A prediction system and method for large-scale new energy output characteristics

Abstract

The invention provides a prediction system and a prediction method for large-scale new energy output characteristics. The prediction system comprises an original data collection module, a data analysis processing module, a correlation coefficient optimization module and a continuous output characteristic correction module. The system is characterized in that the original data collection module isused for collecting or collecting related information of to-be-predicted new energy, the data analysis processing module is used for processing the related information of the to-be-predicted new energy collected or collected by the original data collection module, and the related coefficient optimization module is used for optimizing parameters or characteristic parameters processed by the processing module. The system and the method have good engineering feasibility and application prospect based on the smoothing effect of spatial dispersity on the overall output characteristic and the influence of the capacity of a single project on the self output characteristic.

Description

technical field [0001] This application relates to the technical field of power system stability analysis, in particular to a prediction system and method for large-scale new energy output characteristics. Background technique [0002] In recent years, with the rapid development of renewable energy power generation technology, the installed capacity of new energy such as wind power and photovoltaic power generation has increased rapidly. However, new energy power generation often has the characteristics of randomness, volatility, and intermittency. It brings great challenges to the safe and stable operation and control of the power system. [0003] Therefore, for the access of large-scale new energy, the actual engineering is often based on the output characteristics of new energy, the capacity reliability of new energy, the impact of new energy on the balance of power and electricity, and the optimal capacity ratio of different new energy. Research. [0004] As the basis ...

AI Technical Summary

Problems solved by technology

However, in actual engineering, the output characteristics (per unit value) of a single or a small number of new energy projects are often directly regarded as the overall output characteristics of large-scale new energy, ignoring the impact of the spatial dispersion of new energy projects on the overall output characteristics of new energy. smoothing effect, and did not consider the differences in output characteristics of new energy projects with different capacities

Therefore, there is a large error between this output characteristic and the overall output characteristic of the actual large-scale new energy. If follow-up research is carried out on the basis of this output characteristic, the analysis results will also have a large deviation.

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