CN111965464A - Electric energy quality early warning system based on monitoring data analysis - Google Patents
Electric energy quality early warning system based on monitoring data analysis Download PDFInfo
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- CN111965464A CN111965464A CN202010863938.1A CN202010863938A CN111965464A CN 111965464 A CN111965464 A CN 111965464A CN 202010863938 A CN202010863938 A CN 202010863938A CN 111965464 A CN111965464 A CN 111965464A
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Abstract
The invention discloses a power quality early warning system based on monitoring data analysis, which is characterized in that a target data acquisition module is used for acquiring power quality disturbance parameters and sending the power quality disturbance parameters to a server, the server is used for classifying and storing the power quality disturbance parameters, the power quality disturbance parameters are identified to obtain a power quality disturbance event identification result, a power quality disturbance event is sent to a monitoring terminal, the monitoring terminal is used for carrying out visual processing on the power quality disturbance parameters based on Tableau Desktop to realize visual analysis on the power quality disturbance parameters, a short-term power quality forecast information is obtained by analyzing the power quality disturbance parameters by using a short-term prediction script, and when the power quality disturbance event identification result is received and/or the short-term power quality forecast information falls into a preset early warning threshold, a dialog box is popped up and early warning is realized in a mode of carrying voice broadcast, the autonomous acquisition and the autonomous analysis processing of the power quality disturbance parameters are realized.
Description
Technical Field
The invention relates to the field of power monitoring, in particular to a power quality early warning system based on monitoring data analysis.
Background
The electric power system has a large number of nonlinear, impact and fluctuating loads, such as high-power frequency conversion equipment and dragging devices, electrified railways, rectifying equipment in the electrochemical industry, induction heating furnaces, electric arc furnaces and the like, and the loads cause the problems of waveform distortion (harmonic waves), voltage fluctuation, flicker, three-phase imbalance, asymmetry and the like of the power grid, so that the electric energy quality of the power grid is seriously reduced. Meanwhile, precise electronic instruments controlled by a computer and a microprocessor are widely used in national economic enterprises, the sensitivity to power supply quality is higher and higher, and higher requirements are provided for the power quality, so that the power quality problem and the solution thereof gradually become the research hotspots. To improve the power quality of the power grid, accurate detection and analysis of the power quality are required, the power quality level of the power grid is measured, and the reasons causing various power quality problems are analyzed and judged, so that a basis is provided for improving the power quality.
Disclosure of Invention
The invention aims to provide a power quality early warning system based on monitoring data analysis, which realizes the autonomous acquisition and autonomous analysis processing of power quality disturbance parameters, thereby realizing the intuitive expression, accurate classification and identification of power quality events and providing a basis for improving the power quality.
In order to solve the technical problem, the invention provides an electric energy quality early warning system based on monitoring data analysis, which comprises: the system comprises a target data acquisition module, a server and a monitoring terminal;
wherein the target data acquisition module comprises: the device comprises a voltage transformer, a current transformer, a data format processor respectively connected with the voltage transformer and the current transformer, an anti-aliasing filter connected with the data format processor, a zero-crossing comparator connected with the anti-aliasing filter, a coupled frequency multiplication delay phase-locked loop circuit connected with the zero-crossing comparator, an analog-to-digital conversion circuit connected with the coupled frequency multiplication delay phase-locked loop circuit, a CPLD connected with the analog-to-digital conversion circuit and a DSP controller connected with the CPLD; the target data acquisition module is used for acquiring power quality disturbance parameters and sending the power quality disturbance parameters to the server;
the server is used for classifying and storing the power quality disturbance parameters, identifying the power quality disturbance parameters to obtain a power quality disturbance event identification result, and sending the power quality disturbance event identification result to the monitoring terminal;
the monitoring terminal is used for carrying out visual processing on the power quality disturbance parameters based on Tableau Desktop, analyzing the power quality disturbance parameters by utilizing a short-term prediction script which is established in advance based on a statistical regression and data driving method to obtain short-term power quality prediction information, and realizing early warning in a mode of popping up a dialog box and carrying voice broadcast when receiving a power quality disturbance event recognition result and/or when the short-term power quality prediction information falls into a preset early warning threshold.
