A method for establishing an early warning model for wind turbine cascading off-grid faults
An early warning and chain off-grid technology, which is applied in wind power generation, AC network circuits, single-network parallel feeding arrangements, etc., can solve problems such as the difficulty in establishing system modeling for topological parameters and operating condition data, and achieve high practical value. Ease of obtaining measured values and shortening the calculation time
Active Publication Date: 2019-12-31
HUAQIAO UNIVERSITY
View PDF6 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] The present invention provides a method for establishing an early warning model for fan chain off-grid faults, which overcomes the difficulty in establishing a system model that requires a large number of topology parameters and operating condition data in the prior art method for establishing an early warning model for fan chain off-grid faults provide reliable early warning information for power operators, and provide solid technical support for preventing further deterioration of accidents and effectively preventing chain off-grid accidents
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment
[0040] Example, figure 1 For the flow chart of the method for establishing an early warning model for wind turbine cascading out-of-grid faults, see figure 1 , the method includes the following steps:
[0041] S1: Collect the voltage data of the grid-connected point of the wind farm real-time monitored by the SCADA system of the wind farm, and specifically collect the bus voltage of the grid-connected point of a wind power plant feeder three-phase short-circuit fault, such as figure 2 As shown, it is used as the observation of the early warning model of wind turbine chain disconnection;
[0042] S2: From the observations collected in step S1, collect the data before the failure, and based on the principle of early warning of critical slowdown, use wavelet decomposition to detrend the data before the voltage drop, and extract the high frequency of the processed data dynamic signal;
[0043] S3: Select an appropriate sliding window for the high-frequency dynamic signal obtai...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an early warning model establishment method for a fan cascading offline fault. Data before voltage drop is subjected to high frequency dynamic signal data extraction in a wavelet decomposition way based on a critical slowing down early warning principle by wind power plant grid-connected point voltage data monitored by a wind power plant SCADA system in real time; next, a proper sliding window is selected for the signal, and calculation of variance and coefficient of autocorrelation is performed to find an early warning signal before voltage sudden change of the system; and by calculating the variance and coefficient of autocorrelation of the wavelet decomposition high-frequency signals of different orders in different window lengths, the stability of the early warning signal is analyzed. In a condition of not establishing an accurate network model, the "critical slowing down" statistical characteristic in the voltage time sequence data is recognized, and early warning is sent out before voltage drop, so that the early warning model of the fan cascading offline fault is obtained, and early warning for fan cascading offline can be realized.
Description
technical field [0001] The invention relates to the technical field of electric power system security defense, in particular to a method for establishing an early warning model of fan chain off-grid faults based on critical slowdown theory. Background technique [0002] With the development of wind power technology, its scale has become larger and its operation mechanism has become more and more complex. Among them, although the probability of wind turbine cascading faults is small, the consequences are very serious. The fault symptoms and early warnings are detected in the early stage of the fault, so that after the initial fault occurs, special measures are taken for the areas or components that are likely to have secondary faults. Monitoring and isolation are of great significance. [0003] Most of the existing methods for early warning of cascading failures are based on the mechanism of cascading failures, and models are built to simulate the occurrence of cascading fai...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38
CPCH02J3/386H02J2203/20Y02E10/76
Inventor 方瑞明王彦东
Owner HUAQIAO UNIVERSITY