Power generation prediction system and method based on equipment operation state and meteorological parameters

Abstract

The invention relates to the technical field of photovoltaic power station generation power prediction, in particular to a power generation prediction system and method based on an equipment operation state and meteorological parameters. The power generation power prediction system based on the equipment operation state and the meteorological parameters comprises: a plurality of visible light-infrared thermal imaging integrated cameras, which are used for shooting a photovoltaic module to obtain an ash deposition visible light image and a hot spot infrared thermal image; and a plurality of image analysis modules, which are connected with the visible light-infrared thermal imaging integrated cameras in a one-to-one correspondence manner and are used for analyzing the ash deposition visible light image and the hot spot infrared thermal image so as to obtain the power generation power loss rate caused by the photovoltaic module. The generation power of the photovoltaic power station is jointly predicted by combining the dust deposition and hot spot conditions of the photovoltaic module, the maximum power adjustment real-time parameters of the inverter of the photovoltaic module and the efficiency parameters of the transformer on the basis of the environmental meteorological parameters, and the accuracy and reliability of prediction of the generation power of the photovoltaic power station are effectively improved.

Description

technical field [0001] The invention relates to the technical field of power generation prediction of photovoltaic power plants, in particular to a power generation power prediction system and method based on equipment operating status and meteorological parameters. Background technique [0002] With the large-scale and high-proportion development of wind power and photovoltaic energy in my country, it brings great challenges to the balance of the power grid and the safe and stable operation of the economy, and puts forward higher technical requirements for the prediction accuracy and accuracy of the wind power prediction system. [0003] Factors affecting the power generation of photovoltaic systems include meteorological parameters (such as irradiance, ambient temperature, wind speed, etc.), operating status of photovoltaic modules (dust accumulation on modules, hot spots, etc.), inverter adjustment status (inverter adjustment according to control strategy) maximum power o...

AI Technical Summary

Problems solved by technology

In addition, photovoltaic hot spots will damage the packaging materials of photovoltaic cells or modules, affecting the normal operation of photovoltaic arrays and the safety of photovoltaic power plants.

[0004] However, the current photovoltaic power generation power prediction system mainly considers the influence of meteorological parameters and cloud cover, and seldom considers the operating status of photovoltaic modules and the real-time status of inverter power regulation, resulting in large errors in the prediction results of photovoltaic power generation power. Difficult to meet the technical requirements of grid connection and dispatching

For example, the patent application number CN201810367181.X discloses a combined evaluation method and device for photovoltaic power generation prediction method, which predicts power generation according to environmental parameters, without considering the operating status of photovoltaic modules, inverters and transformers , leading to inaccurate prediction results of power generation

For another example, the patent application number CN201310430694.8 discloses a method and system for predicting photovoltaic power generation power, which predicts power generation power based on solar radiation intensity and temperature, and also does not consider the operating status of photovoltaic modules, inverters and transformers. Leading to large errors in the prediction results of power generation

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