Jonathan Maack
National Renewable Energy Laboratory
6 Papers
2 Citations
Jonathan Maack is an academic researcher from National Renewable Energy Laboratory. The author has contributed to research in topics: Stochastic programming & Economic dispatch. The author has an hindex of 2, co-authored 6 publications.
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Papers
•Posted Content
Linear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers.
Kasia Swirydowicz,Eric Darve,Wesley Jones,Jonathan Maack,Shaked Regev,Michael A. Saunders,Stephen Thomas,Slaven Peles +7 more
TL;DR: In this article, the authors benchmark five well known direct linear solver packages using matrices extracted from power grid optimization problems and show that none of the tested packages delivers significant GPU acceleration for their test cases.
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Use of Traveling Wave Signatures in Medium-Voltage Distribution Systems for Fault Detection and Location
Scenario creation and power-conditioning strategies for operating power grids with two-stage stochastic economic dispatch
Matthew Reynolds,Ignas Satkauskas,Jonathan Maack,Devon Sigler,Wesley Jones +4 more
- 02 Aug 2020
TL;DR: In this article, the use of stochastic programming to solve the DC optimal power flow problem with scenarios drawn directly from high-fidelity data sets is introduced. But the authors do not address the problem of lost physics by finding analogs that can describe future states of the system.
Scalable Transmission Expansion Under Uncertainty Using Three-stage Stochastic Optimization
Devon Sigler,Jonathan Maack,Ignas Satkauskas,Matthew Reynolds,Wesley Jones +4 more
- 01 Feb 2020
TL;DR: This paper augments the grid with large amounts of wind generation and considers many operational scenarios subject to wind uncertainty, using three-stage stochastic programming and the progressive hedging algorithm to compute transmission expansion decisions on a modified RTS-GMLC test system.
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Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch
Kinshuk Panda,Ryan King,Jonathan Maack,Ignas Satkauskas,Kristi Potter +4 more
- 22 Jun 2021
TL;DR: A visualization tool is developed to demonstrate the utility of multi-fidelity approximations by displaying contextual results of economic dispatch approximation, comparisons across fidelity levels of generation levels and possible failures to meet demand, and meta-data on the modeling setup.
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