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Real-time identification method and system for dominant oscillation mode of electric power system under fault disturbance

A power system and fault disturbance technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as large amount of calculation, inability to accurately identify the dominant mode of system oscillation, and increase in the order of the coefficient matrix to achieve output Signal and can be customized, the output signal is rich, the effect of strong modeling ability

Active Publication Date: 2019-08-06
STATE GRID SHAANXI ELECTRIC POWER RES INST +1
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Problems solved by technology

[0004] At present, through precise mathematical modeling of the entire power system, and then eigenvalue analysis, the system oscillation frequency and oscillation mode can be determined, and the system oscillation problem can be quantitatively analyzed; however, with the expansion of the grid scale, the system model is linearized The order of the coefficient matrix is ​​greatly increased, and the mathematical model cannot be accurately obtained; the traditional method cannot accurately obtain the eigenvalues ​​of the system, and the calculation load is large, and the dominant mode of the system oscillation cannot be accurately identified and judged. Real-time identification method of power system oscillation dominant mode under system required fault disturbance

Method used

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  • Real-time identification method and system for dominant oscillation mode of electric power system under fault disturbance
  • Real-time identification method and system for dominant oscillation mode of electric power system under fault disturbance
  • Real-time identification method and system for dominant oscillation mode of electric power system under fault disturbance

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Embodiment 1

[0065] see figure 1 , a method for real-time identification of the dominant mode of power system oscillation under fault disturbance according to an embodiment of the present invention, the specific steps are as follows:

[0066] Step 1: Build a time-domain simulation model of the power system based on electromagnetic transient simulation software

[0067] Step 2: Load the oscillation dominant mode identification module, and connect and combine the established internal modules and component models according to the link information of the modules.

[0068] Step 3: Set parameters such as total simulation time, simulation step size, step size for reading simulation result data, system operation mode, fault disturbance mode, analyzed oscillation signal and analysis result output.

[0069] Step 4: Select the sampling data, sampling frequency and length of time for analysis.

[0070] Step 5: Perform electromagnetic transient time-domain simulation calculations, and import the simu...

Embodiment 2

[0075] see Figure 1 to Figure 5 , Embodiment 2 takes the IEEE first standard model (single machine infinite system) containing series capacitor compensation as an example to introduce the identification method of the oscillation dominant mode of the present invention, specifically comprising:

[0076] Step 1: Build a time domain simulation model based on PSCAD / EMTDC.

[0077] Step 2: Load the oscillation dominant mode identification module, and connect and combine the established internal modules and component models according to the link information of the modules.

[0078] Step 3: Set the total simulation time to 5s, the simulation step to 100us, the step to read the simulation result data to 1000us, and the system operation mode to X c =0.371p.u., the fault disturbance mode is a three-phase short circuit at the equivalent power supply through the transition impedance at 1.5s, the fault duration is 0.075s, and the analyzed oscillation signal is the voltage of the system se...

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Abstract

The invention discloses a real-time identification method and system for the dominant oscillation mode of an electric power system under fault disturbance, which specifically comprises the steps of carrying out fitting analysis on an electric power system oscillation signal to be measured by using a Prony model and combining a WLAV method; iteratively solving the fitting analysis model, stopping the calculation when the preset accuracy requirements are met, obtaining a calculation result, determining an optimal solution of the model order, and thus acquiring an optimal solution p-order Prony model; analyzing the electric power system oscillation signal to be measured by using the optimal solution p-order Prony model, calculating the energy of each oscillation mode, carrying out classification, sorting according to the energy values to determine the oscillation type of the system under the fault disturbance, and identifying the dominant oscillation mode of the system by combining the oscillation type. The identification method disclosed by the invention does not need to establish an accurate mathematical model of the electric power system, and can identify the dominant oscillation mode of the system by only analyzing response signals of each electrical quantity of the system after the occurrence of the fault disturbance.

Description

technical field [0001] The invention belongs to the technical field of power system dynamic behavior analysis, and in particular relates to a real-time identification method and system for a power system oscillation dominant mode under fault disturbance. Background technique [0002] With the rapid development of the electric power industry, the stand-alone capacity of my country's power grid continues to increase, and flexible AC transmission devices and AC-DC hybrid transmission devices for ultra-large-scale long-distance transmission are widely used. my country's power grid has entered the ultra-high voltage, long-distance and large-capacity In the era of AC and DC hybrid transmission, the topology of the power grid is becoming more and more complex and changeable. [0003] The main characteristics of modern power systems are complex structure, changeable operation mode, numerous nonlinear factors and strong randomness of fault disturbance. Since there is no effective met...

Claims

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Application Information

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IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 张青蕾金吉良张艳丽邓俊夏楠章海静李树芃王建波尹俊钢王楷贺瀚青李俊臣
Owner STATE GRID SHAANXI ELECTRIC POWER RES INST
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