Tesis doctoral de Oihane Abarrategui Ranero
This doctoral thesis defines and develops a new methodology for feeder reconfiguration in distribution networks with distributed energy resources (der). The proposed methodology is based on metaheuristic ant colony optimization (aco) algorithms. The methodology is called item oriented ant system (ioas) and the doctoral thesis also defines three variations of the original methodology, item oriented ant colony system (ioacs), item oriented max-min ant system (iommas) y item oriented max-min ant colony system (ioacs). All methodologies pursue a twofold objective, to minimize the power losses and maximize der penetration in distribution networks. The aim of the variations is to find the algorithm that adapts better to the present optimization problem, solving it most efficiently. The main feature of the methodology lies in the fact that the heuristic information and the exploitation information (pheromone) are attached to the item not to the path. Besides, the doctoral thesis proposes to use feeder reconfiguration in order to increase the distribution network capacity of accepting a major degree of der. The proposed methodology and its three variations have been tested and verified in two distribution networks well documented in the existing bibliography. These networks have been modeled and used to test all proposed methodologies for different scenarios with various der penetration degrees.
Datos académicos de la tesis doctoral «New methodology for feeder reconfiguration in distribution networks with distributed energy resources«
- Título de la tesis: New methodology for feeder reconfiguration in distribution networks with distributed energy resources
- Autor: Oihane Abarrategui Ranero
- Universidad: País vasco/euskal herriko unibertsitatea
- Fecha de lectura de la tesis: 27/04/2012
Dirección y tribunal
- Director de la tesis
- Mª Inmaculada Zamora Belver
- Tribunal
- Presidente del tribunal: angel javier Mazon sainz-maza
- Antonio Gabaldon marin (vocal)
- matias Urenda moris (vocal)
- Francisco ignacio Martin moreno (vocal)