Study of a New Wave Energy Converter with Perturb and Observe Maximum Power Point Tracking Method

被引:6
|
作者
Ugaz Pena, Jose Carlos [1 ]
Medina Rodriguez, Christian Luis [1 ]
Guarniz Avalos, Gustavo O. O. [1 ]
机构
[1] Univ Tecnol Peru, Fac Engn, Lima 15046, Peru
关键词
wave energy converter; direct mechanical drive power take-off; gearbox; pulley system; maximum power point tracking;
D O I
10.3390/su151310447
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ocean waves contain the highest energy density among renewable energy sources. However, harnessing the energy from ocean waves represents a challenge because wave energy converters (WECs) must be designed to have great survivability and efficiency. The power production challenge of any WEC depends on the power take-off (PTO) system efficiency. Maximum power point tracking (MPPT) algorithms have been widely applied in renewable energy from photovoltaic and wind sources, and have subsequently been adapted to wave energy converters (WECs). Energy extraction is optimized by applying MPPT, resulting in an increase in efficiency. This study aims to address the analysis of the influence of the perturb and observe MPPT in the electrical power performance of a WEC composed of a point absorber, a hinged arm and a direct mechanical drive PTO system. The PTO is characterized by a pulley system, a counterweight, one-way bearings, a gearbox, a flywheel and an electric generator; in the present study it is considered to be a cylindrical point absorber. The linear theory and the viscous damping effect are applied to analyze the hydrodynamic behavior of the point absorber. Regarding the two generators considered in the present study, the contribution of MPPT is greater for the low power generator; the high values of the capture width ratio (CWR) occur at low values of period and wave height, showing the maximum value in the high-power generator.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Optimization of perturb and observe maximum power point tracking method
    Femia, N
    Petrone, G
    Spagnuolo, G
    Vitelli, M
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2005, 20 (04) : 963 - 973
  • [2] - Performances improvement of maximum power point tracking perturb and observe method
    Egiziano, L
    Femia, N
    Granozio, D
    Petrone, G
    Spagnuolo, G
    Vitelli, M
    PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGY IN THE ENVIRONMENTAL FIELD, 2006, : 152 - +
  • [3] A Hybrid Simulated Annealing and Perturb and Observe Maximum Power Point Tracking Method
    Lyden, Sarah
    Galligan, Harry
    Haque, Md Enamul
    IEEE SYSTEMS JOURNAL, 2021, 15 (03): : 4325 - 4333
  • [4] Implementation of Perturb and Observe Method of Maximum Power Point Tracking in SIMSCAPE/MATLAB
    Verma, Deepak
    Nema, Savita
    Nema, R. K.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), 2017, : 148 - 152
  • [5] Maximum Power Point Tracking Method using Perturb and Observe Algorithm for small scale DC voltage converter
    Gosumbonggot, Jirada
    2016 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS, IEECON2016, 2016, : 421 - 424
  • [6] An Improved Adaptive Perturb & Observe Maximum Power Point Tracking Technique
    Xiao, Shunlong
    Balog, Robert S.
    2018 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC), 2018,
  • [7] Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking
    Piegari, L.
    Rizzo, R.
    IET RENEWABLE POWER GENERATION, 2010, 4 (04) : 317 - 328
  • [8] Illustration of Maximum Power Point Tracking of Photovoltaic Array with Boost Converter Via Perturb and Observe Algorithm
    Divya, R.
    Nair, Ashitha R.
    Harisankar, S.
    Sai, Sree V. G.
    Nair, Manjula G.
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 992 - 996
  • [9] Hybrid Maximum Power Point Tracking Method Based on Iterative Learning Control and Perturb & Observe Method
    Zhang, Xibeng
    Gamage, Don
    Wang, Benfei
    Ukil, Abhisek
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (01) : 659 - 670
  • [10] Hybrid Maximum Power Point Tracking Method Based on Iterative Learning Control and Perturb & Observe Method
    Zhang, Xibeng
    Gamage, Don
    Wang, Benfei
    Ukil, Abhisek
    2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,