Distribution Network Restoration Reconfiguration Based on an PSO-ACO Hybrid Approach
| Autor: | Ming Guang Zhang, Yun Yun Lu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Engineering
Mathematical optimization business.industry Node (networking) Ant colony optimization algorithms MathematicsofComputing_NUMERICALANALYSIS Process (computing) Control reconfiguration Particle swarm optimization General Medicine ComputingMethodologies_ARTIFICIALINTELLIGENCE Position (vector) Line (geometry) Multi-swarm optimization business |
| Zdroj: | Applied Mechanics and Materials. :1327-1330 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.313-314.1327 |
| Popis: | This paper introduces the particle swarm Optimization (PSO) algorithm and the ant colony optimization (ASO) algorithm to solve the optimal problem of distribution network restoration reconfiguration. In the solving process, propose a multi objective function which contains the minimize line losses and minimize number of switching operations. In the time, simplify distribution and received the feasible searching strategy improved the searching speed. Because parameters has an important influence on ACO algorithm, this method use the PSO optimizate the parameters α and β of ACO. Take the parameters as the position of PSO. This method overcomed the parameters on the influence of the ACO and improved the global searching capability. Simulation on a typical 33 node case is conducted, the results show this method has a good performance of global searching. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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