Abstract
The overall cost of PV systems has shown a downward trend over the last decade. However, PV inverter failures account for the highest cost of operation and maintenance. To address this, reliability tools with powerful computation and better accuracy are required for lifetime prediction and degradation evaluation of PV inverters. An event-driven parallel computing-based simulator is proposed in this paper. The proposed simulator applies high-performance computing techniques and other accessory optimization techniques including cluster merging, adaptive model update, and steady-state identification to make reliability assessments for PV inverters under given input mission profiles and operating conditions with high efficiency and high fidelity. The main idea of the simulator and its workflow are introduced. Then, a demo PV inverter system simulator is implemented, and the speedup of the total simulations of the switching model reaches 123.03 times.
Original language | American English |
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Number of pages | 8 |
State | Published - 2022 |
Event | 49th IEEE Photovoltaic Specialists Conference (PVSC 49) - Philadelphia, Pennsylvania Duration: 5 Jun 2022 → 10 Jun 2022 |
Conference
Conference | 49th IEEE Photovoltaic Specialists Conference (PVSC 49) |
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City | Philadelphia, Pennsylvania |
Period | 5/06/22 → 10/06/22 |
Bibliographical note
See NREL/CP-5D00-85070 for paper as published in proceedingsNREL Publication Number
- NREL/CP-5D00-82969
Keywords
- high-performance computing
- power electronics
- pv system
- reliability assessment