Power generation predictive control method for photovoltaic power station

Abstract

The invention discloses a power generation predictive control method for a photovoltaic power station. The method comprises the following steps of: firstly, acquiring weather forecast data in a future time period; and secondly, combining the weather forecast data, current longitude and latitude data, the installed capacity of the photovoltaic power station and historical power generation data of the photovoltaic power station, and thus obtaining the power generation total quantity of the photovoltaic power station in the future time period. Therefore, the power generation quantity situation of some day can be judged, corresponding plan information and early warning information can be output by software, and power generation loss and equipment damage caused by weather change are avoided.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method for predictive control of photovoltaic power station power generation. Background technique [0002] Solar power generation is divided into photothermal power generation and photovoltaic power generation. Generally speaking, solar power generation refers to solar photovoltaic power generation, referred to as "photoelectricity". Photovoltaic power generation is a technology that directly converts light energy into electrical energy by using the photovoltaic effect at the semiconductor interface. The key element of this technology is the solar cell. The solar cells are packaged and protected after being connected in series to form a large-area solar cell module, and then cooperate with power controllers and other components to form a photovoltaic power generation device. A photovoltaic power station is a system that integrates equipment, power gene...

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Problems solved by technology

[0005] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a method for forecasting and controlling the power generation of photovoltaic power plants, which aims to solve the problem that the photovoltaic power plants in the prior art cannot predict and analyze the future power generation situation, and cannot output corresponding countermeasures.

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