Advanced Maximum Power Point Tracking Technique for Photovoltaic Reverse Osmosis Systems

被引:0
|
作者
Mowafy, A. G. E. M. I. [1 ]
Steiks, I. [1 ]
机构
[1] Riga Tech Univ, Inst Ind Elect Elect Engn & Energy, Fac Comp Sci Informat Technol & Energy, 10 Zunda Embankment, LV-1048 Riga, Latvia
关键词
Batteryless system; control algorithm; desalination; MPPT; photovoltaics; DESALINATION PLANT; WATER;
D O I
10.2478/lpts-2024-0037
中图分类号
O59 [应用物理学];
学科分类号
摘要
The paper presents a novel control algorithm for a standalone Photovoltaic Reverse-Osmosis (PV-RO) system without a battery. It highlights the importance of tracking the maximum power tracking points in the photovoltaic panels. The development of new methods has become more urgent than before. The PV-RO system combines solar energy and reverse osmosis technology to provide reliable and sustainable access to clean drinking water in remote areas. Traditional PV-RO systems often require energy storage solutions such as batteries to maintain a constant water supply during periods of low solar irradiation. However, the integration of batteries adds complexity, cost, and environmental impact to the system. The paper presents the development of different MPPT techniques, which are better than traditional techniques (more accurate and faster). The paper also provides a comparison with the studied methods (P&O and Incremental Conductance) and the proposed one.
引用
收藏
页码:78 / 89
页数:12
相关论文
共 50 条
  • [41] Comparative Study of Maximum Power Point Tracking Techniques for Photovoltaic Systems
    Tofoli, Fernando Lessa
    Pereira, Denis de Castro
    de Paula, Wesley Josias
    INTERNATIONAL JOURNAL OF PHOTOENERGY, 2015, 2015
  • [42] A GSO -based maximum power point tracking algorithm for photovoltaic systems
    Kheldoun, A.
    Djeriou, S.
    2017 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING - BOUMERDES (ICEE-B), 2017,
  • [43] A maximum power point tracking for photovoltaic systems based on Monod equation
    Camilo, Jones C.
    Guedes, Tatiana
    Fernandes, Darlan A.
    Melo, J. D.
    Costa, F. F.
    Sguarezi Filho, Alfeu J.
    RENEWABLE ENERGY, 2019, 130 : 428 - 438
  • [44] Analysis and Simulation of Characteristics and Maximum Power Point Tracking for Photovoltaic Systems
    Yu, Ting-Chung
    Chien, Tang-Shiuan
    2009 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND DRIVE SYSTEMS, VOLS 1 AND 2, 2009, : 266 - +
  • [45] Comparative assessment of maximum power point tracking procedures for photovoltaic systems
    Husain, Mohammed Aslam
    Tariq, Abu
    Hameed, Salman
    Bin Arif, M. Saad
    Jain, Abhinandan
    GREEN ENERGY & ENVIRONMENT, 2017, 2 (01) : 5 - 17
  • [46] A review of maximum power-point tracking techniques for photovoltaic systems
    Anurag, Anup
    Bal, Satarupa
    Sourav, Suman
    Nanda, Mrutyunjaya
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2016, 35 (05) : 478 - 501
  • [47] Research on an improved maximum power point tracking algorithm for photovoltaic systems
    Sun, Zhang
    Wang, Jun
    Li, Quan
    Lin, Li
    Wang, Huiling
    ICIC Express Letters, 2013, 7 (3 B): : 1061 - 1066
  • [48] Maximum Power Point Tracking of Photovoltaic Systems using Backstepping Controller
    Rafika, El Idrissi
    Abbou, Ahmed
    Rhaili, Salahddine
    Salimi, Mahadi
    2017 INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY (ICET), 2017,
  • [49] Experimental assessment of Maximum Power Point Tracking methods for photovoltaic systems
    Boukenoui, R.
    Ghanes, M.
    Barbot, J. -P.
    Bradai, R.
    Mellit, A.
    Salhi, H.
    ENERGY, 2017, 132 : 324 - 340
  • [50] Maximum Power Point Tracking Quadratic Boost Converter for Photovoltaic Systems
    Altin, Necmi
    Ozturk, Ertan
    2016 8TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2016,