Prony analysis method suitable for low-frequency oscillation and subsynchronous oscillation identification

A technology of subsynchronous oscillation and analysis method, applied in neural learning methods, complex mathematical operations, biological neural network models, etc., can solve problems such as large amount of calculation, accurate order determination error, difficult to reflect the non-stationarity of dynamic process, etc., to achieve The effect of increasing the calculation speed

Active Publication Date: 2020-04-21
HOHAI UNIV +2
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Problems solved by technology

However, the algorithm is very sensitive to noise and is easily disturbed by noise, and it is difficult to reflect the non-stationarity of the dynamic process; it is difficult to solve the complex matrix equations of the algorithm, and there is a prob

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  • Prony analysis method suitable for low-frequency oscillation and subsynchronous oscillation identification
  • Prony analysis method suitable for low-frequency oscillation and subsynchronous oscillation identification
  • Prony analysis method suitable for low-frequency oscillation and subsynchronous oscillation identification

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Embodiment Construction

[0022] In order to better understand the technical content of the present invention, specific embodiments are described below in conjunction with the accompanying drawings.

[0023] In this disclosure, various aspects of the present invention are described with reference to the accompanying drawings, in which numerous illustrated embodiments are shown. The embodiments of the present disclosure are not necessarily intended to include all aspects of the present invention. It should be understood that the various concepts and embodiments introduced above, as well as those described in more detail below, can be implemented in any of many ways, because the concepts and embodiments disclosed in the present invention are not Limited to any implementation. In addition, some aspects disclosed in the present invention can be used alone or in any appropriate combination with other aspects disclosed in the present invention.

[0024] According to an embodiment of the present invention, a Pro...

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Abstract

The invention provides a Prony analysis method suitable for low-frequency oscillation and subsynchronous oscillation identification, and the method comprises the steps: constructing a sample matrix ofan extended order based on actual measurement data; determining an effective rank of the sample matrix by adopting a method based on singular value decomposition, i.e., a calculation order of a Pronyalgorithm; solving a characteristic polynomial, and constructing a new matrix equation according to the solved characteristic root; adopting a BP neural network-based method to iteratively solve theconstructed matrix equation; and calculating Prony parameters: amplitude, attenuation factor, frequency and initial phase based on the solved characteristic root and the solution of the matrix equation. The invention provides a new method for order determination by using a Prony calculation method. The defects of a calculation order selection method in a traditional algorithm can be overcome; themethod is advantaged in that quasi-order determination is realized, iterative solution is carried out through employing a BP neural network-based method, defects of a conventional algorithm in complexmatrix calculation are improved, complex matrix equation solution speed of the Prony algorithm is improved, and the method is superior to a conventional Prony algorithm to a certain degree.

Description

Technical field [0001] The invention relates to the field of monitoring and analysis of low-frequency oscillations and sub-synchronous oscillations of electric power systems, in particular to a Prony analysis method suitable for identification of low-frequency oscillations and sub-synchronous oscillations. Background technique [0002] In recent years, with the acceleration of my country's trans-regional interconnection process, the advancement of UHV transmission networks, the increase of long-distance transmission power, and the use of series capacitor compensation in long-distance AC transmission systems to increase the transmission capacity of the grid, these measures are all It may cause low-frequency oscillation or subsynchronous oscillation of the power system. At present, these two kinds of oscillation problems are one of the important factors that undermine the safe and stable operation of the power system. Non-linear time variation is an important feature of large-scale...

Claims

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Application Information

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IPC IPC(8): G06F17/12G06F17/16G06N3/04G06N3/08
CPCG06F17/12G06F17/16G06N3/084G06N3/045
Inventor 余一平樊陈窦仁晖刘杨杨晨金标
Owner HOHAI UNIV
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