Accelerating Simulation for High-Fidelity PV Inverter System Reliability Assessment with High-Performance Computing

Liwei Wang, Ramanathan Thiagarajan, Shuangshuang Jin, Zheyu Zhang

Research output: Contribution to conferencePaperpeer-review

2 Scopus Citations

Abstract

The overall cost of photovoltaic (PV) systems has shown a downward trend during 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 the lifetime prediction and degradation evaluation of PV inverters. This paper proposes an event-driven parallel computing-based simulator. The proposed simulator applies high-performance computing techniques and other accessory optimization techniques-including cluster merging, adaptive model updates, 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 languageAmerican English
Pages178-182
Number of pages5
DOIs
StatePublished - 2022
Event49th IEEE Photovoltaics Specialists Conference, PVSC 2022 - Philadelphia, United States
Duration: 5 Jun 202210 Jun 2022

Conference

Conference49th IEEE Photovoltaics Specialists Conference, PVSC 2022
Country/TerritoryUnited States
CityPhiladelphia
Period5/06/2210/06/22

Bibliographical note

See NREL/CP-5D00-82969 for preprint

NREL Publication Number

  • NREL/CP-5D00-85070

Keywords

  • High-performance Computing
  • Power Electronics
  • PV System
  • Reliability Assessment

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