Metal Oxide Varistor (MOV) Lifetime Estimation with Impulse-Based Testing in PV Inverter Systems: Preprint

Yuxi Men; Xiaonan Lu; Zheyu Zhang; Ramanathan Thiagarajan

Metal Oxide Varistor (MOV) Lifetime Estimation with Impulse-Based Testing in PV Inverter Systems: Preprint

Yuxi Men, Xiaonan Lu, Zheyu Zhang, Ramanathan Thiagarajan

Power Systems Engineering

Research output: Contribution to conference › Paper

Abstract

Surges caused by lightning strikes could damage electrical components in photovoltaic (PV) systems. Metal oxide varistors (MOVs) are commonly used to protect PV systems from lightning strikes. In this paper, a holistic impulse-based MOV lifetime estimation framework is proposed. The impacts of peak current and fault duration induced by lightning events are considered in the MOV lifetime estimation framework. Moreover, the impact of different parameter combinations on MOV lifetime estimation is analyzed. The effectiveness of the proposed work is validated in a PV inverter test system developed in MATLAB/Simulink.

Original language	American English
Number of pages	7
State	Published - 2022
Event	2022 IEEE 13th International Symposium Power Electronics for Distributed Generation Systems (PEDG) - Kiel, Germany Duration: 26 Jun 2022 → 29 Jun 2022

Conference

Conference	2022 IEEE 13th International Symposium Power Electronics for Distributed Generation Systems (PEDG)
City	Kiel, Germany
Period	26/06/22 → 29/06/22

Bibliographical note

See NREL/CP-5D00-84998 for paper as published in proceedings

NREL Publication Number

NREL/CP-5D00-82874

Keywords

lifetime estimation
metal oxide varistors (MOVs)
photovoltaic (PV) systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy22osti/82874.pdf

Cite this

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title = "Metal Oxide Varistor (MOV) Lifetime Estimation with Impulse-Based Testing in PV Inverter Systems: Preprint",

abstract = "Surges caused by lightning strikes could damage electrical components in photovoltaic (PV) systems. Metal oxide varistors (MOVs) are commonly used to protect PV systems from lightning strikes. In this paper, a holistic impulse-based MOV lifetime estimation framework is proposed. The impacts of peak current and fault duration induced by lightning events are considered in the MOV lifetime estimation framework. Moreover, the impact of different parameter combinations on MOV lifetime estimation is analyzed. The effectiveness of the proposed work is validated in a PV inverter test system developed in MATLAB/Simulink.",

keywords = "lifetime estimation, metal oxide varistors (MOVs), photovoltaic (PV) systems",

author = "Yuxi Men and Xiaonan Lu and Zheyu Zhang and Ramanathan Thiagarajan",

note = "See NREL/CP-5D00-84998 for paper as published in proceedings; 2022 IEEE 13th International Symposium Power Electronics for Distributed Generation Systems (PEDG) ; Conference date: 26-06-2022 Through 29-06-2022",

year = "2022",

language = "American English",

}

TY - CONF

T1 - Metal Oxide Varistor (MOV) Lifetime Estimation with Impulse-Based Testing in PV Inverter Systems: Preprint

AU - Men, Yuxi

AU - Lu, Xiaonan

AU - Zhang, Zheyu

AU - Thiagarajan, Ramanathan

N1 - See NREL/CP-5D00-84998 for paper as published in proceedings

PY - 2022

Y1 - 2022

N2 - Surges caused by lightning strikes could damage electrical components in photovoltaic (PV) systems. Metal oxide varistors (MOVs) are commonly used to protect PV systems from lightning strikes. In this paper, a holistic impulse-based MOV lifetime estimation framework is proposed. The impacts of peak current and fault duration induced by lightning events are considered in the MOV lifetime estimation framework. Moreover, the impact of different parameter combinations on MOV lifetime estimation is analyzed. The effectiveness of the proposed work is validated in a PV inverter test system developed in MATLAB/Simulink.

AB - Surges caused by lightning strikes could damage electrical components in photovoltaic (PV) systems. Metal oxide varistors (MOVs) are commonly used to protect PV systems from lightning strikes. In this paper, a holistic impulse-based MOV lifetime estimation framework is proposed. The impacts of peak current and fault duration induced by lightning events are considered in the MOV lifetime estimation framework. Moreover, the impact of different parameter combinations on MOV lifetime estimation is analyzed. The effectiveness of the proposed work is validated in a PV inverter test system developed in MATLAB/Simulink.

KW - lifetime estimation

KW - metal oxide varistors (MOVs)

KW - photovoltaic (PV) systems

M3 - Paper

T2 - 2022 IEEE 13th International Symposium Power Electronics for Distributed Generation Systems (PEDG)

Y2 - 26 June 2022 through 29 June 2022

ER -

Metal Oxide Varistor (MOV) Lifetime Estimation with Impulse-Based Testing in PV Inverter Systems: Preprint

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this