Integrating photovoltaic inverter reliability into energy yield estimation with Markov models

Sairaj V. Dhople; Ali Davoudi; Patrick L. Chapman; Alejandro D. Domínguez-García

doi:10.1109/COMPEL.2010.5562393

Integrating photovoltaic inverter reliability into energy yield estimation with Markov models

Sairaj V. Dhople
, Ali Davoudi
, Patrick L. Chapman
, Alejandro D. Domínguez-García

Electrical and Computer Engineering

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

36 Scopus citations

Abstract

Markov reliability models to estimate Photovoltaic (PV) inverter reliability are proposed for utility-interactive systems. These are then extended to generate a unified PV energy-yield model. The integrated reliability-energy yield framework is superior to conventional methods as it accounts for inverter failures and repairs. The proposed analytical framework is utilized to compare conventional central inverter architectures to emerging architectures that employ microinverters. Case studies applied to a 9 kW residential system indicate that over a 25 year period, in typical operating conditions, microinverters provide higher energy yield as compared to a conventional system. Additionally, the analysis demonstrates that the energy yield is more sensitive to the repair time compared to the mean time to failure of the inverters.

Original language	English (US)
Title of host publication	2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010
DOIs	https://doi.org/10.1109/COMPEL.2010.5562393
State	Published - Oct 22 2010
Event	2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010 - Boulder, CO, United States Duration: Jun 28 2010 → Jun 30 2010

Publication series

Name	2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010

Other

Other	2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010
Country/Territory	United States
City	Boulder, CO
Period	6/28/10 → 6/30/10

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy yield estimation
Markov reliability models
Photovoltaic energy conversion
Utility-interactive inverters

Publisher link

10.1109/COMPEL.2010.5562393

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Dhople, S. V., Davoudi, A., Chapman, P. L., & Domínguez-García, A. D. (2010). Integrating photovoltaic inverter reliability into energy yield estimation with Markov models. In 2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010 Article 5562393 (2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010). https://doi.org/10.1109/COMPEL.2010.5562393

Integrating photovoltaic inverter reliability into energy yield estimation with Markov models. / Dhople, Sairaj V.; Davoudi, Ali; Chapman, Patrick L. et al.
2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010. 2010. 5562393 (2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010).

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

Dhople, SV, Davoudi, A, Chapman, PL & Domínguez-García, AD 2010, Integrating photovoltaic inverter reliability into energy yield estimation with Markov models. in 2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010., 5562393, 2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010, 2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010, Boulder, CO, United States, 6/28/10. https://doi.org/10.1109/COMPEL.2010.5562393

Dhople SV, Davoudi A, Chapman PL, Domínguez-García AD. Integrating photovoltaic inverter reliability into energy yield estimation with Markov models. In 2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010. 2010. 5562393. (2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010). doi: 10.1109/COMPEL.2010.5562393

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title = "Integrating photovoltaic inverter reliability into energy yield estimation with Markov models",

abstract = "Markov reliability models to estimate Photovoltaic (PV) inverter reliability are proposed for utility-interactive systems. These are then extended to generate a unified PV energy-yield model. The integrated reliability-energy yield framework is superior to conventional methods as it accounts for inverter failures and repairs. The proposed analytical framework is utilized to compare conventional central inverter architectures to emerging architectures that employ microinverters. Case studies applied to a 9 kW residential system indicate that over a 25 year period, in typical operating conditions, microinverters provide higher energy yield as compared to a conventional system. Additionally, the analysis demonstrates that the energy yield is more sensitive to the repair time compared to the mean time to failure of the inverters.",

keywords = "Energy yield estimation, Markov reliability models, Photovoltaic energy conversion, Utility-interactive inverters",

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AU - Davoudi, Ali

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N2 - Markov reliability models to estimate Photovoltaic (PV) inverter reliability are proposed for utility-interactive systems. These are then extended to generate a unified PV energy-yield model. The integrated reliability-energy yield framework is superior to conventional methods as it accounts for inverter failures and repairs. The proposed analytical framework is utilized to compare conventional central inverter architectures to emerging architectures that employ microinverters. Case studies applied to a 9 kW residential system indicate that over a 25 year period, in typical operating conditions, microinverters provide higher energy yield as compared to a conventional system. Additionally, the analysis demonstrates that the energy yield is more sensitive to the repair time compared to the mean time to failure of the inverters.

AB - Markov reliability models to estimate Photovoltaic (PV) inverter reliability are proposed for utility-interactive systems. These are then extended to generate a unified PV energy-yield model. The integrated reliability-energy yield framework is superior to conventional methods as it accounts for inverter failures and repairs. The proposed analytical framework is utilized to compare conventional central inverter architectures to emerging architectures that employ microinverters. Case studies applied to a 9 kW residential system indicate that over a 25 year period, in typical operating conditions, microinverters provide higher energy yield as compared to a conventional system. Additionally, the analysis demonstrates that the energy yield is more sensitive to the repair time compared to the mean time to failure of the inverters.

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KW - Markov reliability models

KW - Photovoltaic energy conversion

KW - Utility-interactive inverters

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ER -

Integrating photovoltaic inverter reliability into energy yield estimation with Markov models

Abstract

Publication series

Other

UN SDGs

Keywords

Publisher link

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