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An Open-Source Tool for Composite Power System Reliability Assessment in Julia™

Author

Listed:
  • Josif Figueroa

    (New York Independent System Operator (NYISO), Rensselaer, NY 12144, USA)

  • Kush Bubbar

    (System-Level Model Development Engineering Laboratory, University of New Brunswick, Fredericton, NB E3B 5A3, Canada)

  • Greg Young-Morris

    (Énergie NB Power, Fredericton, NB E3B 4X1, Canada)

Abstract

This paper introduces an open-source tool capable of performing the Composite System Reliability evaluation developed in the high-level, dynamic Julia™ programming language. Employing Monte Carlo Simulation and parallel computing, the tool evaluates probabilistic adequacy indices for combined generation and transmission systems, focusing on both individual delivery points and the broader system. Proficiency in Optimal Power Flow problem formulations is demonstrated through two distinct methods: DC and linearized AC, enabling comprehensive resource and transmission adequacy analysis with high-performance solvers. Addressing replicability and the insufficiency of available software, the tool supports diverse analyses on a unified platform. The paper discusses the tool’s design and validation, particularly focusing on the two optimal power flow problem formulations. These insights significantly contribute to understanding transmission system performance and have implications for power system planning.

Suggested Citation

  • Josif Figueroa & Kush Bubbar & Greg Young-Morris, 2024. "An Open-Source Tool for Composite Power System Reliability Assessment in Julia™," Energies, MDPI, vol. 17(20), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5023-:d:1495407
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    References listed on IDEAS

    as
    1. Carleton Coffrin & Pascal Van Hentenryck, 2014. "A Linear-Programming Approximation of AC Power Flows," INFORMS Journal on Computing, INFORMS, vol. 26(4), pages 718-734, November.
    2. Hamza Abunima & Jiashen Teh & Ching-Ming Lai & Hussein Jumma Jabir, 2018. "A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions," Energies, MDPI, vol. 11(9), pages 1-37, September.
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