Reduced-Order Thermal Modeling for Photovoltaic Inverters Considering Mission Profile Dynamics

Ariya Sangwongwanich, Huai Wang, Frede Blaabjerg

    Research output: Contribution to journalArticlepeer-review

    13 Scopus citations

    Abstract

    Power devices are among the reliability-critical components in the Photovoltaic (PV) inverter, whose failures are normally related to the thermal stress. Therefore, thermal modeling is required for estimating the thermal stress of the power devices under long-term operating conditions of the PV inverter, i.e., mission profile. Unfortunately, most of the thermal models developed for the power device are not suitable for a long-term thermal stress analysis (e.g., days to months), and there is usually a trade-off between the model accuracy and the computational efficiency. To address this challenge, a reduced-order thermal model for PV inverters is proposed in this paper, where the model simplification is based on the thermal impedance characteristic and the mission profile dynamics. The modeling accuracy is evaluated by comparing the estimated thermal stress with the experimental results from a PV inverter test-bench, where daily mission profiles with various dynamics are tested. According to the results, the proposed method offers a relatively high model accuracy (similar to the full-order thermal model) while the computational efficiency is improved significantly, making it suitable for long-term thermal stress modeling applications.

    Original languageBritish English
    Article number9204453
    Pages (from-to)407-419
    Number of pages13
    JournalIEEE Open Journal of Power Electronics
    Volume1
    DOIs
    StatePublished - 2020

    Keywords

    • IGBT
    • inverters
    • mission profile
    • Photovoltaic (PV) systems
    • power semiconductor device
    • reliability
    • thermal cycling
    • thermal modeling

    Fingerprint

    Dive into the research topics of 'Reduced-Order Thermal Modeling for Photovoltaic Inverters Considering Mission Profile Dynamics'. Together they form a unique fingerprint.

    Cite this