An open-source framework for balancing computational speed and fidelity in production cost models

Akdemir, Kerem Ziya; Oikonomou, Konstantinos; Kern, Jordan D.; Voisin, Nathalie; Ssembatya, Henry; Qian, Jingwei

doi:10.1088/2753-3751/ad1751

An open-source framework for balancing computational speed and fidelity in production cost models

Journal Article · Wed Jan 03 23:00:00 EST 2024 · Environmental Research: Energy

DOI:https://doi.org/10.1088/2753-3751/ad1751· OSTI ID:2335442

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North Carolina State University, Raleigh, NC (United States)
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Univ. of Washington, Seattle, WA (United States)

Studies of bulk power system operations need to incorporate uncertainty and sensitivity analyses, especially around exposure to weather and climate variability and extremes, but this remains a computational modeling challenge. Commercial production cost models (PCMs) have shorter runtimes, but also important limitations (opacity, license restrictions) that do not fully support stochastic simulation. Open-source PCMs represent a potential solution. They allow for multiple, simultaneous runs in high-performance computing environments and offer flexibility in model parameterization. Yet, developers must balance computational speed (i.e. runtime) with model fidelity (i.e. accuracy). In this paper, we present Grid Operations (GO), a framework for instantiating open-source, scale-adaptive PCMs. GO allows users to search across parameter spaces to identify model versions that appropriately balance computational speed and fidelity based on experimental needs and resource limits. Results provide generalizable insights on how to navigate the fidelity and computational speed tradeoff through parameter selection. We show that models with coarser network topologies can accurately mimic market operations, sometimes better than higher-resolution models. It is thus possible to conduct large simulation experiments that characterize operational risks related to climate and weather extremes while maintaining sufficient model accuracy.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth And Environmental Systems Science (EESS)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2335442

Alternate ID(s):: OSTI ID: 2428896

Journal Information:: Environmental Research: Energy, Journal Name: Environmental Research: Energy Journal Issue: 1 Vol. 1; ISSN 2753-3751

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

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fidelity/computational speed tradeoff
hydrometeorological extremes
model selection
multisector dynamics
open-source software
production cost model

An open-source framework for balancing computational speed and fidelity in production cost models

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