Energy Storage System (ESS) To Integrate Intermittent Renewable Energy Sources

Authors

  • Dr. N. Malathy Department of Electronics and Communication Engineering, J.N.N Institute of Engineering Chennai, Tamil Nadu, India Author
  • Raja Yashwanth Sai Department of Computer Science and Engineering, JNN Institute of Engineering Kannigaipair, Chennai, Tamil Nadu, India Author
  • K.Vagdevi Department of Electronics and Communication Engineering, J.N.N Institute of Engineering Chennai, Tamil Nadu, India Author
  • Dr.J.N.Swaminathan Department of Artificial Intelligence and Data Science, JNN Institute of Engineering Kannigaipair, Chennai, Tamil Nadu, India Author
  • Poojitha Mallireddy Department of Artificial Intelligence and Data Science, JNN Institute of Engineering Kannigaipair, Chennai, Tamil Nadu, India Author
  • Aasiya.P Department of Artificial Intelligence and Data Science, JNN Institute of Engineering Kannigaipair, Chennai, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/CSEIT25112819

Keywords:

Renewable Energy, Solar Power Generation, Power Regulation Fluctuation Control, Uninterrupted Power Supply, AI in Power Systems, Switching Regulator Circuit, Python for Energy Management, Power Generation Forecasting Smart Grid Energy

Abstract

Renewable energy sources generate power in a variable manner, and there may be unacceptably large fluctuations. Therefore, renewable energy is currently stored in batteries or super capacitors for later use, but this requires expensive maintenance. Therefore, the primary goal of the proposed system is to control renewable energy during fluctuations to provide a continuous power supply. To achieve this, we continuously monitor the solar panel's power generation and load usage, and we send these data to a machine learning model to categorize the switching status of the regulator circuit. All of these artificial intelligence processes are carried out on the Python platform.

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Published

09-04-2025

Issue

Section

Research Articles