PV and Wind Energy Conversion Exploration based on Grid Integrated Hybrid Generation Using the Cuttlefish Algorithm


  • Υ. Nagaraja Department of EEE, Annamacharya Institute of Technology and Sciences, India
  • T. Devaraju Department of EEE, Sree Vidyanikethan Engineering College (Autonomous), India
  • A. Muni Sankar Department of EEE, Sree Rama Engineering College, India
  • V. Narasimhulu Department of EEE, Rajeev Gandhi Memorial College of Engineering and Technology (Autonomous), India https://orcid.org/0000-0002-4395-7414
Volume: 12 | Issue: 6 | Pages: 9670-9675 | December 2022 | https://doi.org/10.48084/etasr.5364


This paper focuses on the exploration of grid-integrated hybrid generation comprising Photovoltaic (PV) and Wind Energy Conversion Systems (WECSs) using the Cuttlefish Algorithm (CFA). PV and wind energies are opposite because sunny days are normally calm, and strong winds frequently occur on cloudy days or at night. Hence, a hybrid PV and wind power system is more reliable than either individual source in terms of delivering uninterrupted power. The regulation of the DC voltage is the key issue in this configuration. The conventional PI controller is inaccurate in regulating the DC voltage. The PI controller gain tuning using optimization techniques provides good DC voltage regulation and less Total Harmonic Distortion (THD). Hence, CFA is proposed for the tuning of PI gains. The performance parameters such as DC voltage regulation and THD of CFA are analyzed.


photovoltaic, wind energy conversion system, PWM, PI, AWT, PR, PSO, CFA


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How to Cite

Nagaraja Υ., T. Devaraju, A. Muni Sankar, and V. Narasimhulu, “PV and Wind Energy Conversion Exploration based on Grid Integrated Hybrid Generation Using the Cuttlefish Algorithm”, Eng. Technol. Appl. Sci. Res., vol. 12, no. 6, pp. 9670–9675, Dec. 2022.


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