PSO/GA Combined with Charge Simulation Method for the Electric Field Under Transmission Lines in 3D Calculation Model

被引:17
|
作者
Wang, Ru [1 ,2 ]
Tian, Jin [1 ]
Wu, Fei [1 ]
Zhang, Zhenhua [1 ]
Liu, Haishan [1 ]
机构
[1] Shanghai Univ Engn Sci, Sch Elect & Elect Engn, Shanghai 201620, Peoples R China
[2] Modern Transportat Engn Ctr, 7921,Longteng Rd 333, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
charge simulation method; intelligent algorithm; three-dimension calculation model; transmission lines; finite element method; fitness function; FINITE-ELEMENT-METHOD; GENETIC ALGORITHM; OPTIMIZATION; INSULATORS;
D O I
10.3390/electronics8101140
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 accurate calculation of electric field intensity under transmission lines is more and more important with the expansion of high voltage engineering, which largely determines the site selection and design of transmission projects. In order to get more accurate results, a methodology of a charge simulation method (CSM) combined with an intelligent optimization algorithm for a 3D calculation model is proposed in this paper. Three key points are emphasized for special mention in this optimized charge simulation method (OCSM). First, the number of sub-segments on the finite length conductor, the position and number of the simulating charge set on a sub-segment are taken as the optimization parameters for unified calculation. Secondly, the fitness function of optimization algorithm is constructed by two values, voltage relative error and electric field intensity relative error. Thirdly, a finite element method (FEM) was used to obtain the electric field intensities, which are compared with the results of the proposed algorithm. A simulation case is carried out on a 3D calculation model of 220 kV transmission lines, which verify the effectiveness of the optimization algorithm. The proposed OCSM solves the parameter optimization problem of CSM in the 3D computational model, which considers physical shape of wire span, and has the advantages of strong global search ability and higher calculation accuracy.
引用
收藏
页数:18
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