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

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

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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.

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Author Biographies ##ver##

Andrés Hernando Domínguez Castaño

Master in Electrical Engineering, Universidad Tecnológica de Pereira. Doctoral student in Engineering in Universidad Tecnológica de Pereira. Member of Planning Electrical Systems group.

Antonio Hernando Escobar Zuluaga, Universidad Tecnológica de Pereira.

Electrical engineer, MsC. in Electrical Engineering, PhD. Engineering, Universidade Estadual Paulista Júlio De Mesquita Filho. Associate Professor Universidad Tecnológica de Pereira.

Ramón Alfonso Gallego Rendón, Universidad Tecnológica de Pereira.

Specialist in Energy Planning, Uniandes. MsC. Electrical Power, Universidad Nacional de Colombia, Bogotá. PhD. in Electrical Engineering, Universidad de Campinas, Brasil. Associate Professor Universidad Tecnológica de Colombia.