Distribution‐based PV module degradation model

The degradation of photovoltaic modules has an impact on various parameters modules. Ignoring the or inaccurate estimation will lead to wrong power dispatching strategies and economic losses. For PV module life reliability estimation, it is necessary first establish accurate statistical model module. main goal this paper analyze a selection explicit based distribution. Since related time, study assumed that those in Gamma Gaussian distributions are time. Five models calculated maximum likelihood particle swarm optimization. Through verification comparison measured data, performance these four cases: long-term data fitting, prediction, single-module short-term multimodule fitting evaluated. results show proposed great improvement over original model, constant-σ distribution achieves best performance.