You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/70028
Title: 
Heuristic algorithm to solve the short term transmission network expansion planning
Author(s): 
Institution: 
  • IEEE
  • Universidade Estadual de Campinas (UNICAMP)
  • Universidade Estadual Paulista (UNESP)
Abstract: 
In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to And a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in this paper. In each step of the algorithm, a sensitivity index is used to add a circuit (transmission line or transformer) or a capacitor bank (fixed or variable) to the system. This sensitivity index is obtained solving the problem considering the numbers of circuits and capacitors banks to be added (relaxed problem), as continuous variables. The relaxed problem is a large and complex nonlinear programming and was solved through a higher order interior point method. The paper shows results of several tests that were performed using three well-known electric energy systems in order to show the possibility and the advantages of using the AC model. ©2007 IEEE.
Issue Date: 
1-Dec-2007
Citation: 
2007 IEEE Power Engineering Society General Meeting, PES.
Keywords: 
  • AC model
  • Constructive heuristic algorithms
  • Mixed integer nonlinear programming
  • Transmission network expansion planning
  • Capacitors
  • Heuristic algorithms
  • Integer programming
  • Mathematical models
  • Nonlinear programming
  • Planning
  • Problem solving
  • Sensitivity analysis
  • Electric power transmission networks
Source: 
http://dx.doi.org/10.1109/PES.2007.385441
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/70028
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.