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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

Operation of power networks requires examining all aspects of the concepts. In recent years, due to the expansion of the power grid and the development of new technologies, some new challenges have appeared, which required study and respect. With the development of technology and a comprehensive change of power systems, problem solutions also changed and led to challenges. These challenges can be explored in two ways. First, it is necessary to examine the new topology created in the configuration and network components. Second, find the interaction between components and problems due to the structural complexity. In future networks, intelligent structures will be activated, and all activities will be performed by these intelligent systems. Even energy exchange contracts will be changed, and smart contracts will be applicable. Also, the volume of data exchanges increase that results in a huge change in communication structures. Big data and neural networks, including machine learning, will be widely used, and control and monitoring systems need to be accurate online and in real time. Therefore, it is necessary to properly examine the new challenges of power networks and analyze the issues accordingly.

This chapter explains the current and future of power system’s main challenges and problems with reference to the latest research results and experiential reviews. The challenges that envisaged for future power systems identity and how to deal with them will be reviewed and classified.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

    Ali Sharifzadeh, Mohammad Taghi Ameli & Sasan Azad

Authors
  1. Ali Sharifzadeh
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  2. Mohammad Taghi Ameli
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  3. Sasan Azad
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Corresponding author

Correspondence to Mohammad Taghi Ameli .

Editor information

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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Sharifzadeh, A., Ameli, M.T., Azad, S. (2021). 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_1

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  • DOI: https://doi.org/10.1007/978-3-030-77696-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77695-4

  • Online ISBN: 978-3-030-77696-1

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