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Geomagnetic Disturbance Uncertainty Quantification Modeling: An Electromagnetic Transient and Steady-State Simulation based Approach | IEEE Conference Publication | IEEE Xplore

Geomagnetic Disturbance Uncertainty Quantification Modeling: An Electromagnetic Transient and Steady-State Simulation based Approach


Abstract:

Geomagnetic disturbances have been shown to disrupt the operation of the bulk electrical system through lowfrequency effects in the earth’s magnetic field that in turn in...Show More

Abstract:

Geomagnetic disturbances have been shown to disrupt the operation of the bulk electrical system through lowfrequency effects in the earth’s magnetic field that in turn induce changing electrical fields on the earth’s surface. As a result, geomagnetically induced currents flow in transmission lines, introducing the risk for widespread damage to high-voltage transformers and voltage collapse due to induced reactive power loss. In a previous work, the authors showed how certain modeling assumptions can lead to results that are unacceptable in certain edge case scenarios. In this paper, the authors build on their previous results using a probabilistic approach for uncertainty quantification in order to compare the results from electromagnetic transient program modeling software, ATP, to the positive-sequence calculation software, PowerWorld.
Date of Conference: 23-26 October 2023
Date Added to IEEE Xplore: 30 January 2024
ISBN Information:
Conference Location: Grenoble, France

Funding Agency:

References is not available for this document.

I. Introduction

As observed through geomagnetic disturbance (GMD) events, GMD can severely affect critical infrastructure and its operation through induced quasi-direct currents [1]. The power industry has been working towards understanding the impact of geomagnetically-induced currents (GICs) on the grid and in the development of tools to help with mitigation over the last decade. This work has led to the creation of a North American Electric Reliability Corporation (NERC) Standard TPL-007-4 [2], which is being implemented and has led to the developed GMD assessment processes that consider physics-based models.

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1.
A. G. McNish, "The Magnetic Storm of March 24 1940", Terrestrial Magnetism and Atmospheric Electricity, vol. 45, no. 3, pp. 359-364.
2.
TPL-007-4 Transmission System Planned Performance for Geomagnetic Disturbance Events, 2020, [online] Available: https://www.nerc.com/pa/Stand/Reliability%20Standards/tpl-007-4.PDF.
3.
A. S. Bretas, N. G. Bretas and B. E. Carvalho, "Further Contributions to Smart Grids Cyber-Physical Security as a Malicious Data Attack: Proof and Properties of the Parameter Error Spreading Out to the Masurements and a Relaxed Correction Model", International Journal of Electrical Power & Energy Systems, vol. 104, pp. 43-51, 2019.
4.
A. Bretas, N. Bretas, S. Braunstein, A. Rossoni and R. Trevizan, "Multiple Gross Errors Detection Identification and Correction in Three-Phase Distribution Systems WLS State Estimation: A Per-Phase Measurement Error Approach", Electric Power Systems Research, vol. 151, pp. 174-185, 2017, [online] Available: https://www.sciencedirect.com/science/article/pii/S0378779617302109.
5.
N. G. Bretas and A. S. Bretas, "A Two Steps Procedure in State Estimation Gross Error Detection Identification and Correction", International Journal of Electrical Power Energy Systems, vol. 73, pp. 484-490, 2015, [online] Available: https://www.sciencedirect.com/science/article/pii/S0142061515002495.
6.
T. J. Overbye, T. R. Hutchins, K. Shetye, J. Weber and S. Dahman, "Integration of Geomagnetic Disturbance Modeling into the Power Flow: A Methodology for Large-Scale System Studies", 2012 North American Power Symposium (NAPS), pp. 1-7, 2012.
7.
T. R. Hutchins and T. J. Overbye, "Power System Dynamic Performance during the Late-Time (E3) High-Altitude Electromagnetic Pulse", 2016 Power Systems Computation Conference (PSCC), pp. 1-6, 2016.
8.
U. Bui, T. J. Overbye, K. Shetye, H. Zhu and J. Weber, "Geomagnetically Induced Current Sensitivity to Assumed Substation Grounding Resistance", 2013 North American Power Symposium (NAPS), pp. 1-6, 2013.
9.
M. Kazerooni, H. Zhu and T. J. Overbye, "Improved Modeling of Geomagnetically Induced Currents Utilizing Derivation Techniques for Substation Grounding Resistance", IEEE Transactions on Power Delivery, vol. 32, no. 5, pp. 2320-2328, 2016.
10.
A. S. Bretas, K. Brown, V. Hartoonian, T. McDermott and J. Dagle, "Towards Improved Decision Making for the Smarter Grid: Geomagnetic Disturbance Implicit Modeling Uncertainty Quantification", IEEE Power and Energy Society General Meeting, pp. 1-5, 2023.
11.
H.K. Høidalen, ATPDraw, 2020, [online] Available: https://www.atpdraw.net/.
12.
PowerWorld, 01 2023, [online] Available: https://www.powerworld.com/.
13.
T. Zou, A. S. Bretas, C. Ruben, S. C. Dhulipala and N. Bretas, "Smart Grids Cyber-Physical Security: Parameter Correction Model Against Unbalanced False Data Injection Attacks", Electric Power Systems Research, vol. 187, pp. 106490, 2020, [online] Available: https://www.sciencedirect.com/science/article/pii/S0378779620302935.
14.
A. S. Bretas, N. G. Bretas, J. B. London and B. E. Carvalho, CyberPhysical Power Systems State Estimation, Elsevier, 2021, [online] Available: https://www.sciencedirect.com/book/9780323900331/cyberphysical-power-systems-state-estimation?via=ihub=.
15.
N. G. Bretas and A. S. Bretas, "The Extension of the Gauss Approach for the Solution of an Overdetermined Set of Algebraic Non Linear Equations", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 9, pp. 1269-1273, 2018.
16.
N. G. Bretas, S. A. Piereti, A. S. Bretas and A. C. P. Martins, "A geometrical view for multiple gross errors detection identification and correction in power system state estimation", IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2128-2135, 2013.
17.
N. Bretas, A. Bretas and S. Piereti, "Innovation concept for measurement gross error detection and identification in power system state estimation", IET Generation Transmission Distribution, vol. 5, pp. 603-608(5), June 2011.
18.
X. Dong, Y. Liu and J. Kappenman, "Comparative Analysis of Exciting Current Harmonics and Reactive Power Consumption from GIC Saturated Transformers", IEEE PES 2001 Winter Meeting, 2001.

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References

References is not available for this document.