A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance

Author(s)

Mahdavi, Meisam ; Kheirkhah, Ali Reza ; Macedo, Leonardo H. ; Romero, Ruben ; IEEE

• Document type: Journal article
• Source: 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC); v. N/A, p. 6-pg., 2020-01-01.

Abstract

This paper proposes a decimal codification genetic algorithm to solve the transmission network expansion planning (TNEP) problem considering the economic impact of line maintenance. The goal is to extend the lifespan of the time-worn lines in order to reduce the investment cost in the expansion of the transmission network and to improve the worth of the transmission system. To assess the economic impact of the maintenance on the deterioration of transmission lines and transformers, the sum of years digit method is implemented. The proposed algorithm is evaluated using the IEEE reliability test system, and the assessment of the results shows that by including the effect of line maintenance on the TNEP problem, significant savings can be made in the overall cost of the system. (AU)

• FAPESP's process: 18/08008-4 - Coordinated energy resource management under uncertainty considering electric vehicles and demand flexibility in distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Regular Research Grants
• FAPESP's process: 18/20355-1 - Optimization of the expansion planning and operation of electric power distribution systems considering load restoration
• Grantee: Leonardo Henrique Faria Macedo Possagnolo
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 16/12190-7 - New models and optimization techniques applied to the problem of optimal reconfiguration of radial distribution systems
• Grantee: Meisam Mahdavi
• Support Opportunities: Scholarships in Brazil - Post-Doctoral