特高压自耦变压器直流偏磁无功损耗算法研究

杨培宏, 李亚, 亢岚, 冯士伟

电工电能新技术 ›› 2018, Vol. 37 ›› Issue (12) : 45-51.

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电工电能新技术 ›› 2018, Vol. 37 ›› Issue (12) : 45-51. DOI: 10.12067/ATEEE1708071
论文报告

特高压自耦变压器直流偏磁无功损耗算法研究

  • 杨培宏1, 李亚1, 亢岚2, 冯士伟1
作者信息 +

Analysis of DC bias and reactive loss characteristics of UHV autotransformers based on PSCAD

  • YANG Pei-hong1, LI Ya1, KANG Lan2, FENG Shi-wei1
Author information +
文章历史 +

摘要

针对我国自主研发的特高压自耦变压器,依据变压器直流偏磁下磁链与励磁电流的非线性曲线,建立了偏磁电流与无功损耗间关系的数学模型。利用厂家所提供的U-I曲线与铭牌参数,在PSCAD平台中建立仿真模型,通过对比仿真模型与厂家提供的U-I曲线,证明仿真模型能准确地模拟特高压自耦变压器的饱和特性。仿真结果表明,特高压自耦变压器单相无功损耗与单相直流偏磁电流近似呈线性关系,与理论分析的结论一致,流经三相自耦变压器绕组的偏磁电流与其引起无功损耗间的比例系数为2.3。

Abstract

On the basis of nonlinear flux linkages-exciting current curve of the transformer with DC bias,this paper proposes a technique to model the relationship between DC bias and reactive loss, which mainly focused on the UHV autotransformers independently developed by China. The simulation model of a case study is established in PSCAD based on the U-I curve and nameplate values provided by the manufacturer. It is demonstrated that the simulation model can accurately fit the saturation characteristic of UHV autotransformer by comparing with the U-I curve provided by the manufacturer. The results show that, single-phase reactive loss in UHV autotransformers has an approximate linear relation with the single-phase DC bias, which exactly corresponds to the conclusion of theoretical analysis. The ratio coefficient between the bias magnetic current flowing through the three-phase self -coupled winding and the reactive loss is 2.3.

关键词

特高压自耦变压器 / 直流偏磁 / 励磁电流 / 无功损耗

Key words

UHV autotransformer / DC bias / exciting current / reactive loss

引用本文

导出引用
杨培宏, 李亚, 亢岚, 冯士伟. 特高压自耦变压器直流偏磁无功损耗算法研究[J]. 电工电能新技术, 2018, 37(12): 45-51 https://doi.org/10.12067/ATEEE1708071
YANG Pei-hong, LI Ya, KANG Lan, FENG Shi-wei. Analysis of DC bias and reactive loss characteristics of UHV autotransformers based on PSCAD[J]. Advanced Technology of Electrical Engineering and Energy, 2018, 37(12): 45-51 https://doi.org/10.12067/ATEEE1708071
中图分类号: TM411   

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基金

内蒙古自治区自然科学基金项目(2017MS0532; 2017MS(LH)0520)
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