A specialized genetic algorithm to solve the short term transmission network expansion planning
MetadataShow full item record
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.
How to cite this document
Showing items related by title, author, creator and subject.
Garcés, Lina ; Romero, Rubén (2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09, 2009) [Trabalho apresentado em evento]This paper presents a methodology to solve the transmission network expansion planning problem (TNEP) considering reliability and uncertainty in the demand. The proposed methodology provides an optimal expansion plan that ...
Rider, Marcos J.; Garcia, Ariovaldo V.; Romero, Rubén (2007 IEEE Lausanne POWERTECH, Proceedings, 2007) [Trabalho apresentado em evento]This paper presents an algorithm to solve the network transmission system expansion planning problem using the DC model which is a mixed non-linear integer programming problem. The major feature of this work is the use of ...
Lopez-Lezama, J. M.; Padilha-Feltrin, A. ; Contreras, J.; Muñoz, J. I. (2010 IEEE PES Transmission and Distribution Conference and Exposition: Smart Solutions for a Changing World, 2010) [Trabalho apresentado em evento]A bilevel programming approach for the optimal contract pricing of distributed generation (DG) in distribution networks is presented. The outer optimization problem corresponds to the owner of the DG who must decide the ...