This work is devoted to solve reactive power and poor power factor problems that occur during the integration of renewable energy sources into the grid. For that, a Distributed Static Synchronous Compensator (D-STATCOM) is proposed. A comparative study of the compensator performance is done with a linear PI-feedforward control technique and a decoupled adaptive fuzzy logic control (AFLC) method. The last one outperforms and it reduces the number of control loop, eliminates the interaction of LCL filter parameters. The AFLC damps the resonance phenomena and reduces the effect of harmonics on the power system around the resonance frequency. In addition, the AFLC had carried robustness even in the presence of structured and unstructured uncertainties. The investigation shows that the performance of the compensator is improved at the presence of the AFLC where the measured values track references perfectly without any overshoot.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Power factor improvement using adaptive fuzzy logic control based D-STATCOM


    Beteiligte:
    Hamoud, Faris (Autor:in) / Doumbia, Mamadou Lamine (Autor:in) / Cheriti, Ahmed (Autor:in) / Teiar, Hakim (Autor:in)


    Erscheinungsdatum :

    01.04.2017


    Format / Umfang :

    6059130 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    SEIG voltage regulation with STATCOM Regulator using Fuzzy logic controller

    Dyanamina, Giribabu / Kakodia, Sanjay Kumar | IEEE | 2021


    Adaptive Cruise Control Using Fuzzy Logic

    Lloyd, Nathan / Khuman, Arjab Singh | Springer Verlag | 2021


    Deployment of STATCOM with Fuzzy Logic Control for Improving the Performance of Power System under Different Faults Conditions

    Fawzy, Ibram Y. / Mossa, Mahmoud A. / Elsawy, Ahmed M. et al. | BASE | 2024

    Freier Zugriff


    Self-adaptive robot control using fuzzy logic

    Rojas, I. / Pomares, H. / Gonzalez, J. et al. | Tema Archiv | 2006