A microgrid photovoltaic power generation short-term prediction method based on deep learning

Abstract

The invention relates to the field of micro-grid photovoltaic power generation system research, in particular to a micro-grid photovoltaic power generation short-term prediction method based on deep learning, which comprises the following steps of: 1, data preprocessing: performing supplementary correction on bad data and missing data in historical data, and then performing normalization processing to form training sample data; 2, dividing the processed sample data into sample subsets of different seasons and different generalized weather types, and inputting the sample subsets into an LSTM prediction model as training samples; 3, establishing an LSTM short-term prediction model according to the weather type, and training is completed; And 4, selecting a corresponding LSTM prediction sub-model according to the season to which the prediction day belongs and the weather type prediction information, and outputting a photovoltaic power generation short-term prediction value at a future moment. According to the method, the deep learning algorithm is adopted to deeply mine the output characteristics of the photovoltaic power generation and establish the prediction model, expensive meteorological measurement equipment and instruments are not needed, the cost is reduced, and the method has a wide application range.

Description

technical field [0001] The invention relates to the research field of microgrid photovoltaic power generation systems, in particular to a short-term prediction method for microgrid photovoltaic power generation based on deep learning. Background technique [0002] Solar energy is an inexhaustible new energy source with zero carbon emissions. Photovoltaic power generation has been fully developed as one of its main utilization methods. With the continuous increase of installed capacity of photovoltaic power generation, the random fluctuation of photovoltaic power generation and its large-scale grid connection make grid dispatching require the use of energy storage equipment or other adjustable units for peak regulation to realize photovoltaic power generation. control, otherwise we can only abandon light. Therefore, how to maximize the consumption of photovoltaic power generation under the condition of ensuring the safe and economical operation of the power grid is particula...

AI Technical Summary

Problems solved by technology

The economic dispatching operation of microgrid needs comprehensive renewable energy forecasting information, load forecasting information and future market information to formulate plans, while the traditional grid dispatching method only considers load forecasting, which cannot meet the safety and economical operation requirements of the power grid.

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