A maximum power point tracking method based on particle swarm optimization for photovoltaic module arrays with shadows

被引:0
|
作者
机构
[1] Chao, Kuei-Hsiang
[2] Chen, Jyun-Ping
来源
| 1600年 / ICIC Express Letters Office, Tokai University, Kumamoto Campus, 9-1-1, Toroku, Kumamoto, 862-8652, Japan卷 / 08期
关键词
Characteristic curve - Global maximum - Maximum power - Maximum power point - Maximum power point tracker - Maximum Power Point Tracking - Partial shadow - Photovoltaic modules;
D O I
暂无
中图分类号
学科分类号
摘要
A maximum power point tracker (MPPT) based on particle swarm optimization (PSO) was proposed, which allowed the photovoltaic (PV) module array to output maximum power even when certain modules were in shadow. The proposed maximum power point tracking method possesses automatic memory and can judge or identify tracked targets. This method can avoid the confinement of tracking to local maximum values and can accurately and rapidly track the global maximum power point of a photovoltaic module array. Simulation results verified that the proposed method could effectively track the real maximum power point when two or more peak values occurred in the P-V characteristic curve of a photovoltaic module array. © 2014 ICIC International.
引用
收藏
相关论文
共 50 条
  • [41] Application of Particle Swarm Optimization for Maximum Power Point Tracking in PV System
    Balamurugan, M.
    Narendiran, S.
    Sahoo, Sarat Kumar
    Das, Raja
    Sahoo, Ashwin Kumar
    2016 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES), 2016, : 35 - 38
  • [42] A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm
    Ishaque, Kashif
    Salam, Zainal
    Shamsudin, Amir
    Amjad, Muhammad
    APPLIED ENERGY, 2012, 99 : 414 - 422
  • [43] A Hybrid Particle Swarm Optimization with Butterfly Optimization Algorithm Based Maximum Power Point Tracking for Photovoltaic Array under Partial Shading Conditions
    Wang, Yonggang
    Dai, Shengnan
    Liu, Pinchi
    Zhao, Xinyu
    SUSTAINABILITY, 2023, 15 (16)
  • [44] A novel maximum power point tracker controlling several converters connected to photovoltaic Arrays with particle swarm optimization technique
    Miyatake, Masafumi
    Toriumi, Fuhito
    Endo, Tsugio
    Fujii, Nobuhiko
    2007 EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS, VOLS 1-10, 2007, : 2440 - 2449
  • [45] Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Artificial Bee Colony Algorithm
    Chao, Kuei-Hsiang
    Li, Jia-Yan
    ELECTRONICS, 2022, 11 (10)
  • [46] A Module Voltage Based Maximum Power Point Tracking Algorithm for Photovoltaic Arrays under Partial Shading Conditions
    Ahmad, Jawad
    Spertino, F.
    Di Leo, P.
    Ciocia, A.
    2016 57TH INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2016,
  • [47] Application of Particle Swarm Optimization for Maximum Power Point Tracking of PV System with Direct Control Method
    Ishaque, Kashif
    Salam, Zainal
    Shamsudin, Amir
    IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2011, : 1214 - 1219
  • [48] Implementation of Particle Swarm Optimization Based Maximum Power Point Tracking of Solar Photovoltaic Array Under Non Uniform Insolation Conditions
    Ramaprabha, R.
    Balamurugan, N.
    Mathur, B. L.
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2011, 6 (03): : 1503 - 1510
  • [49] A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition
    Guo, Lei
    Meng, Zhuo
    Sun, Yize
    Wang, Libiao
    ENERGY, 2018, 144 : 501 - 514
  • [50] Maximum power point tracking control of photovoltaic systems using a hybrid improved whale particle swarm optimization algorithm
    Zhang, Lianghao
    Wang, Shuang
    Ni, Zihao
    Li, Fashe
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2025, 47 (01) : 1789 - 1803