• 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

A novel coarse and fine control algorithm to improve Maximum Power Point Tracking (MPPT) efficiency in photovoltaic system.

作者信息

M Kavya, S Jayalalitha

机构信息

School of Electrical and Electronics Engineering, SASTRA Deemed to be University, Thanjavur, India.

School of Electrical and Electronics Engineering, SASTRA Deemed to be University, Thanjavur, India.

出版信息

ISA Trans. 2022 Feb;121:180-190. doi: 10.1016/j.isatra.2021.03.036. Epub 2021 Mar 29.

DOI:10.1016/j.isatra.2021.03.036
PMID:33840459
Abstract

The Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm in solar Photovoltaics (PV) is popular owing to its simplicity. However, its drawbacks, (i) operating point divergence and (ii) tradeoff between fast convergence and balanced state oscillations decelerate the usage. Most of the developments in the literature to overcome these drawbacks increase complexity. To retain simplicity and also to improve tracking efficiency, this paper proposes a Coarse and fine control algorithm. This proposal has distinct aspects, having three control modes. Mode 1 and 2 enhance fast convergence and mode 3 controls stable state oscillations. The comparative analysis from simulation proves that the proposed technique has fast convergence, reduced balanced state oscillations, better tracking efficiency, and minimum transient power loss than the other techniques.

摘要

相似文献

1
A novel coarse and fine control algorithm to improve Maximum Power Point Tracking (MPPT) efficiency in photovoltaic system.
ISA Trans. 2022 Feb;121:180-190. doi: 10.1016/j.isatra.2021.03.036. Epub 2021 Mar 29.
2
High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications.用于光伏应用的具有鲁棒智能滑模最大功率点跟踪功能的高性能纯正弦波逆变器。
Micromachines (Basel). 2020 Jun 11;11(6):585. doi: 10.3390/mi11060585.
3
Rapidly Determine the Maximum Power Point in the Parallel Configuration of the Photovoltaic System.快速确定光伏系统并联配置中的最大功率点。
Sensors (Basel). 2023 Aug 29;23(17):7503. doi: 10.3390/s23177503.
4
Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning.基于强化学习的光伏系统最大功率点跟踪。
Sensors (Basel). 2019 Nov 19;19(22):5054. doi: 10.3390/s19225054.
5
Experimental validation of a low-cost maximum power point tracking technique based on artificial neural network for photovoltaic systems.基于人工神经网络的光伏系统低成本最大功率点跟踪技术的实验验证
Sci Rep. 2024 Aug 7;14(1):18280. doi: 10.1038/s41598-024-67306-0.
6
An improved MPPT scheme employing adaptive integral derivative sliding mode control for photovoltaic systems under fast irradiation changes.一种改进的 MPPT 方案,采用自适应积分微分滑模控制,用于快速辐照度变化下的光伏系统。
ISA Trans. 2019 Apr;87:297-306. doi: 10.1016/j.isatra.2018.11.020. Epub 2018 Nov 26.
7
Real-time implementation of a novel MPPT control based on the improved PSO algorithm using an adaptive factor selection strategy for photovoltaic systems.基于改进粒子群优化算法并采用自适应因子选择策略的新型最大功率点跟踪控制在光伏系统中的实时实现
ISA Trans. 2024 Mar;146:496-510. doi: 10.1016/j.isatra.2023.12.024. Epub 2023 Dec 20.
8
A novel hybrid GWO-PSO-based maximum power point tracking for photovoltaic systems operating under partial shading conditions.一种基于新型混合灰狼算法-粒子群优化算法的最大功率点跟踪方法,用于在部分阴影条件下运行的光伏系统。
Sci Rep. 2022 Jun 23;12(1):10637. doi: 10.1038/s41598-022-14733-6.
9
Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic.结合元启发式、模糊逻辑和人工神经网络技术的有前途的最大功率点跟踪方法用于并网光伏。
Sensors (Basel). 2021 Feb 10;21(4):1244. doi: 10.3390/s21041244.
10
RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system.基于 RBF 神经网络的反推终端滑模 MPPT 控制技术在光伏系统中的应用。
PLoS One. 2021 Apr 8;16(4):e0249705. doi: 10.1371/journal.pone.0249705. eCollection 2021.

引用本文的文献

1
A novel war strategy optimization algorithm based maximum power point tracking method for PV systems under partial shading conditions.一种基于新型战争策略优化算法的部分阴影条件下光伏系统最大功率点跟踪方法。
Sci Rep. 2025 May 30;15(1):19098. doi: 10.1038/s41598-025-04733-7.
2
A new intelligently optimized model reference adaptive controller using GA and WOA-based MPPT techniques for photovoltaic systems.一种用于光伏系统的基于遗传算法(GA)和基于鲸鱼优化算法(WOA)的最大功率点跟踪(MPPT)技术的新型智能优化模型参考自适应控制器。
Sci Rep. 2024 Mar 21;14(1):6827. doi: 10.1038/s41598-024-57610-0.