电子学报 ›› 2020, Vol. 48 ›› Issue (10): 2017-2024.DOI: 10.3969/j.issn.0372-2112.2020.10.020

• 学术论文 • 上一篇    下一篇

一种基于改进羊群算法的光伏系统最大功率跟踪策略

吴忠强, 谢宗奎, 王国勇, 卢雪琴, 何怡林   

  1. 燕山大学工业计算机控制工程河北省重点实验室, 河北秦皇岛 066004
  • 收稿日期:2019-07-24 修回日期:2019-10-11 出版日期:2020-10-25 发布日期:2020-10-25
  • 作者简介:吴忠强 男,1966年9月出生,黑龙江齐齐哈尔人.1989年、1992年和2003年分别在东北重型机械学院、燕山大学和中国矿业大学获工学学士、工学硕士和工学博士学位.现为燕山大学教授、博士生导师,主要从事新能源发电系统的状态监测与控制、参数测量与辨识、能量管理与优化等方面的研究.E-mail:mewzq@163.com
    谢宗奎 男,1995年11月出生,河北保定人.现为燕山大学电气工程学院硕士生,主要从事光伏发电系统的状态监测与控制、参数测量与辨识等方面的研究.E-mail:991908082@qq.com
  • 基金资助:
    河北省自然科学基金(No.F2016203006)

A Maximum Power Point Tracking Strategy for Photovoltaic System Based on Improved Sheep Behaviors Optimization

WU Zhong-qiang, XIE Zong-kui, WANG Guo-yong, LU Xue-qin, HE Yi-lin   

  1. Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
  • Received:2019-07-24 Revised:2019-10-11 Online:2020-10-25 Published:2020-10-25

摘要: 针对传统控制算法在局部遮蔽条件下无法持续准确地跟踪最大输出功率点,提出一种基于改进羊群算法的光伏系统最大功率跟踪策略.在羊群算法中引入扰动算子、反向种群和自适应放牧概率,以增强算法的局部开发能力,提高算法的寻优精度.均匀光照、局部遮蔽和变照度3种条件下的实验结果表明,改进羊群算法在不同环境条件下均能持续稳定地跟踪最大功率点,在收敛时间和收敛精度上均有较大优势,验证了该算法在最大功率点跟踪控制中的可行性.

关键词: 光伏系统, 羊群算法, 局部遮蔽, 最大功率跟踪

Abstract: Aiming at the fact that traditional control algorithm cannot continuously and accurately track the maximum power point under the condition of partial shading,a strategy for photovoltaic systems based on improved sheep behaviors optimization was proposed.Disturbance operator,reverse position and adaptive factor were introduced in sheep behaviors optimization to enhance the local development ability,and improve the optimization accuracy of the algorithm.The experimental results under the conditions of uniform illumination,partial shading and variable irradiation show that the improved sheep behaviors optimization can steadily track the maximum power point under different environmental conditions,and the algorithm has greater advantages in convergence time and convergence accuracy,verifying the feasibility of this algorithm in the maximum power point tracking control.

Key words: photovoltaic system, sheep behaviors optimization, partial shading, maximum power point tracking

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