Distorted Electric Field Shielding of EHV Transmission Line Based on Extreme Learning Machine Prediction Optimization Model

被引：0
|
作者：
Peng C. [1 ]
Jiang L. [2 ]
Liu J. [1 ]
Liu B. [1 ]
机构：
[1] School of Electrical & Automation Engineering, East China Jiaotong University, Nanchang, 330013, Jiangxi Province
[2] State Grid Shandong Electric Power Maintenance Company, Jinan, 250022, Shandong Province
来源：
Dianwang Jishu/Power System Technology | 2017年 / 41卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Electric field shielding; Molecule differential evolution; Prediction; Shielding wire; Weighted regularized extreme learning machine;
D O I：
10.13335/j.1000-3673.pst.2017.0193
中图分类号：
学科分类号：
摘要：
In order to address the issue of extra-high voltage power transmission project exceed the standard and the high cost of environmental governance,this paper puts a multi objective optimization method to solve the distortion electric field on the nearby residential buildings with targets of the best shielding effect and the lowest shielding cost. It is difficult to accurately describe the relationship between shielding mode and shielding effect directly use mathematical function description. Firstly, the prediction model of shielding effectiveness is established based on the finite element simulation software. Then, the molecular differential evolution algorithm is used to optimize the number and the position of the shield wire based on the prediction model. The results show that the proposed method can optimize the erection parameters of shielding line, and get a better shielding scheme with less cost and better shielding effect. © 2017, Power System Technology Press. All right reserved.
引用
收藏
页码：3655 / 3661
页数：6
相关论文
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