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Optimal power flow analysis using Lévy flight spider monkey optimisation algorithm
- Source :
- International Journal of Artificial Intelligence and Soft Computing. 5:320
- Publication Year :
- 2016
- Publisher :
- Inderscience Publishers, 2016.
-
Abstract
- Optimal power flow OPF is the most requisite tool in the power system analysis. The OPF is relatively a difficult constrained optimisation problem and broadly solved by conventional as well as modern intelligent methods. In this paper the authors proposed a Levy flight spider monkey optimisation LFSMO algorithm to solve the standard OPF problem for IEEE 30-bus system, which is proposed to improve the exploitation capability of spider monkey optimisation SMO algorithm. The performance of LFSMO is evaluated by testing it over 25 benchmark functions.
- Subjects :
- Mathematical optimization
biology
Computer science
business.industry
020209 energy
02 engineering and technology
General Medicine
biology.organism_classification
Swarm intelligence
Electric power system
Lévy flight
0202 electrical engineering, electronic engineering, information engineering
Benchmark (computing)
Sequential minimal optimization
Local search (optimization)
Power-flow study
business
Spider monkey
Simulation
Subjects
Details
- ISSN :
- 17554969 and 17554950
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- International Journal of Artificial Intelligence and Soft Computing
- Accession number :
- edsair.doi.dedup.....418cbbb7580af8b5e92ce142a986aca9
- Full Text :
- https://doi.org/10.1504/ijaisc.2016.10002244