Hybrid particle swarm algorithm with application to distributed generation planning
| Autor: | Haitao Wu, Fuzhen Huang |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Mathematical optimization
Engineering business.industry ComputingMethodologies_MISCELLANEOUS Distributed generation planning Particle swarm optimization Computer Science::Robotics Constraint (information theory) Electric power system Particle swarm algorithm Algorithm design Penalty method Multi-swarm optimization business |
| Zdroj: | Proceedings of the 10th World Congress on Intelligent Control and Automation. |
| DOI: | 10.1109/wcica.2012.6357920 |
| Popis: | In this paper a hybrid intelligent algorithm combining particle swarm algorithm with natural selection mechanism is proposed and applied to the distributed generation planning. Based on the need of load and cost, a model for distributed generation planning is developed, in which the constraint condition is introduced by the penalty function. Experimental results show the feasibility and efficiency of the hybrid particle swarm algorithm and the performances of the proposed method and the basic particle swarm algorithm are compared in the example. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|