RELIABILITY ANALYSIS OF IGBT FOR PV INVERTER WITH REACTIVE POWER OUTPUT CAPABILITY
In this paper,a data-driven IGBT reliability evaluation method is proposed to quantitatively evaluate IGBT reliability in PV inverters according to active power,reactive power,solar irradiance and ambient temperature.At the same time,LightGBM machine learning model is used to replace the traditional thermoelectric coupling model,which effectively improves the calculation efficiency of IGBT junction temperature and reduces the dependence of IGBT reliability evaluation results on IGBT model parameters.Finally,based on IEEE 33 node distribution system,the reliability of IGBT PV inverters participating in reactive power regulation of distribution network was evaluated quantitatively.
solar energydistribution networkphotovoltaic inverterreliability analysisLightGBM modeljunction temperature
NETL
NSTL
万方数据
