Artificial Intelligence Techniques for Optimal Power Flow

被引：0
|
作者：
Barbulescu, C. [1 ]
Kilyeni, S. [1 ]
Simo, A. [1 ]
Oros, C. [1 ]
机构：
[1] Politehn Univ Timisoara, Timisoara, Romania
来源：
SOFT COMPUTING APPLICATIONS, (SOFA 2014), VOL 2 | 2016年 / 357卷
关键词：
Power system; Optimal power flow; Genetic algorithm; PARTICLE SWARM OPTIMIZATION; TRANSMISSION NETWORK DESIGN;
D O I：
10.1007/978-3-319-18416-6_101
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Nowadays, there is a huge interest in developing new approaches for power system-related problem solving. Generally, (meta) heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on genetic algorithms (GA). Several practical issues are presented. Further, it is intended to be used for transmission expansion planning.
引用
收藏
页码：1255 / 1269
页数：15
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