Method of correcting power station data deviation according to grid connection point gateway meter manually-read data

Abstract

The invention discloses a method of correcting power station data deviation according to grid connection point gateway meter manually-read data. Through building a function relation, with the photovoltaic power station grid connection point absolute precision 0.2%-stage gateway meter manually-read day power generation amount as a standard, data acquired by a power station monitoring system, errorcoefficients and the function relation are used, the equivalent output power P0.2, the voltage U0.2 and the current I0.2 at the grid connection point are calculated respectively, with the above as thestandards, photovoltaic power station transformer measurement and control data acquired by the power station monitoring system are subjected to deviation correction, the deviation correction value ofthe transformer measurement and control data further uses as a standard, the acquired inverter data are subjected to deviation correction, the deviation correction value of the inverter data furtheruses as a standard, the acquired photovoltaic power station combiner box data are subjected to deviation correction, and so on and so forth, layer-by-layer recursive correction is carried out on output data of a radiation meter.

Description

Technical field [0001] The invention relates to a method for correcting data deviation of a solar photovoltaic power generation system power station. Background technique [0002] With the rapid development of photovoltaics, the introduction of intelligent monitoring of power stations has greatly improved the safety, scientific management, and maintenance of power stations, as well as the power generation efficiency of power stations. Through the Internet remote data monitoring and big data analysis, the photovoltaic power plant management has been improved, all of which are supported by the reliability, authenticity and accuracy of a large amount of field data. However, the reality is very far from the original intention of power station intelligence. For example, for the same physical quantity, the reflected values ​​of the two devices are quite different: 1. The current at the inverter input end of the photovoltaic power station should be equal to the sum of the output current...

AI Technical Summary

Problems solved by technology

[0003] Due to the inconsistency and inaccuracy of the data, it is impossible to analyze the irregular data of the power station, so the intelligent monitoring of the power station is useless, resulting in a great loss of resources

[0004] Based on the above phenomenon, if the existing power station is replaced by hardware equipment to solve the above problems, firstly, the investment will be large and time-consuming, and secondly, the cost will be high, which is equivalent to buildin

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