Method and system for determining power output of photovoltaic power station

Abstract

The invention discloses a method and a system for determining power output of photovoltaic power stations. The method includes the following steps: determining a space-time correlation model of randomness components of power output of multiple photovoltaic power stations on the basis of a Copula function; on the basis of the space-time correlation model, determining randomness components of power output of each photovoltaic power station; obtaining determinacy components of power output of each photovoltaic power station; and combining the randomness components of power output of the photovoltaic power stations with the determinacy components of power output of the photovoltaic power stations, and obtaining the power output of the photovoltaic power stations. The method and the system for determining power output of photovoltaic power stations take space-time correlation among multiple photovoltaic power stations into consideration, and can accurately determine the power output of each photovoltaic power station.

Description

technical field [0001] The invention relates to the field of photovoltaic power generation, in particular to a method and system for determining the output of a photovoltaic power station. Background technique [0002] Photovoltaic power generation has attracted widespread attention because of its advantages such as wide distribution, convenient use, and no pollution. It is the fastest growing renewable energy in recent years. However, the output of photovoltaic power plants is affected by environmental factors such as radiation intensity, temperature, and weather conditions, and its output is highly random and intermittent. When photovoltaic power plants are connected to the grid on a large scale, there is a certain correlation between the output of different power plants, and the randomness and correlation of the output of multiple photovoltaic power plants will have a greater impact on the safe and reliable operation of the power grid. Therefore, it is of great significa...

AI Technical Summary

Problems solved by technology

In the first type of method, the conversion function of radiation intensity and photovoltaic power requires high accuracy, and different power plants have different conversion functions due to different structures, so it is difficult to apply in practice; the second type of method has higher requirements for measured data and requires data. based on years or even decades of data

In summary, the above two methods have certain defects, and there are still deficiencies in describing the spatial correlation between the output of multiple photovoltaic power plants and the temporal correlation before and after the photovoltaic power of a single power station.

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