Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch

Panda, Kinshuk; King, Ryan; Maack, Jonathan; Satkauskas, Ignas; Potter, Kristi

doi:10.1145/3447555.3466598

Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch

Conference · Tue Jun 22 04:00:00 EDT 2021

DOI:https://doi.org/10.1145/3447555.3466598· OSTI ID:1810731

Panda, Kinshuk; King, Ryan; Maack, Jonathan; Satkauskas, Ignas; Potter, Kristi

As renewable energy generation deployment increases, the operation of electrical grids becomes more complex. Economic dispatch is part of a grid operator's regular decision process where the amount of energy to generate is determined based on the number of available generators and the actual level of energy demand. Renewable generators are inherently stochastic due to the chaotic nature of weather patterns, and thus, real-time decisions of economic dispatch become increasingly complex. Modeling efforts to assist in these decisions in the highest fidelity typically take hours to days to solve on leadership-class computers; too long for the 5-minute operational time-frame demanded of operators. Alternatively, multi-fidelity approximations can be used to predict generation levels quickly and with sufficient accuracy to be used for real-time operations. We have developed a visualization tool to demonstrate the utility of multi-fidelity approximations by displaying contextual results of economic dispatch approximations, comparisons across fidelity levels of generation levels and possible failures to meet demand, and meta-data on the modeling setup.

🛈

OSTI does not have a digital full text copy available. For more information, please see document availability, search WorldCat, or search Google Scholar.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 1810731

Report Number(s):: NREL/CP-2C00-79785; MainId:37005; UUID:0b5ba0e4-1810-4dd2-9a15-807c919e7fc2; MainAdminID:36041

Country of Publication:: United States

Language:: English

References (16)

Contingency visualization for real-time decision support in grid operation Huang, Zhenyu; Chen, Yousu; Greitzer, Frank L. 2011 IEEE Power & Energy Society General Meeting, 2011 IEEE Power and Energy Society General Meeting https://doi.org/10.1109/PES.2011.6039887	conference	July 2011
Stochastic Optimization for Unit Commitment—A Review Zheng, Qipeng P.; Wang, Jianhui; Liu, Andrew L. IEEE Transactions on Power Systems, Vol. 30, Issue 4 https://doi.org/10.1109/TPWRS.2014.2355204	journal	July 2015
Voltage contours for power system visualization Weber, J. D.; Overbye, T. J. IEEE Transactions on Power Systems, Vol. 15, Issue 1 https://doi.org/10.1109/59.852151	journal	January 2000
Three-dimensional visualization and animation for power systems analysis Milano, Federico Electric Power Systems Research, Vol. 79, Issue 12 https://doi.org/10.1016/j.epsr.2009.06.009	journal	December 2009
Smart grid management & visualization: Smart Power Management System Tang, G. Q. Expo on Emerging Technologies for a Smarter World (CEWIT 2011), 2011 8th International Conference & Expo on Emerging Technologies for a Smarter World https://doi.org/10.1109/CEWIT.2011.6135870	conference	November 2011
Knowledge discovery for smart grid operation, control, and situation awareness — a big data visualization platform Gu, Yi; Jiang, Huaiguang; Zhang, Yingchen 2016 North American Power Symposium (NAPS) https://doi.org/10.1109/NAPS.2016.7747892	conference	September 2016
Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization Peherstorfer, Benjamin; Willcox, Karen; Gunzburger, Max SIAM Review, Vol. 60, Issue 3 https://doi.org/10.1137/16M1082469	journal	January 2018
Scenario creation and power-conditioning strategies for operating power grids with two-stage stochastic economic dispatch Reynolds, Matthew; Satkauskas, Ignas; Maack, Jonathan 2020 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM41954.2020.9281609	conference	August 2020
Lessons Learned from Designing Visualization Dashboards Froese, Maria-Elena; Tory, Melanie IEEE Computer Graphics and Applications, Vol. 36, Issue 2 https://doi.org/10.1109/MCG.2016.33	journal	March 2016
Multifidelity approaches for optimization under uncertainty: MULTIFIDELITY APPROACHES FOR OPTIMIZATION UNDER UNCERTAINTY Ng, Leo W. T.; Willcox, Karen E. International Journal for Numerical Methods in Engineering, Vol. 100, Issue 10 https://doi.org/10.1002/nme.4761	journal	September 2014
State of the Art: Coordinated & Multiple Views in Exploratory Visualization Roberts, Jonathan C. Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2007) https://doi.org/10.1109/CMV.2007.20	conference	July 2007
The IEEE Reliability Test System: A Proposed 2019 Update Barrows, Clayton; Preston, Eugene; Staid, Andrea IEEE Transactions on Power Systems, Vol. 35, Issue 1 https://doi.org/10.1109/TPWRS.2019.2925557	journal	January 2020
New methods for the visualization of electric power system information Overbye, T. J.; Weber, J. D. IEEE Visualization 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings https://doi.org/10.1109/INFVIS.2000.885101	conference	January 2000
What Do We Talk About When We Talk About Dashboards? Sarikaya, Alper; Correll, Michael; Bartram, Lyn IEEE Transactions on Visualization and Computer Graphics, Vol. 25, Issue 1 https://doi.org/10.1109/TVCG.2018.2864903	journal	January 2019
Visualization of power system data Overbye, T. J.; Weber, J. D. HICSS33: Hawaii International Conference on System Sciences, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences https://doi.org/10.1109/HICSS.2000.926744	conference	January 2000
D³ Data-Driven Documents Bostock, M.; Ogievetsky, V.; Heer, J. IEEE Transactions on Visualization and Computer Graphics, Vol. 17, Issue 12 https://doi.org/10.1109/TVCG.2011.185	journal	December 2011

Similar Records

Multi-Fidelity Stochastic Economic Dispatch for Operating Low Carbon Power Grids

Technical Report · Thu Jun 30 20:00:00 EDT 2022 · OSTI ID:1879646

Flexibility Reserve in Power Systems: Definition and Stochastic Multi-Fidelity Optimization

Journal Article · Mon Jul 08 20:00:00 EDT 2019 · IEEE Transactions on Smart Grid · OSTI ID:1801339

Comprehensive assessment of deep reinforcement learning approaches for economic dispatch in nuclear-driven microgrids

Journal Article · Sun Jun 22 20:00:00 EDT 2025 · Computers and Electrical Engineering · OSTI ID:2573806

Related Subjects

MATHEMATICS AND COMPUTING
POWER TRANSMISSION AND DISTRIBUTION
interactive visualization
multi-fidelity
power systems
stochastic economic dispatch

Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch

Citation Formats

References (16)

Similar Records

Related Subjects