A specialized genetic algorithm to solve the short term transmission network expansion planning
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
27/05/2014
27/05/2014
01/12/2009
|
| Resumo |
In this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation of an integrated power system transmission network expansion planning problem (real and reactive power planning). The characteristics of the proposed SGA to solve the STTNEP problem are detailed and an interior point method is employed to solve nonlinear programming problems during the solution steps of the SGA. Results of tests carried out with two electrical energy systems show the capabilities of the SGA and also the viability of using the AC model to solve the STTNEP problem. © 2009 IEEE. |
| Identificador |
http://dx.doi.org/10.1109/PTC.2009.5281970 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future. http://hdl.handle.net/11449/71298 10.1109/PTC.2009.5281970 2-s2.0-74949126229 |
| Idioma(s) |
eng |
| Relação |
2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future |
| Direitos |
closedAccess |
| Palavras-Chave | #AC model of the transmission network #Interior point method #Mixed integer nonlinear programming #Specialized genetic algorithm #Transmission network expansion planning #Interior point methods #Mixed-integer nonlinear programming #Transmission networks #Dynamic programming #Genetic algorithms #Integer programming #Nonlinear programming #Optimization #Reactive power #Electric power transmission networks |
| Tipo |
info:eu-repo/semantics/conferencePaper |
