Method for evaluating health degree of photovoltaic cell panel set strings

Abstract

The invention discloses a method for evaluating the health degree of photovoltaic cell panel set strings. The method comprises a step S101 of collecting PV characteristic curve data of each set string; a step S102 of calculating set string dispersion; a step S103 of calculating set string dispersion speed; a step S104 of calculating set string attenuation rate; and a step S105 of calculating set string attenuation speed. According to the method, the health degree of the photovoltaic cell panel set strings of a whole power station is monitored comprehensively, the monitored data categories are rich, the monitored data volume is large, monitored data have good real-time performance, and users can master quality of the photovoltaic cell panel set strings of the whole power station and follow-up development conditions comprehensively in real time.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method for evaluating the health degree of a photovoltaic cell panel string. Background technique [0002] A photovoltaic power station generally consists of functional units such as battery strings, DC combiner boxes, inverters, step-up transformers, static dynamic var compensation devices (SVG), and monitoring centers. A 1MW power generation unit is generally equipped with about 200-300 photovoltaic panel strings (referred to as strings). As the core conversion equipment of photovoltaic to electricity, the photovoltaic power station currently has very few monitoring methods for the failure of the photovoltaic power station itself. The existing photovoltaic power station monitoring system is not enough to monitor strings, the types of monitored data are small, the amount of monitored data is small, the real-time performance of monitoring data is poor, an...

AI Technical Summary

Problems solved by technology

As the string is the core conversion equipment for photovoltaic to electricity, there are very few monitoring methods for the failure of the photovoltaic power station itself.

The existing photovoltaic power station monitoring system is not enough to monitor strings, the types of monitored data are small, the amount of monitored data is small, the real-time performance of monitoring data is poor, and the data information of each DC combiner box is not synchronized, so it is impossible to fully grasp the photovoltaic panels of the entire power station. String quality and subsequent development, therefore, an index system for comprehensively evaluating the overall health of photovoltaic panel strings in power stations is urgently needed

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