Impact of Artificial Intelligence on the Planning and Operation of Distributed Energy Systems in Smart Grids

Paul Arévalo () and Francisco Jurado
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Paul Arévalo: Department of Electrical Engineering, Electronics and Telecommunications (DEET), Faculty of Engineering, University of Cuenca, Balzay Campus, Cuenca 010107, Azuay, Ecuador
Francisco Jurado: Department of Electrical Engineering, EPS Linares, University of Jaen, 23700 Jaen, Spain

Energies, 2024, vol. 17, issue 17, 1-22

Abstract: This review paper thoroughly explores the impact of artificial intelligence on the planning and operation of distributed energy systems in smart grids. With the rapid advancement of artificial intelligence techniques such as machine learning, optimization, and cognitive computing, new opportunities are emerging to enhance the efficiency and reliability of electrical grids. From demand and generation prediction to energy flow optimization and load management, artificial intelligence is playing a pivotal role in the transformation of energy infrastructure. This paper delves deeply into the latest advancements in specific artificial intelligence applications within the context of distributed energy systems, including the coordination of distributed energy resources, the integration of intermittent renewable energies, and the enhancement of demand response. Furthermore, it discusses the technical, economic, and regulatory challenges associated with the implementation of artificial intelligence-based solutions, as well as the ethical considerations related to automation and autonomous decision-making in the energy sector. This comprehensive analysis provides a detailed insight into how artificial intelligence is reshaping the planning and operation of smart grids and highlights future research and development areas that are crucial for achieving a more efficient, sustainable, and resilient electrical system.

Keywords: artificial intelligence in smart grids; distributed energy systems optimization; renewable energy integration; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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