A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance

被引：0
|
作者：
Mahdavi, Meisam [1 ]
Kheirkhah, Ali Reza [1 ]
Macedo, Leonardo H. [1 ]
Romero, Ruben [1 ]
机构：
[1] Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, Brazil
来源：
2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2020年
基金：
巴西圣保罗研究基金会;
关键词：
Decimal codification genetic algorithm; lines' degradation; maintenance; mixed-integer nonlinear programming; transmission network expansion planning; RELIABILITY; GENERATION; SYSTEM; COORDINATION; TNEP;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：6
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