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基于最优初值电导增量控制的光伏系统最大功率跟踪策略

赵健 周雪松 马幼捷

电力系统及其自动化学报2017,Vol.29Issue(4):20-28,9.
电力系统及其自动化学报2017,Vol.29Issue(4):20-28,9.DOI:10.3969/j.issn.1003-8930.2017.04.004

基于最优初值电导增量控制的光伏系统最大功率跟踪策略

Maximum Power Point Tracking Strategy for Photovoltaic System Based on Optimal Initial Value of Incremental Conductance Control

赵健 1周雪松 2马幼捷2

作者信息

  • 1. 天津大学电气自动化与信息工程学院,天津300072
  • 2. 天津理工大学自动化学院,天津300384
  • 折叠

摘要

Abstract

In this paper,a nonlinear function relationship is established between the time varying environmental parameters and any operation voltage or current at first,thus the time varying environmental parameters of the solar cell under operation can be calculated in real time.Then,the function relationship between the time varying environmental parameters and the current at the theoretical maximum power point is determined,so the above current can be calculated rapidly with the known environmental parameters.Finally,considering that there is difference between the theoretical maximum power point and the actual maximum power point under operation in a practical project,it is suggested that the current at the theoretical maximum power point should be used as the initial value of the incremental conductance method.In this way,an accurate steady-state tracking is realized by using the small-step incremental conductance method.Experimental results show that the illumination calculation is relatively accurate,and simulation results based on the illumination calculation show that the proposed control strategy can accurately track the power at the maximum power point with good accuracy and without oscillation even under low-irradiation conditions.

关键词

光伏系统/最大功率跟踪/最优初值/时变环境参数

Key words

photovoltaic (PV) system/maximum power point tracking (MPPT)/optimal initial value (OIV)/time varying environmental parameter

分类

信息技术与安全科学

引用本文复制引用

赵健,周雪松,马幼捷..基于最优初值电导增量控制的光伏系统最大功率跟踪策略[J].电力系统及其自动化学报,2017,29(4):20-28,9.

基金项目

国家自然科学基金资助项目(50877053) (50877053)

天津市自然科学基金资助项目(09JCYBJC07100). (09JCYBJC07100)

电力系统及其自动化学报

OA北大核心CSCDCSTPCD

1003-8930

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