Extension of Distribution Transformer Life in the Presence of Smart Inverter-based Distributed Solar Photovoltaic Systems

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI:10.17775/CSEEJPES.2022.06060
Kanhaiya Kumar;Saran Satsangi;Ganesh Balu Kumbhar
{"title":"Extension of Distribution Transformer Life in the Presence of Smart Inverter-based Distributed Solar Photovoltaic Systems","authors":"Kanhaiya Kumar;Saran Satsangi;Ganesh Balu Kumbhar","doi":"10.17775/CSEEJPES.2022.06060","DOIUrl":null,"url":null,"abstract":"A transformer is an essential but expensive power delivery equipment for a distribution utility. In many distribution utilities worldwide, a sizable percentage of transformers are near the end of their designed life. At the same time, distribution utilities are adopting smart inverter-based distributed solar photovoltaic (SPV) systems to maximize renewable generation. The central objective of this paper is to propose a methodology to quantify the effect of smart inverter-based distributed SPV systems on the aging of distribution transformers. The proposed method is first tested on a modified IEEE-123 node distribution feeder. After that, the procedure is applied to a practical distribution system, i.e., the Indian Institute of Technology (IIT) Roorkee campus, India. The transformer aging models, alongside advanced control functionalities of grid-tied smart inverter-based SPV systems, are implemented in MATLAB. The open-source simulation tool (OpenDSS) is used to model distribution net-works. To analyze effectiveness of various inverter functionalities, time-series simulations are performed using exponential load models, considering daily load curves from multiple seasons, load types, current harmonics, etc. Findings show replacing a traditional inverter with a smart inverter-based SPV system can enable local reactive power generation and may extend the life of a distribution transformer. Simulation results demonstrate, simply by incorporating smart inverter-based SPV systems, transformer aging is reduced by 15% to 22% in comparison to SPV systems operating with traditional inverters.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"88-95"},"PeriodicalIF":6.9000,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322702","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSEE Journal of Power and Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10322702/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

A transformer is an essential but expensive power delivery equipment for a distribution utility. In many distribution utilities worldwide, a sizable percentage of transformers are near the end of their designed life. At the same time, distribution utilities are adopting smart inverter-based distributed solar photovoltaic (SPV) systems to maximize renewable generation. The central objective of this paper is to propose a methodology to quantify the effect of smart inverter-based distributed SPV systems on the aging of distribution transformers. The proposed method is first tested on a modified IEEE-123 node distribution feeder. After that, the procedure is applied to a practical distribution system, i.e., the Indian Institute of Technology (IIT) Roorkee campus, India. The transformer aging models, alongside advanced control functionalities of grid-tied smart inverter-based SPV systems, are implemented in MATLAB. The open-source simulation tool (OpenDSS) is used to model distribution net-works. To analyze effectiveness of various inverter functionalities, time-series simulations are performed using exponential load models, considering daily load curves from multiple seasons, load types, current harmonics, etc. Findings show replacing a traditional inverter with a smart inverter-based SPV system can enable local reactive power generation and may extend the life of a distribution transformer. Simulation results demonstrate, simply by incorporating smart inverter-based SPV systems, transformer aging is reduced by 15% to 22% in comparison to SPV systems operating with traditional inverters.
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
延长基于智能逆变器的分布式太阳能光伏系统的配电变压器寿命
变压器是配电设施中必不可少的电力输送设备,但价格昂贵。在全球许多配电公用事业中,相当大比例的变压器已接近设计寿命。与此同时,配电公司正在采用基于智能逆变器的分布式太阳能光伏 (SPV) 系统,以最大限度地提高可再生能源发电量。本文的核心目标是提出一种方法,量化基于智能逆变器的分布式太阳能光伏系统对配电变压器老化的影响。提出的方法首先在改进的 IEEE-123 节点配电馈线上进行测试。然后,将该程序应用于实际配电系统,即印度印度理工学院(IIT)罗基校区。变压器老化模型以及基于并网智能逆变器的 SPV 系统的高级控制功能均在 MATLAB 中实现。开源仿真工具(OpenDSS)用于配电网建模。为了分析各种逆变器功能的有效性,使用指数负荷模型进行了时间序列模拟,考虑了多个季节的日负荷曲线、负荷类型、电流谐波等。研究结果表明,用基于智能逆变器的 SPV 系统取代传统逆变器可实现本地无功发电,并可延长配电变压器的使用寿命。仿真结果表明,与使用传统逆变器的 SPV 系统相比,只需采用基于智能逆变器的 SPV 系统,变压器的老化程度就可降低 15% 至 22%。
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
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
期刊最新文献
Transient Voltage Support Strategy of Grid-Forming Medium Voltage Photovoltaic Converter in the LCC-HVDC System Front Cover Contents PFL-DSSE: A Personalized Federated Learning Approach for Distribution System State Estimation Front Cover
×
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