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Operations research in optimal power flow: A guide to recent and emerging methodologies and applications

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  • Skolfield, J. Kyle
  • Escobedo, Adolfo R.

Abstract

The fields of power system engineering and operations research are growing rapidly and becoming increasingly entwined. This survey aims to strengthen the connections between the two communities by introducing specific power systems problems and the theoretical operations research approaches implemented to address them in recent years. It discusses a number of optimal power flow applications including expansion planning, regular operation, markets, network resiliency, and unit commitment.

Suggested Citation

  • Skolfield, J. Kyle & Escobedo, Adolfo R., 2022. "Operations research in optimal power flow: A guide to recent and emerging methodologies and applications," European Journal of Operational Research, Elsevier, vol. 300(2), pages 387-404.
    • Handle: RePEc:eee:ejores:v:300:y:2022:i:2:p:387-404
    DOI: 10.1016/j.ejor.2021.10.003
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    2. Tomas Balezentis & Kristiaan Kerstens & Zhiyang Shen, 2022. "Economic and Environmental Decomposition of Luenberger-Hicks-Moorsteen Total Factor Productivity Indicator: Empirical Analysis of Chinese Textile Firms With a Focus on Reporting Infeasibilities and Qu," Post-Print hal-03833245, HAL.
    3. Varawala, Lamia & Dán, György & Hesamzadeh, Mohammad Reza & Baldick, Ross, 2023. "A generalised approach for efficient computation of look ahead security constrained optimal power flow," European Journal of Operational Research, Elsevier, vol. 310(2), pages 477-494.
    4. Haltor Mataifa & Senthil Krishnamurthy & Carl Kriger, 2023. "Comparative Analysis of the Particle Swarm Optimization and Primal-Dual Interior-Point Algorithms for Transmission System Volt/VAR Optimization in Rectangular Voltage Coordinates," Mathematics, MDPI, vol. 11(19), pages 1-29, September.
    5. Mohamed A. M. Shaheen & Hany M. Hasanien & Said F. Mekhamer & Mohammed H. Qais & Saad Alghuwainem & Zia Ullah & Marcos Tostado-Véliz & Rania A. Turky & Francisco Jurado & Mohamed R. Elkadeem, 2022. "Probabilistic Optimal Power Flow Solution Using a Novel Hybrid Metaheuristic and Machine Learning Algorithm," Mathematics, MDPI, vol. 10(17), pages 1-23, August.
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