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Avant-Garde Solar Plants with Artificial Intelligence and Moonlighting Capabilities as Smart Inverters in a Smart Grid

Author

Listed:
  • Shriram S. Rangarajan

    (Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bengaluru 560078, Karnataka, India
    Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29631, USA)

  • Chandan Kumar Shiva

    (Department of Electrical and Electronics Engineering, SR University, Warangal 506371, Telangana, India)

  • AVV Sudhakar

    (Department of Electrical and Electronics Engineering, SR University, Warangal 506371, Telangana, India)

  • Umashankar Subramaniam

    (Renewable Energy Lab, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • E. Randolph Collins

    (Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29631, USA
    College of Engineering, Western Carolina University, Cullowhee, NC 28723, USA)

  • Tomonobu Senjyu

    (Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

Abstract

Intelligent inverters have the capability to interact with the grid and supply supplemental services. Solar inverters designed for the future will have the ability to self-govern, self-adapt, self-secure, and self-heal themselves. Based on the available capacity, the ancillary service rendered by a solar inverter is referred to as moonlighting. Inverters that communicate with the grid but are autonomous can switch between the grid forming mode and the grid following control mode as well. Self-adaptive grid-interactive inverters can keep their dynamics stable with the assistance of adaptive controllers. Inverters that interact with the grid are also capable of self-adaptation Grid-interactive inverters may be vulnerable to hacking in situations in which they are forced to rely on their own self-security to determine whether malicious setpoints have been entered. To restate, an inverter can be referred to as a “smart inverter” when it is self-tolerant, self-healing, and provides ancillary services. The use of artificial intelligence in solar plants in addition to moon-lighting capabilities further paves the way for its flexibility in an environment containing a smart grid. This perspective paper presents the present as well as a more futuristic outlook of solar plants that utilize artificial intelligence while moonlighting advanced capabilities as smart inverters to form the core of a smart grid. For the first time, this perspective paper presents all the novel ancillary applications of a smart inverter while employing Artificial intelligence on smart inverters. The paper’s emphasis on the Artificial Intelligence associated with PV inverters further makes them smarter in addition to ancillary services.

Suggested Citation

  • Shriram S. Rangarajan & Chandan Kumar Shiva & AVV Sudhakar & Umashankar Subramaniam & E. Randolph Collins & Tomonobu Senjyu, 2023. "Avant-Garde Solar Plants with Artificial Intelligence and Moonlighting Capabilities as Smart Inverters in a Smart Grid," Energies, MDPI, vol. 16(3), pages 1-30, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1112-:d:1041115
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    References listed on IDEAS

    as
    1. Rial A. Rajagukguk & Raden A. A. Ramadhan & Hyun-Jin Lee, 2020. "A Review on Deep Learning Models for Forecasting Time Series Data of Solar Irradiance and Photovoltaic Power," Energies, MDPI, vol. 13(24), pages 1-23, December.
    2. Babak Arbab-Zavar & Emilio J. Palacios-Garcia & Juan C. Vasquez & Josep M. Guerrero, 2019. "Smart Inverters for Microgrid Applications: A Review," Energies, MDPI, vol. 12(5), pages 1-22, March.
    3. Doukas, Haris & Patlitzianas, Konstantinos D. & Kagiannas, Argyris G. & Psarras, John, 2006. "Renewable energy sources and rationale use of energy development in the countries of GCC: Myth or reality?," Renewable Energy, Elsevier, vol. 31(6), pages 755-770.
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