2025年4月5日 周六
首页 > 过刊浏览>2024年第39卷第5期 >25-35. DOI:10.19781/j.issn.1673-9140.2024.05.003
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光伏发电系统MPPT算法的比较研究
作者:
作者单位:

(西安交通大学电气工程学院(电工材料电气绝缘全国重点实验室)，陕西 西安 710049)

通讯作者:

王发强（1980—），男，博士，副教授，主要从事电力电子方面的研究；E?mail:faqwang@mail.xjtu.edu.cn

中图分类号:

TM615

基金项目:

国家自然科学基金（51377124）；陕西省自然科学基础研究计划资助项目（2024JC?YBMS?372）陕西省自然科学基础研究计划(2024JC?YBMS?372)


A comparative study on MPPT algorithms for photovoltaic power generation systems
Author:
Affiliation:

(State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi 'an Jiaotong University, Xi 'an 710049, China)

  • 摘要
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  • 参考文献 [60]
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    摘要:

    针对光伏电池的非线性输出特性，为提高光伏电池的利用效率，需对其输出的最大功率进行实时跟踪。从光伏电池的输出特性分析出发，在阐述MPPT控制原理的基础上，综述光伏发电系统中最大功率点跟踪技术的算法，对跟踪速度、控制精度及将来研究和应用中需要解决的问题作了探讨。通过实验对比分析不同算法以及同一算法不同参数之间的差异，比较分析电压控制与直接占空比控制的不同。根据实验结果，对各种MPPT算法进行总结，包括跟踪时间、跟踪效率、电压波动等。建议工程应用中的合适场合，从而为光伏并网控制器中重要环节的设计与实现提供参考。最后，展望未来发展趋势。

    Abstract:

    To address the nonlinear output characteristics of photovoltaic (PV) cells and enhance their utilization efficiency, it is crucial to track their maximum power output in real-time. Starting from an analysis of PV cell output characteristics and based on an explanation of the maximum power point tracking (MPPT) control principle, this paper reviews the algorithms for MPPT in photovoltaic power generation systems. It discusses tracking speed, control accuracy, and issues that need to be addressed in future research and applications. Through experimental comparisons, the paper analyzes differences between various algorithms and between different parameters within the same algorithm, as well as the distinctions between voltage control and direct duty cycle control. Based on the experimental results, the paper summarizes various MPPT algorithms, including their tracking time, tracking efficiency, and voltage fluctuations. Recommendations are provided for suitable applications in engineering, offering a reference for the design and implementation of key components in PV grid-connected controllers. Finally, the paper outlines future development trends.

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曹新春,王发强.光伏发电系统MPPT算法的比较研究[J].电力科学与技术学报,2024,39(5):25-35.
CAO Xinchun, WANG Faqiang. A comparative study on MPPT algorithms for photovoltaic power generation systems[J]. Journal of Electric Power Science and Technology,2024,39(5):25-35.

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  • 在线发布日期: 2024-12-02
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