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

Josif Figueroa (), Kush Bubbar and Greg Young-Morris
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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

Energies, 2024, vol. 17, issue 20, 1-15

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.

Keywords: composite system adequacy; monte carlo methods; open-source software; power system reliability; optimization methods; julia programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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