Solving economic dispatch problems utilizing Cuckoo Search algorithm

Author

Sulaiman, Mohd H. ; Mohamed, M.R.

Author_Institution

Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia

fYear

2014

fDate

24-25 March 2014

Firstpage

89

Lastpage

93

Abstract

This paper presents one of the latest nature-inspired meta-heuristics algorithms, namely Cuckoo Search (CS) algorithm to solve economic dispatch (ED) problems in power system. In order to obtain as close as to practical system, the effect of valve-loading effects together with the other constraints such as ramp rate limits, prohibited operating zones as well as generators operating limits have been taken into consideration in solving the most complex optimization problem. To show the effectiveness of proposed CS in solving ED problem, two test systems are utilized: TAIPOWER 40-units and 15-units systems and then the performance of proposed CS will be compared to the other recent techniques.

Keywords

optimisation; power generation dispatch; power generation economics; search problems; CS algorithm; ED problem; TAIPOWER 15-units system; TAIPOWER 40-units system; cuckoo search algorithm; economic dispatch problem; nature-inspired metaheuristics algorithm; optimization problem; power system; prohibited operating zone; ramp rate limit; valve-loading effect; Conferences; Economics; Generators; Optimization; Particle swarm optimization; Sociology; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International

Conference_Location

Langkawi

Print_ISBN

978-1-4799-2421-9

Type

conf

DOI

10.1109/PEOCO.2014.6814405

Filename

6814405