Assessment of voltage unbalance due to single phase rooftop photovoltaic panels in residential low voltage distribution network: A study on a real LV network in Western Australia

A. Kharrazi, V. Sreeram, Yateendra Mishra
{"title":"Assessment of voltage unbalance due to single phase rooftop photovoltaic panels in residential low voltage distribution network: A study on a real LV network in Western Australia","authors":"A. Kharrazi, V. Sreeram, Yateendra Mishra","doi":"10.1109/AUPEC.2017.8282506","DOIUrl":null,"url":null,"abstract":"Voltage and current unbalance are common power quality problems in power grids. The penetration of single phase inverter interface photovoltaic panels will impact the voltage profile and voltage unbalance index of Low and Medium voltage distribution network. Due to lack of sufficient monitoring point in the distribution network, an assessment method of evaluating the voltage unbalance index is of paramount importance. Due to stochastic nature of the location and rating of photovoltaic panels, a probabilistic method based on Monte Carlo simulation is proposed to assess the voltage unbalance factor. The simulation is run using MATLAB and PowerFactory, based on proposed data exchange between the two software packages. The effect of the timing mismatch between solar generation and load profile is also studied using a time sweep simulation. The result of simulation shows that there is a low probability that the penetration of photovoltaic panels render the voltage unbalance factor to exceed the limits. However, the variation of solar generation and loads during the day might be of concern, especially during low demands periods.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Australasian Universities Power Engineering Conference (AUPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUPEC.2017.8282506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

Voltage and current unbalance are common power quality problems in power grids. The penetration of single phase inverter interface photovoltaic panels will impact the voltage profile and voltage unbalance index of Low and Medium voltage distribution network. Due to lack of sufficient monitoring point in the distribution network, an assessment method of evaluating the voltage unbalance index is of paramount importance. Due to stochastic nature of the location and rating of photovoltaic panels, a probabilistic method based on Monte Carlo simulation is proposed to assess the voltage unbalance factor. The simulation is run using MATLAB and PowerFactory, based on proposed data exchange between the two software packages. The effect of the timing mismatch between solar generation and load profile is also studied using a time sweep simulation. The result of simulation shows that there is a low probability that the penetration of photovoltaic panels render the voltage unbalance factor to exceed the limits. However, the variation of solar generation and loads during the day might be of concern, especially during low demands periods.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
住宅低压配电网中单相屋顶光伏板电压不平衡评估——基于西澳大利亚实际低压电网的研究
电压和电流不平衡是电网中常见的电能质量问题。单相逆变器接口光伏板的侵彻将影响低压和中压配电网的电压分布和电压不平衡指标。由于配电网缺乏足够的监测点,一种评估电压不平衡指标的评估方法至关重要。针对光伏板位置和额定值的随机性,提出了一种基于蒙特卡罗模拟的概率方法来评估电压不平衡因素。利用MATLAB和PowerFactory进行仿真,并基于所提出的两个软件包之间的数据交换。利用时间扫描仿真研究了太阳能发电与负荷分布时序不匹配的影响。仿真结果表明,光伏板的侵彻使电压不平衡系数超过限值的概率很小。然而,白天太阳能发电和负荷的变化可能是值得关注的,特别是在低需求时期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effect of automatic hyperparameter tuning for residential load forecasting via deep learning Hybrid power plant bidding strategy including a commercial compressed air energy storage aggregator and a wind power producer Modeling of multi-junction solar cells for maximum power point tracking to improve the conversion efficiency The importance of lightning education and a lightning protection risk assessment to reduce fatalities Recent advances in common mode voltage mitigation techniques based on MPC
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1