High wind power penetration power grid frequency stability risk evaluation method and processor

Abstract

The invention relates to the technical field of power grids, in particular to a high wind power penetration power grid frequency stability risk evaluation method and a processor. The method comprises the following steps: determining an evaluation index of a high wind power penetration power grid frequency stability risk and a probability function corresponding to the evaluation index through a Bayesian network graph; determining the weight of the evaluation index through a BP neural network; determining a risk matrix of high wind power penetration power grid frequency stability; and determining a corresponding risk level according to the evaluation index. According to the scheme, the logic relation between large-scale wind power integration and power grid frequency stability can be analyzed according to the Bayesian network diagram to determine the risk evaluation index, and the influence of wind power integration on the power grid can be comprehensively reflected; a risk evaluation index probability function is determined according to the wind power fluctuation probability function, and the occurrence probability of each index can be accurately reflected; and the index weight is determined through a BP neural network learning method, and the frequency safety weight of the complex dynamic characteristic under the active disturbance of the power system can be determined.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a method and a processor for evaluating the frequency stability risk of a power grid with high wind power penetration. Background technique [0002] With the rapid development of renewable energy in my country, large-scale wind power grid integration seriously affects the safe and stable operation of my country's power grid, and grid frequency stability is one of the important standards for grid safety and reliability. In order to achieve the goals of "carbon peaking" and "carbon neutrality", the proportion of wind power continues to increase, and it is of great significance to establish a risk assessment method for frequency stability of high wind power penetration grids. [0003] In the existing technology, there are too many and too few indicators in the risk assessment process of high wind power penetration grid frequency stability. Too many indicators will lead to slow a...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the problem of inaccurate selection of the index probability function existing in the prior art, and provide a high wind power penetration power grid frequency stability risk assessment method and processor, the index probability function determination method provided by the latter is compatible with wind power Volatility correlation, high accuracy and online application prospects

Images