DocumentCode :
622140
Title :
A new swarm intelligence technique for solving economic dispatch problem
Author :
Sulaiman, Mohd H. ; Zakaria, Zetty N. ; Rashid, M. I. Mohd ; Rahim, Siti Rafidah Abdul
Author_Institution :
Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia
fYear :
2013
fDate :
3-4 June 2013
Firstpage :
199
Lastpage :
202
Abstract :
This paper presents a new swarm intelligence (SI) technique to solve economic dispatch (ED) problems in power system. As been acknowledge that ED is one of the most complex optimization problem to be performed in the planning and operation of a power system which is to determine the optimal generation scheduling so that the minimum cost can be obtained. In addition, the effect of equality and inequality constraints that embedded in this problem makes ED harder to solve by using conventional techniques. In this paper, a recent SI technique, namely differential search (DS) algorithm is implemented to solve ED problem. DS simulates the Brownian-like random-walk movement used by organisms to migrate. In order to demonstrate the effectiveness of DS, two test systems viz. 15-units system and TAIPOWER 40-units system are utilized as test cases and compared to the other technique. instructions give you basic guidelines for preparing papers for conference proceedings.
Keywords :
power generation dispatch; power generation planning; swarm intelligence; 15-units system; Brownian-like random-walk movement; DS algorithm; ED; SI technique; TAIPOWER 40-units system; differential search algorithm; economic dispatch problem; optimal generation scheduling; power system operation; power system planning; swarm intelligence technique; Conferences; Economics; Generators; Optimization; Particle swarm optimization; Power engineering; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-5072-3
Type :
conf
DOI :
10.1109/PEOCO.2013.6564542
Filename :
6564542
Link To Document :
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