- Performances improvement of maximum power point tracking perturb and observe method

被引:0
|
作者
Egiziano, L [1 ]
Femia, N [1 ]
Granozio, D [1 ]
Petrone, G [1 ]
Spagnuolo, G [1 ]
Vitelli, M [1 ]
机构
[1] Univ Salerno, DIIIE, Via Ponte Don Melillo, Fisciano, SA, Italy
关键词
mppt; perturbe and observe;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper the perturb and observe best operation conditions are investigated in order to identify the edge efficiency performances of this most popular maximum power point tracking technique for photovoltaic applications. It is shown that perturb and observe may guarantee top-level efficiency, provided that a proper predictive and adaptive hill climbing strategy is adopted. The approach proposed in this paper is aimed at realizing' in addition to absolute best tracking performances, high robustness and promptness both in sunny and cloudy weather conditions. The power gain with respect to standard perturb and observe technique is proved by means of simulation results and experimental measurements performed on a low power system. Besides the performance improvements, it is shown that the proposed approach allows possible reduction of hardware costs of analog-to-digital converters used in the maximum power point tracking control circuitry.
引用
收藏
页码:152 / +
页数:3
相关论文
共 50 条
  • [41] Modulated Perturb and Observe Maximum Power Point Tracking Algorithm for Solar PV Energy Conversion System
    Satapathy, Susree Sukanya
    Kumar, Nishant
    2019 3RD INTERNATIONAL CONFERENCE ON RECENT DEVELOPMENTS IN CONTROL, AUTOMATION & POWER ENGINEERING (RDCAPE), 2019, : 345 - 350
  • [42] Design of a Analog Maximum Power Point Tracking Control IC Based on Perturb-and-Observe Algorithm
    Zhang Danyan
    Hang Guoqiang
    Hu Xiaohui
    Yang Yang
    2012 IEEE INTERNATIONAL CONFERENCE ON ELECTRON DEVICES AND SOLID STATE CIRCUIT (EDSSC), 2012,
  • [43] Perturb and observe digital Maximum Power Point Tracker for satellite applications
    Brambilla, A
    Gambarara, M
    Torrente, G
    PROCEEDINGS OF THE SIXTH EUROPEAN SPACE POWER CONFERENCE (ESPC), 2002, 502 : 263 - 268
  • [44] A simple checking algorithm with perturb and observe maximum power point tracking for partially shaded photovoltaic system
    Alik R.
    Jusoh A.
    Sutikno T.
    Telkomnika (Telecommunication Computing Electronics and Control), 2016, 14 (01) : 14 - 20
  • [45] Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm
    Lopez, Victor Arturo Martinez
    Zindziute, Ugne
    Ziar, Hesan
    Zeman, Miro
    Isabella, Olindo
    ENERGIES, 2022, 15 (20)
  • [46] Maximum power point tracking method using a modified perturb and observe algorithm for grid connected wind energy conversion systems
    Linus, Rajin M.
    Damodharan, Perumal
    IET RENEWABLE POWER GENERATION, 2015, 9 (06) : 682 - 689
  • [47] AN INNOVATIVE ADAPTIVE PERTURB AND OBSERVE MAXIMUM POWER POINT TRACKING METHOD FOR PHOTOVOLTAIC SYSTEMS USING ILLUMINANCE LEVEL AS PERTURBATION SIGNAL
    Sarikaya, Sinan
    Yavuz, Cenk
    Tirmikci, Ceyda Aksoy
    Cecen, Mehmet
    Gumus, Talha Enes
    Yavuz, Burcu Carkli
    Afacan, Izzet Emre
    Yalcin, Mehmet Ali
    LIGHT & ENGINEERING, 2022, 30 (04): : 78 - 86
  • [48] A Modified Perturb and Observe Sliding Mode Maximum Power Point Tracking Method for Photovoltaic System uUnder Partially Shaded Conditions
    Hahm, Jehun
    Kim, Euntai
    Lee, Heejin
    Yoon, Changyong
    INTERNATIONAL JOURNAL OF FUZZY LOGIC AND INTELLIGENT SYSTEMS, 2016, 16 (04) : 281 - 292
  • [49] A Hybrid Simulated Annealing and Perturb and Observe Method for Maximum Power Point Tracking in PV Systems under Partial Shading Conditions
    Lyden, S.
    Haque, M. E.
    2015 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2015,
  • [50] Adaptive perturb and observe maximum power point tracking with current predictive and decoupled power control for gridconnected photovoltaic inverters
    Yong YANG
    Huiqing WEN
    JournalofModernPowerSystemsandCleanEnergy, 2019, 7 (02) : 422 - 432