SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS

Andrés Hernando Domínguez Castaño, Antonio Hernando Escobar Zuluaga, Ramón Alfonso Gallego Rendón

Abstract


This paper presents a methodology for solving the static planning problem in electrical energy transmission networks considering demand uncertainty and conductor selection for the transmission lines that belong to new paths. The optimization problem is solved using a specialized genetic algorithm which uses the logic of the genetic algorithm proposed by Chu and Beasley, combined with exact optimization. The testing bench chosen for the proposed methodology was the Colombian power system of 93 nodes and 155 candidate lines. The results obtained improve the static planning solution for the Colombian power system.


Keywords


Genetic algorithm; Optimization; High temperature low sag (HTLS) conductor; Transmission planning; demand uncertainty .

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