My SciELO
Services on Demand
Article
Indicators
- Cited by SciELO
Related links
- Similars in SciELO
Share
Ingeniería Energética
On-line version ISSN 1815-5901
Abstract
GONZALEZ QUINTERO, José Angel; SOSPEDRA TOLEDO, Elizabeth and ALVAREZ DIAZ, Marlén. Distribution Systems Reconfiguration by Means of Genetics Algorithms Based on Graph Theory. Energética [online]. 2016, vol.37, n.2, pp. 115-123. ISSN 1815-5901.
The reconfiguration of distribution electric systems constitutes an optimization problem of the electric power systems operation. The genetic algorithms (GA) present numerous applications in the field of the optimization. The main advantage resides in its relative simplicity to formulate problems mathematically complex. It also has been thought that the methods based on GA are better than the traditional heuristic algorithms in the global optimum obtainment. However, when the GA is applied to the reconfiguration problem appears the necessity of carrying out radiality verifications that recharge their mathematical algorithm notably. The random nature of the variants generation process makes that many of them should be rejected by not fulfilling the connection premises imposed to the problem. In this work a formulation is presented based on certain principles of the graph theory that avoids the inconveniences of the realization of these checkups.
Keywords : reconfiguration; minimum losses; genetic algorithms; graph theory; distribution systems; distribution systems optimization.