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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    ANFIS BASED MPPT AND CASCADED H-BRIDGE, 31-LEVEL MLI WITH HIGH GAIN LANDSMAN CONVERTER IN SINGLE-PHASE SPV POWER WITH GRID CONNECTIVITY FOR IMPROVING POWER QUALITY.
    Naresh Kumar, Anwar Shahzad Siddiqui, Rajveer Singh
    Journal of Data Acquisition and Processing, 2023, 38 (2): 3838-3857 . 

    Abstract

    The use of solar PV systems as a cost-effective and popular renewable energy generation system has gained widespread attention in recent years. To maximize a PV module's power output, various control techniques are utilized. For arbitrary electric loads, it has been proven that the ANFIS-based MPPT approach offers better results. The Landsman converter is a critical component in this paper that optimizes dc voltage of small level from PV panel and produces a constant dc link voltage for grid through the inverter. A 1-phase thirty-one level cascaded asymmetrical MLI is utilized in this paper, producing wave forms of staircase-like structure and many output levels while using fewer system components to achieve minimal THD values. An ANN algorithm is utilized to update the PI parameters to achieve excellent results under varying operating points. The proposed controller improves power quality by providing grid synchronization and excellent reference tracking. MATLAB/Simulink software is used to model the entire process, which helps to validate the proposed system's control performance. Overall, the use of anfis-based mppt technique &landsman converter, along with a single-phase 31-level asymmetrical cascaded MLI and ANN-based PI controller, is an efficient and effective method of generating renewable energy with high power quality and low THD values.

    Keyword

    PV module, ANFIS based MPPT, ANN and PI Controller


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