Economic load dispatch using hybrid swarm intelligence based harmony search algorithm

Pandi, V. Ravikumar, Panigrahi, B. K., Bansal, Ramesh C., Das, Swagatam and Mohapatra, Ankita (2011) Economic load dispatch using hybrid swarm intelligence based harmony search algorithm. Electric Power Components and Systems, 39 8: 751-767. doi:10.1080/15325008.2010.541411


Author Pandi, V. Ravikumar
Panigrahi, B. K.
Bansal, Ramesh C.
Das, Swagatam
Mohapatra, Ankita
Title Economic load dispatch using hybrid swarm intelligence based harmony search algorithm
Journal name Electric Power Components and Systems   Check publisher's open access policy
ISSN 0731-356X
1532-5008
1532-5016
Publication date 2011
Sub-type Article (original research)
DOI 10.1080/15325008.2010.541411
Volume 39
Issue 8
Start page 751
End page 767
Total pages 17
Place of publication Philadelphia, PA, U.S.A.
Publisher Taylor & Francis
Collection year 2012
Language eng
Formatted abstract
This article presents a novel stochastic optimization approach to solve the constrained economic load dispatch problem using a hybridization of the harmony search algorithm and particle swarm optimization, named hybrid harmony search based on the swarm intelligence principle. Harmony search is a recently developed derivative-free, meta-heuristic optimization algorithm, which draws inspiration from the musical process of searching for a perfect state of harmony. This work is an attempt to utilize the velocity-based particle updating process from particle swarm optimization in the improvisation process of the harmony search algorithm for a better convergence of the proposed algorithm. The proposed methodology also easily takes care of solving non-convex economic load dispatch problems along with different constraints, such as power balance, ramp rate limits of the generators, and prohibited operating zones. Simulations were performed over four various standard test systems with different numbers of generating units, and a comparative study is carried out with other existing relevant approaches. The findings affirm the robustness and proficiency of the proposed methodology over other existing techniques.
Keyword Harmony search
Particle swarm optimization
Economic load dispatch
Prohibited operating zones
Transmission loss
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Thu, 29 Mar 2012, 17:28:08 EST by Dr Ramesh Bansal on behalf of School of Information Technol and Elec Engineering