Intelligent operation and maintenance method based on ensemble learning photovoltaic forecasting

Abstract

The invention discloses an intelligent operation and maintenance method based on integrated learning photovoltaic prediction, comprising the following steps: S1, preprocessing the historical photovoltaic data of a power station collected by a photovoltaic monitoring cloud platform; S2, pre-processing the historical photovoltaic data of the photovoltaic monitoring cloud platform; S2, analyzing thecharacteristic correlation of the pre-processed data to determine the strong correlation factors affecting the output power of the power generation quantity; 3, establishing a photovoltaic predictionmodel and fitting data; S4, training the photovoltaic prediction model and optimizing the model; 5, embedding a photovoltaic prediction model into a photovoltaic monitoring platform, inputting data inreal time to obtain a prediction value, comparing the prediction value with the actual value, and setting a deviation interval; S6: guiding the operation and maintenance of the power station according to the interval where the deviation value in step S5 is located. The intelligent operation and maintenance method based on the integrated learning photovoltaic prediction provided by the invention predicts the photovoltaic power through the integrated learning algorithm and embeds the photovoltaic prediction model into the photovoltaic monitoring cloud platform, thereby improving the construction quality of the power station, reducing the later operation and maintenance cost of the power station and reducing the artificial input.

Description

technical field [0001] The invention relates to an intelligent operation and maintenance method for photovoltaic prediction, in particular to an intelligent operation and maintenance method for photovoltaic prediction based on integrated learning. Background technique [0002] In recent years, due to its clean, pollution-free and renewable characteristics, solar energy has attracted more and more public attention. At the same time, photovoltaic power generation has become a research hotspot in the field of renewable energy in the world today. However, due to the uncertainty and intermittent characteristics of photovoltaic power, large-scale photovoltaic grid-connected operation will increase the difficulty of grid dispatching and affect the safe, stable and economical operation of the power system. Accurate prediction of photovoltaic power is the premise to effectively mitigate the adverse impact of large-scale photovoltaic grid-connected on the power grid, and it has impor...

AI Technical Summary

Problems solved by technology

The components of a photovoltaic power station are provided by many manufacturers. Without professional knowledge, it is difficult to determine where there is a problem in the power station. The corresponding manufacturer cannot be found, and maintenance is not timely, which will affect the revenue and power generation efficiency of the power station.

In addition, some power stations are scattered and distributed in remote areas. Once a failure occurs, it is difficult to carry out operation and maintenance.

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