Determining Optimal Membership Functions of a FLC-based MPPT Algorithm Using the Particle Swarm Optimization Method

被引：5
|
作者：
Liu, Yi-Hua [1 ]
Wang, Shun-Chung [2 ]
Peng, Bo-Ruei [1 ]
机构：
[1] NTUST, Dept EE, Taipei, Taiwan
[2] LIIU, Dept EE, Taoyuan, Taiwan
来源：
PROCEEDINGS 2016 5TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS IIAI-AAI 2016 | 2016年
关键词：
fuzzy logic control; maximum power point tracking; particle swarm optimization; POWER POINT TRACKING; FUZZY-LOGIC CONTROLLER; SYSTEMS;
D O I：
10.1109/IIAI-AAI.2016.123
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Fuzzy-logic-control (FLC)-based maximum power point tracking (MPPT) algorithm can successfully deal with the transient time/tracking accuracy dilemma of the commonly utilized perturb and observe (P&O) method; however, optimal setting of the membership functions (MFs) is hard to find. In this paper, particle swarm optimization (PSO) technique is adopted to determine the optimal input MF setting values. According to the simulated and experimental results, the obtained optimal input MF values can improve the averaged MPPT tracking accuracy by 1.31 A. Moreover, the averaged fitness value can significantly be improved by 25.6 %.
引用
收藏
页码：635 / 640
页数：6
相关论文
共 50 条
  • [21] Research on Particle Swarm Optimization Algorithm Based on Optimal Movement Probability
    Ma, Jianhong
    Zhang, Han
    He, Baofeng
    SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING, 2017, 10322
  • [22] Optimal Dispatch of Wind Farm Based on Particle Swarm Optimization Algorithm
    Zhu, Xiaorong
    Zhang, Wentong
    Wang, Yi
    Liang, Haifeng
    2012 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2012,
  • [23] MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization algorithm for battery charging through simulink
    Idriss Dagal
    Burak Akın
    Erdem Akboy
    Scientific Reports, 12
  • [24] Optimal management of MicroGrid based on a modified particle swarm optimization algorithm
    Dou, Chun-xia
    Jia, Xing-bei
    Bo, Zhi-qian
    Zhao, Fang
    Liu, Dong-le
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [25] An Adaptive Particle Swarm Optimization Algorithm Based on Optimal Parameter Regions
    Harrison, Kyle Robert
    Engelbrecht, Andries P.
    Ombuki-Berman, Beatrice M.
    2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017, : 1606 - 1613
  • [26] Optimal Reservoir Operation Based on Improved Particle Swarm Optimization Algorithm
    Tian, Jiao
    Xie, Jiancang
    Xing, Xiaohong
    ADVANCES IN HYDROLOGY AND HYDRAULIC ENGINEERING, PTS 1 AND 2, 2012, 212-213 : 502 - 508
  • [27] MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization algorithm for battery charging through simulink
    Dagal, Idriss
    Akin, Burak
    Akboy, Erdem
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [28] Hybrid Particle Swarm Optimization Algorithm Based on the Simplex Method
    Wang, Sheng
    Dai, Dawei
    Chen, Yen-Lun
    Ou, Yongsheng
    Xu, Yangsheng
    2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL I, 2010, : 84 - 89
  • [29] Ballistic method based on improved particle swarm optimization algorithm
    Cui, Jing
    Deng, Fang
    Fang, Hao
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2013, 43 (SUPPL.I): : 215 - 218
  • [30] An modified particle swarm optimization algorithm based on sharing method
    Bai Rui-lin
    Wang Li-feng
    PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2, 2005, : 795 - 798
12345