• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过谐波抑制和负荷管理提高混合能源供电的电动汽车充电站的稳定性和电能质量。

Enhancing stability and power quality in electric vehicle charging stations powered by hybrid energy sources through harmonic mitigation and load management.

作者信息

Elazim Sahar M Abd, Elkholy M H, Elgarhy A, Senjyu Tomonobu, Gamil Mahmoud M, Song Dongran, Ali Ehab S, Ludin Gul Ahmad, Irshad Ahmad Shah, Lotfy Mohammed Elsayed

机构信息

Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jizan, 45142, Saudi Arabia.

Electrical Power and Machines, Faculty of Engineering, Zagazig University, P.O. 44519, Zagazig, Egypt.

出版信息

Sci Rep. 2025 Aug 1;15(1):28077. doi: 10.1038/s41598-025-14143-4.

DOI:10.1038/s41598-025-14143-4
PMID:40751079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12316865/
Abstract

Growing integration of renewable energy sources (RESs) into power grids has several advantages, including reduced greenhouse gas emissions and improved energy sustainability. Despite the related benefits, RES integration also poses actual challenges, such as power quality, voltage fluctuation, and reliability concerns. This study conducts a comprehensive performance evaluation of a grid-integrated microgrid consisting of an electric vehicle (EV) charging station, wherein the Volkswagen ID4 Crozz has been adopted as the standard EV model. The microgrid will consist of solar panels, a wind energy conversion system (WECS), and a battery energy storage system (BESS), which will be used for the supply of electricity economically with a reliable power supply. ETAP simulates various operating conditions to analyze their impact on voltage stability and power quality. This study investigates the impact of EV integration on power quality and applies advanced load management strategies, such as partial loading, selective disconnection, and coordinated renewable integration. A scenario-based optimization approach is used to minimize harmonic distortion and improve voltage stability. Among the configurations that were being compared, the 60% load configuration was superior, where the 5th harmonic distortion was 0.42% and the 11th was 0.55%, performing superior to full-load and other disconnection configurations of chargers. The configuration also had superior and stable voltage levels, which bear witness to its effectiveness in enhancing power quality as well as grid stability.

摘要

可再生能源(RES)越来越多地融入电网有诸多优势,包括减少温室气体排放和提高能源可持续性。尽管有这些相关益处,但可再生能源的整合也带来了实际挑战,如电能质量、电压波动和可靠性问题。本研究对一个由电动汽车(EV)充电站组成的并网微电网进行了全面的性能评估,其中采用大众ID4 Crozz作为标准电动汽车型号。该微电网将由太阳能板、风能转换系统(WECS)和电池储能系统(BESS)组成,这些将用于以可靠的电力供应经济地供电。ETAP模拟各种运行条件以分析它们对电压稳定性和电能质量的影响。本研究调查了电动汽车整合对电能质量的影响,并应用了先进的负荷管理策略,如部分负荷、选择性断开和协调可再生能源整合。采用基于场景的优化方法来最小化谐波失真并提高电压稳定性。在所比较的配置中,60%负荷配置表现更优,其中第5次谐波失真为0.42%,第11次为0.55%,优于充电器的满负荷和其他断开配置。该配置还具有更优且稳定的电压水平,这证明了其在提高电能质量以及电网稳定性方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/5fdcb48ea5fc/41598_2025_14143_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/75ab7872916c/41598_2025_14143_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/32baf79d12ca/41598_2025_14143_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/e486c119cc94/41598_2025_14143_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/7e8fa57f744b/41598_2025_14143_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/dce932c8dd49/41598_2025_14143_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/5c644f3a167e/41598_2025_14143_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/1ae6f36b5804/41598_2025_14143_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/2353e07bcc01/41598_2025_14143_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/eab7a79e20be/41598_2025_14143_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/84e564ad2368/41598_2025_14143_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/bb893c92012f/41598_2025_14143_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/a679d8978822/41598_2025_14143_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/7f9c82e7e48e/41598_2025_14143_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/cfd7775186a2/41598_2025_14143_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/7f90bd727a5c/41598_2025_14143_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/ce7f435457c2/41598_2025_14143_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/5fdcb48ea5fc/41598_2025_14143_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/75ab7872916c/41598_2025_14143_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/32baf79d12ca/41598_2025_14143_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/e486c119cc94/41598_2025_14143_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/7e8fa57f744b/41598_2025_14143_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/dce932c8dd49/41598_2025_14143_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/5c644f3a167e/41598_2025_14143_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/1ae6f36b5804/41598_2025_14143_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/2353e07bcc01/41598_2025_14143_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/eab7a79e20be/41598_2025_14143_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/84e564ad2368/41598_2025_14143_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/bb893c92012f/41598_2025_14143_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/a679d8978822/41598_2025_14143_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/7f9c82e7e48e/41598_2025_14143_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/cfd7775186a2/41598_2025_14143_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/7f90bd727a5c/41598_2025_14143_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/ce7f435457c2/41598_2025_14143_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb6/12316865/5fdcb48ea5fc/41598_2025_14143_Fig17_HTML.jpg

