• DocumentCode
    3586681
  • Title

    Energy efficiency analysis of various topologies, control techniques and technologies used for photovoltaic panels Part II: Maximum power point tracking algorithms

  • Author

    Cristian, Hoarca Ioan ; Raducu, Marian ; Constantinescu, Luminita-Mirela

  • Author_Institution
    Nat. R&D Inst. for Cryogenics & Isotopic Technol. ICIT, Ramnicu Valcea, Romania
  • fYear
    2014
  • Firstpage
    29
  • Lastpage
    32
  • Abstract
    The second part of the paper presents the MPPT systems for extracting maximum power from a photovoltaic installation. The maximum transfer between generator and receiver is obtained by interconnecting a DC-DC converter which performs continuous adaptation of load to a PV generator. This principle represents the basis of the MPPT systems. The PV cell power output mainly depends on two variables: insolation level (G) and ambient temperature (T). Thus the maximum power point (MPP) depends on these variables for a panel orientation set. After reaching the maximum power the transfer between the PV generator and receiver is done with MPP tracking (MPPT) control schemes. This part of the paper presents a review of the main MPPT control schemes at level of operating and performances comparison.
  • Keywords
    energy conservation; maximum power point trackers; photovoltaic power systems; power generation control; DC-DC converter; MPP tracking; MPPT control; MPPT systems; PV generator; ambient temperature; control techniques; energy efficiency analysis; insolation level; maximum power point tracking algorithms; photovoltaic installation; photovoltaic panels; topologies; Algorithm design and analysis; Artificial neural networks; Generators; Maximum power point trackers; Photovoltaic systems; Short-circuit currents; Fuzzy logic controller method (FLC); Incremental conductance method (IC); Maximum power point tracking (MPPT); Open circuit voltage method (OCV); PV panel; Perturb and Observe method(P&O); Short-circuit current method (SCC); The method of artificial neural networks (ANN);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
  • Print_ISBN
    978-1-4799-5478-0
  • Type

    conf

  • DOI
    10.1109/ECAI.2014.7090219
  • Filename
    7090219