Complex Power Quality Disturbance Analysis Method Based on Two-way Long Short-Term Memory
A power quality disturbance, long-term and short-term memory technology, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of inability to accurately determine the start and end moments of disturbance, complicated implementation process, and low recognition accuracy, and achieve the solution of judgment Distortion problem, reduce algorithm complexity, and ensure the effect of integrity
Active Publication Date: 2020-05-22
XIAN UNIV OF TECH
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0007] The purpose of the present invention is to provide a complex power quality disturbance analysis method based on two-way long-term and short-term memory, which solves the problems of low recognition accuracy, complex implementation process, and poor real-time performance in the prior art, and it is impossible to accurately determine the start and end moments of the disturbance. Shortcomings
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
[0052] The complex power quality disturbance analysis method based on two-way long-term and short-term memory is implemented according to the following steps:
[0053] Step 1, use measuring instruments to collect a number of voltage or current signals in the power system to be detected or use the mathematical model shown in formula (1) to obtain a series of swells, sags, interruptions, oscillation transients, pulse transients , harmonics / interharmonics, and fluctuations of seven types of basic PQDs and the total samples of complex PQDs composed of different combinations, wherein complex PQDs include all combinations of two or more basic PQDs, and the formula ( 1) When combining complex PQDs, the following principles should be followed: a. The same parameter cannot be mutated in two different ways at the same time; b. Different parameters can be mutated at the same time; c. The existence of additive disturbances is not limited by parameter changes ;
[0054] The unified parame...
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 a complex power quality disturbance analysis method based on two-way long-term and short-term memory, specifically: collecting several voltage or current signals in the power system to be detected or using a mathematical model to obtain 7 types of basic PQDs and complex PQDs composed of different combinations Total samples; samples are marked and converted into sequence form, and then the samples are divided into training set and test set; a two-way long-short-term memory neural network model is constructed and trained; then over-fitting judgments are made, and hyperparameters are adjusted if over-fitting occurs , and then retrain, and so on, until there is no overfitting; use the retrained neural network model for PQD judgment, the input data is the signal sequence data, and the output data is the electric energy type corresponding to each data in the sequence. The invention solves the disadvantages of low recognition accuracy, complex realization process, poor real-time performance, and inability to accurately determine the start and end moments of the disturbance existing in the prior art.
Description
technical field [0001] The invention belongs to the technical field of power quality analysis and detection methods, and relates to a complex power quality disturbance analysis method based on bidirectional long-short-term memory. Background technique [0002] Accurate identification of disturbance types is the premise and foundation of complex power quality disturbance (Power Quality Disturbance, PQD) analysis. Power Quality Disturbance (PQD) can be divided into basic PQD and complex PQD. According to the time characteristics of the disturbance, the basic PQD is divided into steady state disturbance (mainly including harmonic / interharmonic, fluctuation, etc.) and transient disturbance (mainly including sag, swell, interruption, oscillation transient, pulse transient, etc. ). Complex PQD is composed of basic PQD with different disturbance types, different disturbance intensities, and different start and end times, especially the disturbance with superimposed transient comp...
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): G01R31/00G06N3/04
CPCG01R31/00G06N3/045
Inventor 邓亚平王璐贾颢同向前
Owner XIAN UNIV OF TECH