Power grid self-organized critical state quantitative evaluation method based on multi-level variable weight theory

Abstract

The invention discloses a power grid self-organized critical state quantitative evaluation method based on the multi-level variable weight theory in the field of power system cascading failure prevention and defense. The method includes the steps that a key index set influencing power grid self-organized critical states is determined; the self-organized criticality of a power grid under each operation state in a sample set is determined; an original physical index set is divided into a physical layer and a factor layer, and the weight of a physical layer index under each operation state in the sample set is calculated on the basis of the positive and negative ideal variable weight theory; the expression and dimensionality of a factor index are calculated on the basis of a principal component analysis method, and it is guaranteed that information of the factor index is not overlapped; a matrix and a principal component information expression factor are judged on the basis of consistency established by physical layer index weights, and the weight of a factor layer index is calculated; by means of the rank-sum ratio comprehensive evaluation method, the factor layer index serves as input, and an estimated value is calculated. The method is capable of comprehensively describing the influence mechanisms of each factor on the power grid self-organized critical states and quantitatively evaluating the self-organized critical states of the power grid, and is high in computation speed.

Description

technical field [0001] The invention relates to the technical field of power system cascading failure prevention and defense, in particular to a quantitative evaluation method for power grid self-organizing critical state based on multi-level variable weight theory. Background technique [0002] With the rapid development of large-scale new energy, especially wind power, the volatility of wind power has brought many unstable factors to the safe operation of the power grid. In order to ensure the stability of power grid operation, wind power often needs to be carried out by coupling wind and fire. However, due to the limitations of conventional thermal power technology output and ramp rate, it is sometimes difficult to track the fluctuation characteristics of wind power. If the wind power is in peak hours at this time, the sharp wind power fluctuations will have a great impact on the stability of the power grid and may cause large-scale blackouts Accidents; and large-scale wi...

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Problems solved by technology

[0005] The purpose of the present invention is to, in view of the above problems, propose a self-organized critical state quantitative evaluation method based on the multi-level variable weight theory, to solve the above problems existing in the existing method

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