Photovoltaic power station generation power prediction method and system

Abstract

The invention provides a photovoltaic power station generation power prediction method and system, and belongs to the technical field of generated power, and the method comprises the steps of collecting the current generated power influence factor data of a photovoltaic power station, inputting a trained generated power prediction model for analysis, and predicting the generated power of the photovoltaic power station, wherein the generated power prediction model is obtained by training multiple groups of data; the multiple groups of data comprise generated power influence factor historical data and labels for labeling actual generated power under the influence factor historical data; the historical data of the generated power influence factors comprises component temperature, environment temperature, illumination radiation, air pressure, relative humidity and meteorological data. According to the invention, the prediction of the irradiation intensity is added into the prediction of the photovoltaic power generation power by using a large amount of collected data, so that the accuracy of load prediction is effectively improved, the power load scheduling is guided, and the power generator set is adjusted by starting and stopping, so that the consumption of photovoltaic power generation energy is ensured, and the waste of resources such as photovoltaic abandoned light and electricity is reduced.

Description

technical field [0001] The invention relates to the technical field of generating power prediction, in particular to a method and system for predicting generating power of a photovoltaic power station. Background technique [0002] Compared with conventional power generation methods (thermal power, hydropower, nuclear power), photovoltaic power generation has obvious advantages, such as safety and reliability, no pollution emission, and wide distribution of resources. At present, photovoltaic power generation has become the second largest power generation method, and the technology is mature, the development is the fastest, and the prospect At the same time, photovoltaic power generation has obvious intermittent and random fluctuations. The traditional power generation method has stable and controllable power generation load. In the long-term development and practical work, it has also accumulated a lot of experience in load forecasting and control. A rapidly emerging field....

AI Technical Summary

Problems solved by technology

[0004] At present, among the large-scale grid-connected photovoltaic power plants that have been put into operation in my country, due to the intermittent nature of photovoltaic power generation and strong dependence on weather factors, the function of power prediction is not perfect, and the performance indicators and prediction accuracy need to be improved, which cannot meet the needs of power grid dispatching. In order to meet the needs of management and optimized operation, it is urgent to develop a power prediction system for photovoltaic power plants that adapts to the actual situation of my country's power grid.

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