Global Maximum Power Point Tracking for PV Array Based on Support Vector Regression Optimized by Improved Whale Algorithm

被引：0
|
作者：
Li J. [1 ,2 ]
Zhang W. [1 ,2 ]
Zhao X. [1 ]
Liu B. [1 ]
Zheng Y. [1 ]
机构：
[1] College of Electrical Engineering, Guangxi University, Nanning
[2] Guangxi Key Laboratory of Power System Optimization and Energy Technology, Nanning
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2021年 / 36卷 / 09期
关键词：
Logarithmic factor; Maximum power point tracking(MPPT); Partial shading; Stochastic differential mutation; Support vector regression(SVR); Whale algorithm;
D O I：
10.19595/j.cnki.1000-6753.tces.L90470
中图分类号：
学科分类号：
摘要：
In view of the fact that the P-U characteristic curve of the photovoltaic array is under partial shading, it shows the characteristics of multiple extreme points, traditional MPPT algorithm is difficult to jump out of local optimum and track the maximum power point accurately due to the search mechanism. Therefore, the author put forward a maximum power point tracking method based on support vector regression (SVR) optimized by improved whale algorithm. The method introduces logarithmic weight factor and stochastic differential mutation strategy on the basis of common whale algorithm to improve the coordination performance of the algorithm in global exploration and local development and improve the capability to avoid falling intolocal optimization. The improved whale algorithm is used to optimize SVR parameters to establish a photovoltaic array maximum power point voltage prediction model, which is combined with incremental conductance method (INC) and applied to MPPT control. Results of Matlab/Simulink simulation show that the proposed compound MPPT control algorithm have ability to avoid falling into local optimization effectively under various partial shading and illumination intensity mutation, and track the global maximum power pointquickly and accurately. © 2021, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码：1771 / 1781
页数：10
相关论文
共 26 条
  • [1] Mohammadreza A, Kazem P., A novel reconfiguration procedure to extract maximum power from partially-shaded photovoltaic arrays, Solar Energy, 173, pp. 110-119, (2018)
  • [2] Li Tao, Hu Weihao, Li Jian, Et al., Intelligent economic dispatch for PV-PHS integrated system: a deep reinforcement learning-based approach, Trans-actions of China Electrotechnical Society, 35, 13, pp. 2757-2768, (2020)
  • [3] Lai Changwei, Li Jinghua, Chen Bo, Et al., Review of photovoltaic power output prediction technology, Transactions of China Electrotechnical Society, 34, 6, pp. 1201-1217, (2019)
  • [4] Xu Kehan, Zhang Zhe, Liu Huiyuan, Et al., Study on fault characteristics and its related impact factors of photovoltaic generator, Transactions of China Electrotechnical Society, 35, 2, pp. 359-371, (2020)
  • [5] Yang Huibiao, Jia Qi, Xiang Li, Et al., Virtual inertia control strategies for double-stage photovoltaic power generation, Automation of Electric Power Systems, 43, 10, pp. 87-102, (2019)
  • [6] Zheng Qingjie, Chen Wei, Study on PV inverter ground leakage current reduction technology based on the coupling inductor, Electric Machines and Control, 24, 6, pp. 43-54, (2020)
  • [7] Nie Xiaohua, Lai Jiajun, A survey on tracking and control approaches for global maximum power point of photovoltaic arrays in partially shaded environment, Power System Technology, 38, 12, pp. 3279-3285, (2014)
  • [8] Zhang Mingrui, Chen Zheyang, Wei Li, Application of immune firefly algorithms in photovoltaic array maximum power point tracking, Transactions of China Electrotechnical Society, 35, 7, pp. 1553-1562, (2020)
  • [9] Mohanty S, Subudhi B, Ray P K., A grey wolf-assisted perturb & observe MPPT algorithm for a PV system, IEEE Transactions on Energy Conversion, 32, 1, pp. 340-347, (2017)
  • [10] Tey K S, Mekhilef S., Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level, Solar Energy, 101, 1, pp. 333-342, (2014)
123