功率因数与电压跌落深度双影响因子下中压H桥链式动态电压恢复器的滤波器优化设计

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摘要中压H桥链式动态电压恢复器(DVR)是一种串联接入中压配电网的电压闪变抑制装置,其输出侧滤波器参数的优化匹配,是关乎装置性能与成本的关键问题。系统分析了中压H桥链式DVR输出侧滤波器的设计需求,详细推导了滤波器参数取值的边界约束条件。同时,针对功率因数和电压跌落深度对滤波器元件取值的影响开展研究,提出一种综合权衡双影响因子的滤波器参数优化设计方法,并用之求解出10 kV/2 MW工业样机的最佳匹配参数,且在Matlab/Simulink中给予了相关仿真证明。最后,样机在10 kV工况下的良好静态、动态实验结果进一步验证了所提方法的有效性。

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	陈国栋
	朱淼
	蔡旭

关键词 ：动态电压恢复器, H桥链式, LC滤波器, 双影响因子

Abstract：The medium-voltage cascaded H-bridge dynamic voltage restorer (DVR) is embedded into the grid in series for suppressing voltage sags.The parameter selection of the LC filter in the DVR is a key factor which decides the cost and volume of the DVR.Therefore,the paper discusses the requirement of the LC filter in the medium-voltage cascaded H-bridge DVR systematically,then derives boundary conditions of the inductance and the capacitance,and analyzes parameter variations under different conditions of voltage sags depth and power factors.Finally,an optimized design method of the LC filter is proposed for the medium-voltage cascaded H-bridge DVR with the consideration of double impact factors.The LC filter optimization procedure of the 10 kV/2 MW DVR prototype is presented in detail,and the validity is demonstrated by the simulation in Matlab/Simulink and experimental results in static and dynamic test.

Key words： Dynamic voltage restorer cascaded H-bridge LC filter double impact factors

收稿日期: 2014-06-21 出版日期: 2016-07-07

PACS:	TM714
	TM464

基金资助:国家高技术研究发展计划(863计划)(2011AA05A111)和上海市青年科技启明星计划(11QB1401500)资助项目。

通讯作者: 陈国栋男,1982年生,博士研究生,工程师,研究方向为电能质量控制技术和大功率电力电子变换技术。E-mail:chengd@shanghai-electric.com(通信作者)

作者简介: 朱淼男,1978年生,教授,博士生导师,青年千人计划,特别研究员,研究方向为电能质量控制技术和大功率电力电子变换技术。E-mail:miaozhu@sjtu.edu.cn

引用本文:

陈国栋, 朱淼, 蔡旭. 功率因数与电压跌落深度双影响因子下中压H桥链式动态电压恢复器的滤波器优化设计[J]. 电工技术学报, 2016, 31(9): 75-84. Chen Guodong, Zhu Miao, Cai Xu. Optimization of Filter Based on Power Factor and Voltage Sag Depth for Medium-Voltage Cascaded H-Bridge Dynamic Voltage Restorer. Transactions of China Electrotechnical Society, 2016, 31(9): 75-84.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I9/75

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