Photovoltaic power forecasting system

Abstract

The invention discloses a photovoltaic power forecasting system. The technical problem to be solved is to accurately forecast the photovoltaic power of a photovoltaic generation station and guarantee the safe and stable running of the power system. The photovoltaic power forecasting system provided by the invention is equipped with a data collecting module, a weather forecasting module, a database and a forecasting module, wherein the forecasting module comprises the following steps for forecasting the generation power: classifying, training the model and forecasting the result. Compared with the prior art, the invention has the advantages that a K mean value clustering algorithm is adopted for acquiring and forecasting a plurality of sample days most similar to the day feature according to the real-time weather data and real-time generation data, the data of the sample days are adopted for training the BP neural network model, the forecasting module after training is adopted for calculating the short-term and ultra-short-term forecasting generation power data, the photovoltaic generation power of the photovoltaic generation station can be accurately forecast, the safe, stable and optimized running of the power system can be ensured, the running maintenance difficulty of the photovoltaic power forecasting system is low, the operation is easy and the cost is low.

Description

technical field [0001] The invention relates to a photovoltaic power station, in particular to a system for predicting the generated power of the photovoltaic power station. Background technique [0002] With the rapid growth of energy consumption and the continuous deterioration of the environment, in order to promote the sustainable development of human society, new energy sources such as solar energy and wind energy have attracted worldwide attention. Photovoltaic installed capacity has grown extremely rapidly and has great potential for development. The power generation of photovoltaic power stations is affected by solar radiation and ambient temperature, which has obvious fluctuations and intermittences. The large-scale and distributed photovoltaic power stations connected to the power grid have a huge impact on the planning, operation, scheduling and control of the power system. challenge. Accurate prediction of photovoltaic power can not only provide a basis for pow...

AI Technical Summary

Problems solved by technology

The power generation of photovoltaic power stations is affected by solar radiation and ambient temperature, which has obvious fluctuations and intermittences. The large-scale and distributed photovoltaic power stations connected to the power grid have a huge impact on the planning, operation, scheduling and control of the power system. challenge

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