The selected real tramway substation overload analysis using the optimal structure of an artificial neural network

被引：0
|
作者：
Dudzik, Marek [1 ]
Drapik, Slawomir [2 ]
Jagiello, Adam [1 ]
Prusak, Janusz [1 ]
机构：
[1] Cracow Univ Technol, Fac Elect & Comp Engn, Dept Tract & Traff Control, Inst Elect Engn & Comp Sci, Ul Warszawska 24, PL-31155 Krakow, Poland
[2] ELECTREN SA, Ul Cybernetyki 19A, PL-02677 Warsaw, Poland
来源：
2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM) | 2018年
关键词：
artificial neural network; optimalization; tram traction substation loads and overloads;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper constitutes a continuation of research on load variability of rectifier units. The research are made for the selected tram substation. The performed analysis uses the actual measurements. This time the analysis focuses on relation between the maximum loads and 60 minutes overloads currents. The second part of the paper shows the effectiveness of use of the feedforward type artificial neural network. The effectiveness of the analyze was calculated for 250 times, for 50 cases. The results shown in the paper were obtained for optimal structure of the artificial neural network. The results presented in this publication prove to be the best results among the results known by the authors of the work.
引用
收藏
页码：413 / 417
页数：5
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