Photovoltaic power station string fault diagnosis method, device and equipment and readable storage medium

Abstract

The invention belongs to the technical field of solar power generation. The invention discloses photovoltaic power station string fault diagnosis method, device and equipment and a readable storage medium, which are applied to a photovoltaic power station with string inverters. The string inverters have an IV curve scanning function, and the diagnosis method comprises the following steps: obtaining IV curve scanning data of each string inverter of the photovoltaic power station; counting the number of zero-current data with the current of zero in the IV curve scanning data, establishing an IVcurve function corresponding to each string inverter according to the IV curve scanning data without the zero-current data, calculating a characteristic value of the IV curve function, and calculatinga characteristic value limit value and a zero-current data limit value; and performing judging according to the characteristic value limit value and the zero current data limit value to obtain the fault condition of the corresponding photovoltaic power station string. Faults can be diagnosed by utilizing an existing string inverter, the scanning calculation speed is high, the fault diagnosis accuracy is high, the missed detection probability is low, the labor cost is low, and the method has great popularization value.

Description

technical field

[0001] The invention belongs to the technical field of solar power generation, and relates to a fault diagnosis method, device, equipment and a readable storage medium for photovoltaic power station strings. Background technique

[0002] In recent years, with the massive construction of photovoltaic power stations, people pay more and more attention to the operation and maintenance of photovoltaic power stations. However, it is difficult to diagnose string-level faults through changes in operating current and voltage and inspections by operation and maintenance personnel, which will affect the power generation revenue of the power station. Therefore, it is particularly important to accurately diagnose string-level faults.

[0003] The existing string-level fault diagnosis methods at home and abroad can be mainly classified into two categories: one is that the operation and maintenance personnel use the thermal imager to make inspections. It takes a long time...

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