相似文献

1
Enhancing stability and power quality in electric vehicle charging stations powered by hybrid energy sources through harmonic mitigation and load management.通过谐波抑制和负荷管理提高混合能源供电的电动汽车充电站的稳定性和电能质量。
Sci Rep. 2025 Aug 1;15(1):28077. doi: 10.1038/s41598-025-14143-4.
2
Data-driven EV charging infrastructure with uncertainty based on a spatial-temporal flow-driven (STFD) models considering batteries.基于考虑电池的时空流量驱动(STFD)模型的具有不确定性的数据驱动型电动汽车充电基础设施
Sci Rep. 2025 Jul 25;15(1):27056. doi: 10.1038/s41598-025-12079-3.
3
Power management enhancement and smoothing DC voltage using integrated BESS and SMES in Off-grid hybrid AC/DC microgrid based on ILCs.基于内模控制的离网混合交直流微电网中使用集成电池储能系统和超导磁储能系统增强功率管理并平滑直流电压
Sci Rep. 2025 Jul 2;15(1):23125. doi: 10.1038/s41598-025-07873-y.
4
Stochastic economic placement and sizing of electric vehicles charging station with renewable units and battery bank in smart distribution network.智能配电网中含可再生能源机组和电池组的电动汽车充电站的随机经济布局与容量确定
Sci Rep. 2025 Jul 7;15(1):24235. doi: 10.1038/s41598-025-10391-6.
5
Enhanced CPCV algorithm for improving power quality in electric vehicle battery charging.用于改善电动汽车电池充电电能质量的增强型CPCV算法。
Sci Rep. 2025 Jul 4;15(1):23896. doi: 10.1038/s41598-025-04116-y.
6
Enhancing MPPT optimization with hybrid predictive control and adaptive P&O for better efficiency and power quality in PV systems.采用混合预测控制和自适应扰动观察法增强最大功率点跟踪(MPPT)优化,以提高光伏系统的效率和电能质量。
Sci Rep. 2025 Jul 8;15(1):24559. doi: 10.1038/s41598-025-10335-0.
7
Short-Term Memory Impairment短期记忆障碍
8
Multi-objective stochastic model optimal operation of smart microgrids coalition with penetration renewable energy resources with demand responses.含需求响应的含可再生能源渗透的智能微电网联盟多目标随机模型优化运行
Sci Rep. 2025 Jul 1;15(1):22443. doi: 10.1038/s41598-025-04958-6.
9
Home treatment for mental health problems: a systematic review.心理健康问题的居家治疗:一项系统综述
Health Technol Assess. 2001;5(15):1-139. doi: 10.3310/hta5150.
10
A hybrid renewable energy system with advanced control strategies for improved grid stability and power quality.一种具有先进控制策略的混合可再生能源系统,用于提高电网稳定性和电能质量。
Sci Rep. 2025 Jul 2;15(1):23445. doi: 10.1038/s41598-025-06091-w.

本文引用的文献

1
A flexible multi-agent system for managing demand and variability in hybrid energy systems for rural communities.一种用于管理农村社区混合能源系统中的需求和可变性的灵活多智能体系统。
Sci Rep. 2025 May 9;15(1):16255. doi: 10.1038/s41598-025-01288-5.
2
Deep Learning-Based Recognition and Classification of Soiled Photovoltaic Modules Using HALCON Software for Solar Cleaning Robots.基于深度学习的使用HALCON软件对太阳能清洁机器人脏污光伏组件的识别与分类
Sensors (Basel). 2025 Feb 20;25(5):1295. doi: 10.3390/s25051295.