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Low-frequency oscillation parameter identification method based on improved Prony algorithm

A low-frequency oscillation and parameter identification technology, applied in the field of electric power, can solve problems such as no solution, high dimensionality of complex matrix, and difficulty in finding an inverse matrix

Inactive Publication Date: 2017-01-04
NARI TECH CO LTD +4
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Problems solved by technology

However, when the Prony algorithm is applied, the solution of the parameters needs to use the inversion of the complex matrix, which may involve a high dimension of the complex matrix in practical applications, which brings trouble to the calculation, and even causes no solution.
At the same time, when the value of the matrix determinant is small, it is difficult to find its inverse

Method used

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  • Low-frequency oscillation parameter identification method based on improved Prony algorithm
  • Low-frequency oscillation parameter identification method based on improved Prony algorithm
  • Low-frequency oscillation parameter identification method based on improved Prony algorithm

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Embodiment Construction

[0054] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0055] Such as figure 1 As shown, the method for identifying low-frequency oscillation parameters based on the improved Prony algorithm includes the following steps:

[0056] Step 1, collect sampling data y(1), y(2),...,y(N); where N is the number of sampling points, y(n) is the nth sampling value, n∈[1,N].

[0057] Step 2. Write the second-order moment sample matrix Re of the Prony algorithm according to the sampled data, and determine the effective rank p and coefficient a of the second-order moment sample matrix Re 1 ,a 2 ,...,a p The least squares estimate of .

[0058] The second moment sample matrix Re is,

[0059]

[0060] Among them, pe is the initial order, and the value is [N / ...

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Abstract

The invention discloses a low-frequency oscillation parameter identification method based on an improved Prony algorithm. The original matrix inversion operation is replaced by a neural network; a matrix to be solved is used as a weight; the weight is adjusted through a gradient descent; a low-frequency oscillation parameter of the Prony algorithm is solved; repetitive solving of generalized inverse of a complex matrix is avoided; simultaneously, cyclical iteration is adopted; calculation is simply carried out; the precision is relatively high; whether a cost function is in a given precision range or not can be checked through correction of the weight; therefore, calculation is carried out more simply and effectively; operation of a synchronous phasor measurement device is optimized; and furthermore, reliable original data and data support are provided for functions, such as wide-area monitoring of an all-system power grid, automatic measurement and control of a transformer substation, steady control and self-adaptive relay protection.

Description

technical field [0001] The invention relates to a low-frequency oscillation parameter identification method based on an improved Prony algorithm, and belongs to the technical field of electric power. Background technique [0002] With the increasing scale of the power grid, the continuous operation of large-capacity units in the power grid, and the widespread use of fast excitation, low-frequency oscillations often occur in large-scale interconnected power grids. During the oscillation process of the power system, the power of the transmission line is transmitted back and forth, which affects the normal operation of the power system and directly reduces the transmission capacity of the system, so that the power production and transmission capacity cannot be fully utilized, and the system will lose synchronization in severe cases. Therefore, low-frequency oscillation is one of the important issues that threaten the safe and stable operation of my country's interconnected grid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06F17/16G06N3/02
CPCG06F17/16G06N3/02H02J3/00H02J2203/20Y02E60/00
Inventor 沈健殷鑫檀永周斌张敏侯明国夏成林
Owner NARI TECH CO LTD
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