Genetic Algorithm Based Distribution Network Expansion Planning

被引：0
|
作者：
Kilyeni, Stefan [1 ]
Barbulescu, Constantin [1 ]
Simo, Attila [1 ]
Teslovan, Razvan [1 ]
Oros, Cosmin [1 ]
机构：
[1] Politehn Univ Timisoara, Power Syst Anal & Optimizat Res Ctr, Timisoara, Romania
来源：
2014 49TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC) | 2014年
关键词：
distribution network; mathematical model; expansion planning; genetic algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The methods belonging to the artificial intelligence field are becoming very popular within the power system domain. Within the literature several applications are able to be highlighted: load forecasting, power flow computing, power flow optimization, network expansion. The paper is focusing on developing a software tool based on genetic algorithms. The goal of the paper is to use it for distribution network expansion planning. For the moment, the case studies are represented by small scale test power system, but the work is heading towards real, complex distribution networks.
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页数：6
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