Study on the Evaluation Method of Harmonic Loss Based on Data Analysis in Distribution Network

被引：0
|
作者：
Xie, Wei [1 ]
Dong, Weijie [2 ]
Deng, Pan [2 ]
机构：
[1] State Grid Shanghai Municipal Elect Power Co, Shanghai, Peoples R China
[2] China Elect Power Res Inst, Beijing, Peoples R China
来源：
10TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC 2018) | 2018年
基金：
国家重点研发计划;
关键词：
Big data; Distribution network; Harmonic economic loss;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Because of the lack of unified and scientific method for the evaluation of harmonic loss in distribution network, based on the big data analysis method of the power, this paper established the harmonic loss assessment system of distribution network including data, index and application, constructed the evaluation index system of harmonic loss. Combined with radial basis (RBF) neural network, improved conventional particle swarm optimization (PSO) algorithm, and made the harmonic loss assessment system with adaptive chaotic particle swarm optimization RBF (CAPSO-RBF) neural network. Refer to the harmonic core temperature rise model of electric cable, got the insulation aging life evaluation model of electric cable under the influence of harmonic. The case analysis proved the feasibility of the method and verifies the reasonableness of the designed evaluation system.
引用
收藏
页码：767 / 773
页数：7
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