基于 MIWO 的光伏系统 MPPT,用于感应电机驱动的水泵系统

S. Anbuchandran , D. Silas Stephen , M. Arumuga Babu , A. Bhuvanesh
{"title":"基于 MIWO 的光伏系统 MPPT,用于感应电机驱动的水泵系统","authors":"S. Anbuchandran ,&nbsp;D. Silas Stephen ,&nbsp;M. Arumuga Babu ,&nbsp;A. Bhuvanesh","doi":"10.1016/j.prime.2024.100835","DOIUrl":null,"url":null,"abstract":"<div><div>Renewable energy source-based Water Pumping Systems (WPSs) have gained popularity for drinking, agricultural, and industrial purposes. Locally situated standalone Photovoltaic (PV) powered WPS can provide a viable water supply solution, especially with induction motors (IM) due to their advantages over other motor types. However, solar PV energy output is greatly influenced by weather conditions, necessitating energy storage systems like batteries, which increase costs and require maintenance. This research proposes an efficient energy management system for a PV-powered IM-driven WPS that does not rely on batteries. The system handles Partial Shading Conditions (PSC) effectively, thanks to a sensorless speed controller combining a Modified Invasive Weed Optimization (MIWO) mechanism with the Perturb and Observe (P&amp;O) method. This controller uses the inverter as an MPPT circuit, eliminating the need for a distinct converter to follow the MPP. The hybrid P&amp;O-MIWO method's outcomes are compared with those of P&amp;O hybridization with GA, PSO, and GWO to assess efficiency under various PSCs. TS-Fuzzy controllers are employed for voltage control at the DC-link and motor speed. The proposed system is analyzed across different scenarios and validated using a Simulink model in MATLAB. Results indicate that the hybrid P&amp;O-MIWO mechanism enhances energy generation from the PV unit without relying on energy storage devices, providing a cost-effective solution for PV-based WPS implementation.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"10 ","pages":"Article 100835"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MIWO based MPPT of PV system for induction motor driven water pumping system\",\"authors\":\"S. Anbuchandran ,&nbsp;D. Silas Stephen ,&nbsp;M. Arumuga Babu ,&nbsp;A. Bhuvanesh\",\"doi\":\"10.1016/j.prime.2024.100835\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Renewable energy source-based Water Pumping Systems (WPSs) have gained popularity for drinking, agricultural, and industrial purposes. Locally situated standalone Photovoltaic (PV) powered WPS can provide a viable water supply solution, especially with induction motors (IM) due to their advantages over other motor types. However, solar PV energy output is greatly influenced by weather conditions, necessitating energy storage systems like batteries, which increase costs and require maintenance. This research proposes an efficient energy management system for a PV-powered IM-driven WPS that does not rely on batteries. The system handles Partial Shading Conditions (PSC) effectively, thanks to a sensorless speed controller combining a Modified Invasive Weed Optimization (MIWO) mechanism with the Perturb and Observe (P&amp;O) method. This controller uses the inverter as an MPPT circuit, eliminating the need for a distinct converter to follow the MPP. The hybrid P&amp;O-MIWO method's outcomes are compared with those of P&amp;O hybridization with GA, PSO, and GWO to assess efficiency under various PSCs. TS-Fuzzy controllers are employed for voltage control at the DC-link and motor speed. The proposed system is analyzed across different scenarios and validated using a Simulink model in MATLAB. Results indicate that the hybrid P&amp;O-MIWO mechanism enhances energy generation from the PV unit without relying on energy storage devices, providing a cost-effective solution for PV-based WPS implementation.</div></div>\",\"PeriodicalId\":100488,\"journal\":{\"name\":\"e-Prime - Advances in Electrical Engineering, Electronics and Energy\",\"volume\":\"10 \",\"pages\":\"Article 100835\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"e-Prime - Advances in Electrical Engineering, Electronics and Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772671124004157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772671124004157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

基于可再生能源的水泵系统(WPS)在饮用水、农业和工业用水方面越来越受欢迎。位于当地的独立光伏(PV)供电 WPS 可以提供可行的供水解决方案,尤其是感应电机(IM),因为它比其他类型的电机更具优势。然而,太阳能光伏发电的能量输出受天气条件的影响很大,需要使用蓄电池等储能系统,这就增加了成本并需要维护。本研究为光伏供电的 IM 驱动型 WPS 提出了一种不依赖电池的高效能源管理系统。该系统能有效处理部分遮光条件(PSC),这要归功于结合了 "改良侵扰优化(MIWO)"机制和 "扰动和观察(P&O)"方法的无传感器速度控制器。该控制器将逆变器用作 MPPT 电路,无需单独的转换器来跟踪 MPP。P&O-MIWO 混合方法的结果与 P&O 与 GA、PSO 和 GWO 混合方法的结果进行了比较,以评估各种 PSC 下的效率。直流链路电压控制和电机速度控制采用了 TS-Fuzzy 控制器。在 MATLAB 中使用 Simulink 模型对所提出的系统进行了不同场景的分析和验证。结果表明,P&O-MIWO 混合机制提高了光伏装置的发电量,而无需依赖储能设备,为基于光伏的 WPS 实施提供了经济高效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
MIWO based MPPT of PV system for induction motor driven water pumping system
Renewable energy source-based Water Pumping Systems (WPSs) have gained popularity for drinking, agricultural, and industrial purposes. Locally situated standalone Photovoltaic (PV) powered WPS can provide a viable water supply solution, especially with induction motors (IM) due to their advantages over other motor types. However, solar PV energy output is greatly influenced by weather conditions, necessitating energy storage systems like batteries, which increase costs and require maintenance. This research proposes an efficient energy management system for a PV-powered IM-driven WPS that does not rely on batteries. The system handles Partial Shading Conditions (PSC) effectively, thanks to a sensorless speed controller combining a Modified Invasive Weed Optimization (MIWO) mechanism with the Perturb and Observe (P&O) method. This controller uses the inverter as an MPPT circuit, eliminating the need for a distinct converter to follow the MPP. The hybrid P&O-MIWO method's outcomes are compared with those of P&O hybridization with GA, PSO, and GWO to assess efficiency under various PSCs. TS-Fuzzy controllers are employed for voltage control at the DC-link and motor speed. The proposed system is analyzed across different scenarios and validated using a Simulink model in MATLAB. Results indicate that the hybrid P&O-MIWO mechanism enhances energy generation from the PV unit without relying on energy storage devices, providing a cost-effective solution for PV-based WPS implementation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
0
期刊最新文献
Modular nine-level single-phase inverter with quadruple voltage gain using reduced blocking voltage switches Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier Exponential function LMS and fractional order pid based voltage power quality enhancement in distribution network A new discrete GaN-based dv/dt control circuit for megahertz frequency power converters Anomaly detection of adversarial cyber attacks on electric vehicle charging stations
×
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