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Introduction and Literature Review of Power System Challenges and Issues

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Application of Machine Learning and Deep Learning Methods to Power System Problems

Part of the book series: Power Systems ((POWSYS))

Abstract

Over many decades, the electric power industry has evolved from a single low-power generator serving a small area to highly interconnected networks serving a large number of countries, or even continents. Nowadays, an electric power system is one of the largest man-made systems ever created, consisting of an enormous number of components ranging from small electric appliances to very large turbo-generators. Running such a large system is a significant challenge. It has necessitated the resolution of numerous issues by educational and industrial institutions. The main issues of the power system can be categorized into planning, operation, and control issues which are analyzed in this chapter, separately. Machine learning, deep learning, and a variety of regression, classification, and clustering algorithms are all extremely effective tools for addressing these issues. These procedures can be used to resolve a variety of power system issues and concerns, including planning, operation, fault detection and protection, power system analysis and control, and cyber security.

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Authors and Affiliations

  1. Electrical Engineering Department, Sharif University of Technology, Tehran, Iran

    Ali Ardeshiri, Amir Lotfi & Ashkan Barzkar

  2. Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

    Reza Behkam

  3. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Arash Moradzadeh

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  1. Ali Ardeshiri
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  2. Amir Lotfi
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Correspondence to Ali Ardeshiri .

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Editors and Affiliations

  1. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Morteza Nazari-Heris

  2. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Somayeh Asadi

  3. Department of Energy Technology Aalborg University, Aalborg, Denmark

    Behnam Mohammadi-Ivatloo

  4. Deakin University, Geelong, VIC, Australia

    Moloud Abdar

  5. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Houtan Jebelli

  6. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Milad Sadat-Mohammadi

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Ardeshiri, A., Lotfi, A., Behkam, R., Moradzadeh, A., Barzkar, A. (2021). Introduction and Literature Review of Power System Challenges and Issues. In: Nazari-Heris, M., Asadi, S., Mohammadi-Ivatloo, B., Abdar, M., Jebelli, H., Sadat-Mohammadi, M. (eds) Application of Machine Learning and Deep Learning Methods to Power System Problems. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-77696-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-77696-1_2

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