Prony algorithm and ill-conditioned data analysis-based power grid low-frequency oscillation on-line detection algorithm

A low-frequency oscillation, ill-conditioned data technology, applied in the direction of reducing/preventing power oscillation, measuring electricity, measuring devices, etc., can solve the problems of inability to guarantee real-time performance, large computational load of offline identification algorithms, and inability to be directly applied to online identification, etc. The effect of strong operability and fast response speed

Active Publication Date: 2017-03-22
ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER +1
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Problems solved by technology

The Prony algorithm and the HHT algorithm have been proven to be effective for offline analysis of low-frequency oscillations. However, the offline identificat

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  • Prony algorithm and ill-conditioned data analysis-based power grid low-frequency oscillation on-line detection algorithm
  • Prony algorithm and ill-conditioned data analysis-based power grid low-frequency oscillation on-line detection algorithm
  • Prony algorithm and ill-conditioned data analysis-based power grid low-frequency oscillation on-line detection algorithm

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[0024] The specific content of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0025] First, the system consists of figure 1 As shown, STATCOM device A detects the three-phase voltage signal and current signal of the power grid access point, calculates the real-time power P through the power calculation module B, and the real-time power P signal enters the low-frequency oscillation identification module G, and the low-frequency oscillation identification module G estimates the power fluctuation The amount ΔP, and finally the ΔP signal is used as the reference value output of the STATCOM device A to adjust the reactive power command.

[0026] Low-frequency oscillation online detection module G such as figure 1 As shown, it includes three parts: signal preprocessing module C, improved Prony algorithm D, and signal reconstruction module E. The signal preprocessing module C is responsible for calculating the instan...

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Abstract

The invention relates to a Prony algorithm and ill-conditioned data analysis-based power grid low-frequency oscillation on-line detection algorithm. According to the algorithm, signals obtained after preprocessing are inputted into a buffer window of 6 to 20 points; a least squares matrix coefficient is calculated; obtained matrix eigenvalues are compared with each other; whether a matrix is an ill-conditioned matrix is judged according to relationships between the eigenvalues; if the matrix is an ill-conditioned matrix, the data are filtered out, otherwise, the least squares method is adopted to obtain a matrix, and a generalized solution is further solved; the parameter of low-frequency oscillation signals is solved according to the generalized solution; and the amplitude, phase angle and attenuation coefficient of the low-frequency oscillation of a power grid can be estimated accurately in real time; and signals estimated by using the parameters can be applied to the linear prediction and suppression of low-frequency oscillation. The method has the advantages of high operability, insensitivity to signal noises, high corresponding speed and economic and practical value.

Description

technical field [0001] The invention relates to an on-line detection method of a low-frequency oscillation signal in a scheme for suppressing low-frequency oscillation of a power grid by using a FACTS device. Background technique [0002] FACTS devices have been widely used in the field of energy conservation and environmental protection today. In addition, the role of FACTS devices in increasing power grid stability margins and improving system dynamic performance in the field of power quality is also increasingly apparent. When the system damping is insufficient or the power angle of the generator is relatively rotated (0.2-2.5Hz) caused by a large disturbance, that is, low-frequency oscillation occurs, using the FACTS device to adjust the power distribution can effectively suppress the oscillation and improve the stability of the system. In this process, it is necessary to accurately identify the oscillation mode online, and estimate the amplitude, phase angle, and attenu...

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Application Information

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IPC IPC(8): G01R31/00H02J3/24
CPCG01R31/00H02J3/24Y02E40/10
Inventor 于永军祁晓笑郭自勇孙贤大王绪宝王方楠徐哲王飞义李海生杨洋刘大贵赵殿波王继浩孔祥声杨永飞范巍
Owner ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER
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