Neuro-Fuzzy Control Algorithm for Harmonic Compensation of Quality Improvement for Grid Interconnected Photovoltaic System

  • B. PragathiEmail author
  • Deepak Kumar Nayak
  • Ramesh Chandra Poonia
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1045)


Current quality compensation is the major task in solar photovoltaic system. Several control algorithms have been discussed in the literature survey for reducing the power quality compensation. In the proposed system, neuro-fuzzy algorithm is implemented for reactive power compensation. The incremental conductances technique is used for extracting maximum power from the PV system by adjusting the duty cycle of the IGBT. The DC-DC boost converter is used for increasing the extracted power from PV system. The DC bus capacitor is used for maintaining constant PV voltage in the system. The voltage source converter is used for DC to AC conversion. The IGBT section of the VSC is controlled by the neuro-fuzzy controller. The neural network control algorithm is used for extracting reference currents for ZVR operation.


PV panels Artificial neural-fuzzy control algorithm Incremental conductance MPPT 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • B. Pragathi
    • 1
    Email author
  • Deepak Kumar Nayak
    • 1
  • Ramesh Chandra Poonia
    • 2
  1. 1.Department of ECEKoneru Lakshmaiah Education FoundationGunturIndia
  2. 2.Amity Institute of Information Technology Amity University RajasthanJaipurIndia

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