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Artificial Intelligence Application to Flexibility Provision in Energy Management System: A Survey

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Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

Due to the complicated load and supply balance dynamics, the massive amounts of renewable energy being introduced into the energy mix pose significant challenges for utilities and their customers. The renewable energy generators’ outputs are intermittent and thus create an imbalance between the instantaneous load demand and available supply at different instances of time. Besides, the inertia in power systems is becoming lesser due to the displacement of the rotating mass of conventional generators with inverter-based generators. Thus, the challenge of meeting the flexibility needs of modern power systems is becoming significantly high in recent times. Because of this, the traditional methods of meeting the flexibility needs of power systems are becoming insufficient; this calls for developing new intelligent approaches that can handle complex situations. Different concepts of artificial intelligence (AI) are deployed as a solution provider to numerous complex power systems operational problems, especially in resource forecasting, electricity market dynamics prediction, intelligent decision-making for generator scheduling, and more. Hence, this book chapter reviews existing flexibility management techniques and some crucial areas of AI deployment in energy management systems toward meeting the flexibility needs of modern energy supply systems.

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Cape Town, Rondebosch, South Africa

    Oludamilare Bode Adewuyi, Komla A. Folly & David T. O. Oyedokun

  2. Department of Electrical & Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa

    Yanxia Sun

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  1. Oludamilare Bode Adewuyi
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Correspondence to Oludamilare Bode Adewuyi .

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    Mukhdeep Singh Manshahia

  2. Federal Scientific Agroengineering Center VIM, Moscow, Russia

    Valeriy Kharchenko

  3. Institute of Applied Mathematics, Middle East Technical University, Ankara, Türkiye

    Gerhard-Wilhelm Weber

  4. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Pandian Vasant

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Adewuyi, O.B., Folly, K.A., Oyedokun, D.T.O., Sun, Y. (2023). Artificial Intelligence Application to Flexibility Provision in Energy Management System: A Survey. In: Manshahia, M.S., Kharchenko, V., Weber, GW., Vasant, P. (eds) Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-26496-2_4

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