基于指数变步长电导增量法的光伏最大功率点跟踪

doi:10.11930/j.issn.1004-9649.201803193

中国电力 ›› 2018, Vol. 51 ›› Issue (11): 132-138.DOI: 10.11930/j.issn.1004-9649.201803193

基于指数变步长电导增量法的光伏最大功率点跟踪

屠亚南, 于艾清, 薛花, 王育飞

上海电力学院电气工程学院, 上海 200090

收稿日期:2018-04-02 修回日期:2018-05-24 出版日期:2018-11-05 发布日期:2018-11-16
通讯作者: 于艾清(1981-),女,通信作者,博士,副教授,硕士生导师,从事电力系统规划与调度、电力电子系统及其智能控制技术研究,E-mail:yuaiqing@shiep.edu.cn
作者简介:屠亚南(1990-),女,硕士研究生,从事智能优化算法、光伏最大功率点跟踪研究,E-mail:15638215107@163.com;于艾清(1981-),女,通信作者,博士,副教授,从事电力系统规划与调度、智能控制技术研究,E-mail:yuaiqing@shiep.edu.cn;薛花(1979-),女,博士,副教授,从事电力电子新能源研究,E-mail:xuehua@shiep.edu.cn;王育飞(1974-),男,博士,副教授,从事储能应用、电能质量研究,E-mail:wangyufei@shiep.edu.cn
基金资助:
上海绿色能源并网工程技术研究中心（13DZ2251900）；上海市科技创新行动计划项目（16DZ0503300）；上海市科委地方能力建设计划（16020500900）；上海市自然科学基金项目（15ZR1418000）。

Maximum Power Point Tracking for Photovoltaic Systems Based On Exponential Variable Step Size Incremental Conductance Algorithm

TU Yanan, YU Aiqing, XUE Hua, WANG Yufei

College of Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2018-04-02 Revised:2018-05-24 Online:2018-11-05 Published:2018-11-16
Supported by:
This work is supported by Shanghai Engineering Research Center of Green Energy Grid-Connected Technology (No.13DZ2251900) and Shanghai Science and Technology Innovation Action Plan (No.16DZ0503300) and Shanghai Municipal Science and Technology Commission's Local Capacity Construction Plan (No.16020500900), Natural Science Foundation of Shanghai (No.15ZR1418000).

摘要/Abstract

摘要： 光伏最大功率点跟踪方法可以最大限度地利用光伏电池所能产生的电能，已成为提高光伏发电系统运行效率、降低光伏电能成本的研究热点。本文分析了扰动观察法和电导增量法存在收敛速度慢、稳态振荡、陷入局部最优等问题，提出了一种具有阈值判断和变步长功能的指数变步长电导增量法，该方法既具有电导增量法快速跟踪的优点，又能准确、稳定地跟踪到全局最大功率点。进行了不同运行工况下的仿真实验，验证了上述方法的可行性和适用性。

关键词: 阴影, 电导增量法, 扰动观察法, 指数变步长电导增量法

Abstract: Photovoltaic maximum power point tracking algorithms are designed to maximize the usage of electricity generated by photovoltaic cells, which has become a research hotspot to improve the operational efficiency of photovoltaic power generation system and reduce the cost of photovoltaic energy. In this paper, the existing drawbacks are first analyzed such as slow convergence, steady-state oscillation, falling into local optimum and the low efficiency of photovoltaic power generation. Secondly, an exponential variable step size incremental conductance algorithm with threshold value criteria and variable step size is proposed. In addition to the rapid tracing advantage inherited from conventional incremental conductance algorithm, the approach proposed in this paper can track the global maximum power point accurately and stably. Finally, simulation experiments under different operating conditions were carried out to verify the feasibility and applicability of the above algorithm.

Key words: shadow, incremental conductance method, perturb and observe method, index variable step conductance increment method

中图分类号:

TM743

屠亚南, 于艾清, 薛花, 王育飞. 基于指数变步长电导增量法的光伏最大功率点跟踪[J]. 中国电力, 2018, 51(11): 132-138.

TU Yanan, YU Aiqing, XUE Hua, WANG Yufei. Maximum Power Point Tracking for Photovoltaic Systems Based On Exponential Variable Step Size Incremental Conductance Algorithm[J]. Electric Power, 2018, 51(11): 132-138.

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基于指数变步长电导增量法的光伏最大功率点跟踪

Maximum Power Point Tracking for Photovoltaic Systems Based On Exponential Variable Step Size Incremental Conductance Algorithm

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基于指数变步长电导增量法的光伏最大功率点跟踪

Maximum Power Point Tracking for Photovoltaic Systems Based On Exponential Variable Step Size Incremental Conductance Algorithm

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