Stochastic Weight Trade-Off Particle Swarm Optimization for Optimal Power Flow
| Autor: | Dung Anh Le, Weerakorn Ongsakul, Dieu Ngoc Vo, Luong Dinh Le, Jirawadee Polprasert |
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| Rok vydání: | 2014 |
| Předmět: |
Power flow
Mathematical optimization Meta-optimization Differential evolution Ant colony optimization algorithms Genetic algorithm MathematicsofComputing_NUMERICALANALYSIS Particle swarm optimization ComputingMethodologies_ARTIFICIALINTELLIGENCE Metaheuristic Algorithm Evolutionary programming Mathematics |
| Zdroj: | Journal of Automation and Control Engineering. 2:31-37 |
| ISSN: | 2301-3702 |
| DOI: | 10.12720/joace.2.1.31-37 |
| Popis: | This paper proposes a stochastic weight trade-off particle swarm optimization (SWT-PSO) method solving optimal power flow (OPF) problem. The proposed SWT- PSO is a new improvement of PSO method using a stochastic weight trade-off for enhancing search its search ability. The proposed method has been tested on the IEEE 30 bus and 57 bus systems and the obtained results are compared to those from other methods such as conventional PSO, genetic algorithm (GA), ant colony optimization (ACO), evolutionary programming (EP), and differential evolution (DE) methods. The numerical results have indicated that the proposed SWT-PSO method is better than the others in terms of total fuel costs, total loss and computational times. Therefore, the proposed SWT-PSO method can be a favorable method for solving OPF problem. |
| Databáze: | OpenAIRE |
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