

conf

DOI

10.1109/CEC.2011.5949825

Filename

5949825