Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile

Yunting Liu; Leon M. Tolbert; Paychuda Kritprajun; Qihuan Dong; Lin Zhu; Joshua C. Hambrick; Kevin Schneider; Kumaraguru Prabakar

doi:10.1109/PESGM46819.2021.9637932

Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile

Yunting Liu, Leon M. Tolbert, Paychuda Kritprajun, Qihuan Dong, Lin Zhu, Joshua C. Hambrick, Kevin Schneider, Kumaraguru Prabakar

Energy and Control Systems Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Power system simulations with long-term data tend to have large time steps varying from one second to a few minutes. However, for PV inverter semiconductors, the minimum thermal stresses cycle is with line frequency. This requires the time step of the fatigue simulation to be much smaller than the line period. This small time step results in poor simulation speed, especially for long-term simulations. This paper proposes a fast fatigue simulation for inverter semiconductors using the quasi-static time series (QSTS) simulation concept. The fatigue analysis typically focuses on the peak and valley values of a strain and neglect the transients from peaks to valleys. The proposed simulation utilizes this property of fatigue analysis and calculates the steady state of the semiconductor junction temperature only. The resulting time step of the fatigue simulation is 15 minutes, which is consistent with the solar dataset without losing accuracy.

Original language	English
Title of host publication	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665405072
DOIs	https://doi.org/10.1109/PESGM46819.2021.9637932
State	Published - 2021
Event	2021 IEEE Power and Energy Society General Meeting, PESGM 2021 - Washington, United States Duration: Jul 26 2021 → Jul 29 2021

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2021-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Country/Territory	United States
City	Washington
Period	07/26/21 → 07/29/21

Funding

This work was primarily supported by u.s. Department of Energy Grid Modernization Lab Consortium. This work also made use of Engineering Research Center shared facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number [EEC-l 041877] and the CURENT Industry Partnership Program.

Keywords

Fatigue analysis
fast simulation
inverter aging
solar photovoltaic energy

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10.1109/PESGM46819.2021.9637932

Cite this

Liu, Y., Tolbert, L. M., Kritprajun, P., Dong, Q., Zhu, L., Hambrick, J. C., Schneider, K., & Prabakar, K. (2021). Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile. In 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 (IEEE Power and Energy Society General Meeting; Vol. 2021-July). IEEE Computer Society. https://doi.org/10.1109/PESGM46819.2021.9637932

@inproceedings{5aefff10fee1471283375fc49d629460,

title = "Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile",

abstract = "Power system simulations with long-term data tend to have large time steps varying from one second to a few minutes. However, for PV inverter semiconductors, the minimum thermal stresses cycle is with line frequency. This requires the time step of the fatigue simulation to be much smaller than the line period. This small time step results in poor simulation speed, especially for long-term simulations. This paper proposes a fast fatigue simulation for inverter semiconductors using the quasi-static time series (QSTS) simulation concept. The fatigue analysis typically focuses on the peak and valley values of a strain and neglect the transients from peaks to valleys. The proposed simulation utilizes this property of fatigue analysis and calculates the steady state of the semiconductor junction temperature only. The resulting time step of the fatigue simulation is 15 minutes, which is consistent with the solar dataset without losing accuracy.",

keywords = "Fatigue analysis, fast simulation, inverter aging, solar photovoltaic energy",

author = "Yunting Liu and Tolbert, {Leon M.} and Paychuda Kritprajun and Qihuan Dong and Lin Zhu and Hambrick, {Joshua C.} and Kevin Schneider and Kumaraguru Prabakar",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 ; Conference date: 26-07-2021 Through 29-07-2021",

year = "2021",

doi = "10.1109/PESGM46819.2021.9637932",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

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Liu, Y, Tolbert, LM, Kritprajun, P, Dong, Q, Zhu, L, Hambrick, JC, Schneider, K & Prabakar, K 2021, Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile. in 2021 IEEE Power and Energy Society General Meeting, PESGM 2021. IEEE Power and Energy Society General Meeting, vol. 2021-July, IEEE Computer Society, 2021 IEEE Power and Energy Society General Meeting, PESGM 2021, Washington, United States, 07/26/21. https://doi.org/10.1109/PESGM46819.2021.9637932

Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile. / Liu, Yunting; Tolbert, Leon M.; Kritprajun, Paychuda et al.
2021 IEEE Power and Energy Society General Meeting, PESGM 2021. IEEE Computer Society, 2021. (IEEE Power and Energy Society General Meeting; Vol. 2021-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile

AU - Liu, Yunting

AU - Tolbert, Leon M.

AU - Kritprajun, Paychuda

AU - Dong, Qihuan

AU - Zhu, Lin

AU - Hambrick, Joshua C.

AU - Schneider, Kevin

AU - Prabakar, Kumaraguru

PY - 2021

Y1 - 2021

N2 - Power system simulations with long-term data tend to have large time steps varying from one second to a few minutes. However, for PV inverter semiconductors, the minimum thermal stresses cycle is with line frequency. This requires the time step of the fatigue simulation to be much smaller than the line period. This small time step results in poor simulation speed, especially for long-term simulations. This paper proposes a fast fatigue simulation for inverter semiconductors using the quasi-static time series (QSTS) simulation concept. The fatigue analysis typically focuses on the peak and valley values of a strain and neglect the transients from peaks to valleys. The proposed simulation utilizes this property of fatigue analysis and calculates the steady state of the semiconductor junction temperature only. The resulting time step of the fatigue simulation is 15 minutes, which is consistent with the solar dataset without losing accuracy.

AB - Power system simulations with long-term data tend to have large time steps varying from one second to a few minutes. However, for PV inverter semiconductors, the minimum thermal stresses cycle is with line frequency. This requires the time step of the fatigue simulation to be much smaller than the line period. This small time step results in poor simulation speed, especially for long-term simulations. This paper proposes a fast fatigue simulation for inverter semiconductors using the quasi-static time series (QSTS) simulation concept. The fatigue analysis typically focuses on the peak and valley values of a strain and neglect the transients from peaks to valleys. The proposed simulation utilizes this property of fatigue analysis and calculates the steady state of the semiconductor junction temperature only. The resulting time step of the fatigue simulation is 15 minutes, which is consistent with the solar dataset without losing accuracy.

KW - Fatigue analysis

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KW - inverter aging

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Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile

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