iEnergy 2022, 1(3): 315-324 https://doi.org/10.23919/IEN.2022.0037

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Open Access | Issue | Published: 20 September 2022

Computing for power system operation and planning: Then, now, and the future

Show Author's Information Hide Author's Information Yousu Chen^¹(

), Zhenyu Huang^¹, Shuangshuang Jin^², Ang Li^³

1Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA

2College of Engineering, Computing, and Applied Sciences, Clemson University, North Charleston, SC, USA

3Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA

Keywords:

machine learning, optimization, high performance computing, dynamic simulation, quantum computing, state estimation, Power system computing, contingency analysis, exascale computing

Cite this article:

Chen Y, Huang Z, Jin S, et al. Computing for power system operation and planning: Then, now, and the future. iEnergy, 2022, 1(3): 315-324. https://doi.org/10.23919/IEN.2022.0037

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Abstract

With the global trend of pursuing clean energy and decarbonization, power systems have been evolving in a fast pace that we have never seen in the history of electrification. This evolution makes the power system more dynamic and more distributed, with higher uncertainty. These new power system behaviors bring significant challenges in power system modeling and simulation as more data need to be analyzed for larger systems and more complex models to be solved in a shorter time period. The conventional computing approaches will not be sufficient for future power systems. This paper provides a historical review of computing for power system operation and planning, discusses technology advancements in high performance computing (HPC), and describes the drivers for employing HPC techniques. Some high performance computing application examples with different HPC techniques, including the latest quantum computing, are also presented to show how HPC techniques can help us be well prepared to meet the requirements of power system computing in a clean energy future.

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About this article

Computing for power system operation and planning: Then, now, and the future

Show Author's information Hide Author's Information Yousu Chen^¹(

), Zhenyu Huang^¹, Shuangshuang Jin^², Ang Li^³

1Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA

2College of Engineering, Computing, and Applied Sciences, Clemson University, North Charleston, SC, USA

3Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA

Abstract

Keywords: machine learning, optimization, high performance computing, dynamic simulation, quantum computing, state estimation, Power system computing, contingency analysis, exascale computing

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Received: 09 July 2022

Revised: 18 August 2022

Accepted: 08 September 2022

Published: 20 September 2022

Issue date: September 2022

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Copyright: by the author(s). The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).