Embodiments of the present application provide a fault detection method, apparatus, apparatus, and storage medium for a photovoltaic power station. The fault detection method comprises the following steps of: acquiring photovoltaic power generation and environmental parameters of the photovoltaic power station in a specified period of time; According to the neutralization of the environmental parameters and the neural network model trained in advance, the power prediction value and prediction error of the photovoltaic power station in a specified period of time are determined. According to thepower of photovoltaic power generation, power prediction value and prediction error, whether the photovoltaic power station has a fault in a specified period of time is judged. The embodiment of thepresent application realizes accurate detection of photovoltaic power station faults, is applicable to photovoltaic power stations in various environments at provincial or national scales connected tothe State Grid Distributed Photovoltaic Cloud Network, and can realize effective dispatch of a large number of photovoltaic power stations at provincial or national scales.