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含微网智能配网自愈过程过电压影响因素
胡军 ; 蔡静文 ; 何金良 ; 张若兵 ; 殷禹 ; HU Jun ; CAI Jingwen ; HE Jinliang ; ZHANG Ruobing ; YIN Yu
2016-03-30 ; 2016-03-30
关键词微网 智能配网 配网自愈 过电压 影响因素 PSCAD microgrid smart distribution network self-healing of distribution network switching overvoltage influen-cing factor PSCAD TM863
其他题名Factors Impacting Self-healing Overvoltage of Smart Distribution Network Connected with Microgrids
中文摘要为了研究含微网的智能配网自愈过程过电压受不同因素影响的变化规律,针对短路故障下的这种过电压问题,搭建了含微网的智能配网仿真模型,选取一个故障位置与一种故障类型及对应的自愈过程作为研究内容,分别探讨了微网规模、配网规模和配网电缆长度等因素对过电压的影响。仿真结果表明:仿真系统的最大过电压随微网规模的扩大在整体上呈增大的变化趋势,随配网规模的扩大在整体上呈现减小的变化趋势,随配网电缆长度的增大则呈先减小后增大的变化趋势。仿真结果可作为实际系统针对性的过电压保护设计的参考依据。; In order to investigate the regularity of self-healing overvoltage in smart distribution network that connected with microgrids and affected by different factors, especially the overvoltage in short-circuited network, we established a model of smart distribution network connected with microgrids. Furthermore, taking a position, a type of short circuit fault, and the respective self-healing process as the samples, we analyzed influential factors on overvoltage such as microgrid scale, distribution network scale, and cable length in distribution network, respectively. The simulation indicates that the maximum overvoltage of model system increases with the scale of microgrid, decreases with increasing scale of distribution network, and firstly decreases then increases when the cable length increases. These results can be used for references in specified overvoltage protecting designs of practical smart distribution network connected with microgrids.
语种中文 ; 中文
内容类型期刊论文
源URL[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/142523]  
专题清华大学
推荐引用方式
GB/T 7714
胡军,蔡静文,何金良,等. 含微网智能配网自愈过程过电压影响因素[J],2016, 2016.
APA 胡军.,蔡静文.,何金良.,张若兵.,殷禹.,...&YIN Yu.(2016).含微网智能配网自愈过程过电压影响因素..
MLA 胡军,et al."含微网智能配网自愈过程过电压影响因素".(2016).
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