电气工程学报 ›› 2017, Vol. 12 ›› Issue (6): 41-46.doi: 10.11985/2017.06.008

• 工程技术 • 上一篇    

基于二进制蚁群模糊神经网络的光伏系统MPPT控制算法研究

杨东海1,刘洋2,王毅2,谢卫华2   

  1. 1. 河南龙源许继科技发展股份有限公司 郑州 450011
    2. 许继集团有限公司 许昌 461000
  • 收稿日期:2016-08-23 出版日期:2017-06-25 发布日期:2019-12-20
  • 作者简介:杨东海 男 1973年生,工程师,从事智能电网领域方面的工作。|刘 洋 男 1986年生,博士,研究方向为交直流混合微电网保护与控制。

Research on MPPT Control Algorithm of Photovoltaic System by Binary Ant Colony Algorithm and Fuzzy Neural Network

Yang Donghai1,Liu Yang2,Wang Yi2,Xie Weihua2   

  1. 1. Henan Longyuan XJ Technology Development Limited by Share Ltd.Zhengzhou 450011 China
    2. XJ Group Corporation Xuchang 461000 China
  • Received:2016-08-23 Online:2017-06-25 Published:2019-12-20

摘要:

最大功率点跟踪(MPPT)控制可以使光伏模块最大程度地输出功率,因此成为增强光伏发电系统输出功率的一个研究热点。本文提出一种基于二进制蚁群模糊神经网络的光伏系统最大功率点跟踪控制策略,利用模糊神经网络代替传统的BP神经网络对最大功率点进行预测,解决了恒压控制法误差较大的问题;利用二进制蚁群算法对模糊神经网络权值进行优化,克服了其搜索速度慢、易陷入局部极小值的缺点;将得到的最大功率点电压输入恒电压控制算法中,然后通过恒压法对最大功率点进行跟踪。在所构建的仿真模型中模拟了不同光照强度和环境温度的仿真环境,结果表明所提出的MPPT控制策略准确性高、适应性强。

关键词: 最大功率点跟踪, 恒压法, 二进制蚁群算法, 模糊神经网, 权值优化

Abstract:

Maximum power point tracking (MPPT) control which can make photovoltaic module output power furthest has been a research hotspot for enhancing the output power of the photovoltaic system. In the paper, a MPPT control algorithm of photovoltaic system by binary ant colony algorithm (BACA) and fuzzy neural network (FNN) is proposed. FNN is used for substituting BP neural network to forecast the maximum power point, which solved the big error problem of the constant voltage control method; BACA is used to optimize the weights of the FNN, which overcame the shortcomings of slow scouting speed and local minimum. The voltages gotten at the maximum power points are input to the constant voltage control algorithm, then the maximum power points could be tracked by the constant voltage control method. The simulation environments at different light intensity and different ambient temperature are constructed in the simulation model, the results showed that the MPPT control algorithmproposed in this paper had a high accuracy and good adaptability.

Key words: MPPT, constant voltage control method, BACA, FNN, weight optimization

中图分类号: