Integration of Wind and Solar Energy with Fuzzy Logic Control MPPT for Grid-Connected Hybrid Renewable Power Generation

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 03 | 02 | Page :
    By

    Abhimanyu Kumar,

  • Ambrish Pati Tripathi,

  • Brijesh Kumar Pandey,

  • Rohit Gedam,

  1. Assistant Professor, Department of Electrical &; Electronics Engineering, Vedica Institute of Technology, Bhopal, Madhya Pradesh, India
  2. Assistant Professor, Department of Electrical &; Electronics Engineering, Vedica Institute of Technology, Bhopal, Madhya Pradesh, India
  3. Assistant Professor, Department of Electrical &; Electronics Engineering, Vedica Institute of Technology, Bhopal, Madhya Pradesh, India
  4. Associate Professor, Department of Electrical &; Electronics Engineering, Vedica Institute of Technology, Bhopal, Madhya Pradesh, India

Abstract

The utilization of renewable energy sources, such as wind and solar energy, has gained significant attention due to their eco-friendly nature and sustainability. This research paper explores the mechanisms behind wind generation and its integration with solar power, focusing on the adoption of Fuzzy Logic Control (FLC) for Maximum Power Point Tracking (MPPT) in a grid-connected hybrid renewable energy system. The paper outlines the principles of wind and solar energy conversion, the working of wind turbines, and the role of FLC in improving MPPT efficiency. Furthermore, the study presents the objectives of developing and simulating a hybrid power system that connects to the grid through an inverter capable of stabilizing the DC bus voltage during variable energy conditions. The application of fuzzy controllers for improved power quality and performance is investigated. The simulation and result analysis highlight the advantages of FLC-based MPPT in enhancing the efficiency and power output of the integrated wind-solar system. This research aims to contribute to the advancement of knowledge in renewable energy utilization and the implementation of intelligent control techniques for efficient power generation.

Keywords: Wind Energy, Solar Energy, Maximum Power Point Tracking, Fuzzy Logic Control, Grid-Connected Hybrid Renewable System, Simulation, Power Quality.

How to cite this article:
Abhimanyu Kumar, Ambrish Pati Tripathi, Brijesh Kumar Pandey, Rohit Gedam. Integration of Wind and Solar Energy with Fuzzy Logic Control MPPT for Grid-Connected Hybrid Renewable Power Generation. International Journal of Electrical Power and Machine Systems. 2025; 03(02):-.
How to cite this URL:
Abhimanyu Kumar, Ambrish Pati Tripathi, Brijesh Kumar Pandey, Rohit Gedam. Integration of Wind and Solar Energy with Fuzzy Logic Control MPPT for Grid-Connected Hybrid Renewable Power Generation. International Journal of Electrical Power and Machine Systems. 2025; 03(02):-. Available from: https://journals.stmjournals.com/ijepms/article=2025/view=234677


References

  1.  Kumar V, Khare A, Pathak V. An extensive review on power transition enhancement for variable-speed, variable- pitch wind turbines using model predictive control techniques. 2016;18(1).
  2. Osman AM, Michael H, Negnevitsky M, Haque E, Gargoom A. A novel operation and control strategy for a standalone hybrid renewable power system. IEEE Trans Sustain Energy. 2013;4(2):402-13.
  3. Abdullah MA, Yatim AHM, Tan CW. A study of maximum power point tracking algorithms for wind energy system. In: Proc IEEE Conf Clean Energy Technol (CET). 2011. p. 321-6.
  4. Xia Y, Ahmed KH, Williams BW. A new maximum power point tracking technique for permanent magnet synchronous generator based wind energy conversion system. IEEE Trans Power Electron. 2011;26:3609-20.
  5. Amjed M, Krishnan UB. Maximum power point tracking of grid connected solar wind hybrid system. Int Res J Eng Technol. 2015;2(7).
  6. Lahari NV, Shetty HVK. Integration of grid connected PMG wind energy and solar energy systems using different control strategies. In: IEEE Conf. 2015.
  7. Kalla UK, Mantri M. An adaptive control of voltage source converter based scheme for grid connected solar PV-battery system. In: IEEE Conf. 2016.
  8. Kalla UK. A normalized neural network based controller for power quality improved grid connected solar PV systems. In: IEEE Conf. 2016.
  9. Patil AA, Chavan DS, Yadav SV. Output voltage control scheme for standalone wind energy system. In: IEEE Conf. 2016.
  10. Islam A, Azam A. Grid connected hybrid solar system with MPPT charge controller. In: IEEE Conf. 2016.
  11. Parida A, Chatterjee D. Model-based loss minimisation scheme for wind solar hybrid generation system using (grid-connected) doubly fed induction generator. IET Electr Power Appl. 2016.
Ahead of Print Subscription Original Research
Volume 03
02
Received 15/06/2025
Accepted 21/08/2025
Published 23/12/2025
Publication Time 191 Days
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