文章摘要
洪泽祺,许寅,和敬涵,等.考虑换流器内部故障的LCC-HVDC动态平均化建模方法[J].电力系统自动化. DOI: 10.7500/AEPS20190526001.
HONG Zeqi,XU Yin,HE Jinghan, et al.Dynamic Average-value Modeling Method of LCC-HVDC System Considering Internal Fault of Converter[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20190526001.
考虑换流器内部故障的LCC-HVDC动态平均化建模方法
Dynamic Average-value Modeling Method of LCC-HVDC System Considering Internal Fault of Converter
DOI:10.7500/AEPS20190526001
关键词: 动态平均化  直流输电  内部故障  交直流混联电网  电磁暂态仿真
KeyWords: average-value modeling  high voltage direct current transmission  inverter side  internal fault  fault instant
上网日期:2019-09-24
基金项目:国家重点研发计划,国家电力公司科技项目
作者单位E-mail
洪泽祺 北京交通大学 hzqi1992@163.com 
许寅 北京交通大学 xuyin@bjtu.edu.cn 
和敬涵 北京交通大学 jhhe@bjtu.edu.cn 
吴海伟 国网江苏省电力有限公司 hzqi1992@163.com 
摘要:
      随着多个高压直流输电工程陆续投入运行,我国输电网呈现交直流混联的特征,其稳态与暂态特性区别于传统的交流互联电网。常规高压直流线路采用晶闸管换流器作为交流系统与直流系统的接口,换流器内部发生故障往往给系统的安全运行带来风险,研究高压直流换流器内部故障对于电网运行的影响,需要建立准确和高效的直流换流器暂态模型。基于分立开关的直流换流器详细模型在仿真过程中需处理大量开关动作事件,计算效率无法满足大规模交直流混联电力系统在线分析的需求。本文提出一种考虑内部故障的高压直流输电系统动态平均化模型,能够准确模拟由于直流换流器内部故障引起的暂态响应,且具有较高的计算效率,并以CIGRE标准直流输电系统为例验证了所提出模型的准确性与高效性。
Abstract:
      With multiple high voltage direct current (HVDC) transmission projects integrated into the network, characteristics of modern transmission system both in steady state and transients are distinguished from the pure AC grid. Line-commutated converters (LCC), known as the interface between AC system and DC-Link, have rick occurring internal faults such as commutation failure, blocking, abnormal opened or shorted switches, etc. Which pose threat to the safety and stability of the power system. Accurate and efficient transient converter model is essential for analysis of the system under fault or other asymmetrical condition. The detailed model is not suitable for the system-level studies due to the inherent switching events. This paper proposed an average-value model of HVDC system that can simulate internal fault condition of the LCCs, the model is implemented on the CIGRE benchmark HVDC system to prove its superiority on accuracy and efficiency compared to the detailed model.
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