Optionally, the server is further configured to allocate different data identifiers for different power quality disturbance parameters by using source coding.
Optionally, the server identifies the power quality disturbance parameter to obtain a power quality disturbance event identification result, which specifically includes:
and the server extracts the characteristic vector of the power quality disturbance parameter based on time-frequency atomic transformation, and expresses, classifies and identifies the power quality disturbance event by taking an improved self-organizing mapping neural network as a classifier to obtain the identification result of the power quality disturbance event.
Optionally, the monitoring terminal analyzes the power quality disturbance parameter by using a short-term prediction script established in advance based on statistical regression and a data driving method to obtain short-term power quality prediction information, which specifically includes:
and when the electric energy quality disturbance event identification result is safe, the monitoring terminal accesses the server to obtain electric energy quality disturbance parameters in a preset time period, and analyzes the electric energy quality disturbance parameters in the preset time period by using the short-term prediction script to obtain the short-term electric energy quality prediction information.
Optionally, the monitoring terminal is further configured to analyze the power quality disturbance event identification result by using a nearest classifier to obtain a corresponding power quality governance parameter;
the power quality governance parameters at least comprise the name of a power quality governance device, the model of the power quality governance device, the access position of the power quality governance device, the access mode of the power quality governance device and the working mode of the power quality governance device.
Optionally, the monitoring terminal is further configured to generate a power quality management task according to the power quality disturbance event identification result and a power quality management parameter corresponding to the power quality disturbance event identification result, and complete dispatch of the power quality management task according to a scheduling condition.
Optionally, the monitoring terminal completes the dispatch of the power quality management task according to the scheduling condition, and specifically includes:
the monitoring terminal generates a power quality management task short message by using a preset short message editing script, the power quality management task short message comprises a power quality disturbance event identification result, a power quality disturbance parameter corresponding to the power quality disturbance event identification result, a power quality management task corresponding to the power quality disturbance event identification result and a power quality management task completion condition input link, a power quality management task completion condition input link is received after a user clicks the power quality management task completion condition input link to enter an input interface provided by the server and corresponding to the power quality management task completion condition input link, the power quality management task completion condition sent by the server is received, and the power quality disturbance event identification result, the power quality management parameter corresponding to the power quality disturbance event identification result and the power quality management parameter corresponding to the power quality management event identification result are stored in a table form And (4) the electric energy quality control task completion condition corresponding to the quality disturbance event identification result.
The electric energy quality early warning system based on monitoring data analysis provided by the invention collects electric energy quality disturbance parameters through a target data collection module and sends the electric energy quality disturbance parameters to a server, the server is used for classifying and storing the electric energy quality disturbance parameters, the electric energy quality disturbance parameters are identified to obtain an electric energy quality disturbance event identification result, the electric energy quality disturbance event is sent to a monitoring terminal, the monitoring terminal is used for carrying out visual processing on the electric energy quality disturbance parameters based on Tableau Desktop to realize visual analysis on the electric energy quality disturbance parameters, short-term electric energy quality forecast information is obtained by analyzing the electric energy quality disturbance parameters through a short-term prediction script which is established in advance based on statistical regression and a data driving method, and when the electric energy quality disturbance event identification result is received and/or the short-term electric energy quality forecast information falls into a preset early warning threshold, early warning is realized in a mode of popping up a dialog box and carrying voice, the method and the device realize the autonomous acquisition and autonomous analysis processing of the power quality disturbance parameters, thereby realizing the visual expression, accurate classification and identification of the power quality events, providing a basis for the improvement of the power quality, and being helpful for prompting workers to learn and process the power quality disturbance events in time.
Drawings
In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a power quality early warning system based on monitoring data analysis according to an embodiment of the present invention;
the system comprises a target data acquisition module 100, a server 200, a monitoring terminal 300, a voltage transformer 101, a current transformer 102, a data format processor 103, an anti-aliasing filter 104, a zero-crossing comparator 105, a coupled frequency multiplication delay phase-locked loop circuit 106, an analog-to-digital conversion circuit 107, a CPLD 108 and a DSP controller 109.
Detailed Description
The core of the invention is to provide a power quality early warning system based on monitoring data analysis, which realizes the autonomous acquisition and autonomous analysis and processing of power quality disturbance parameters, thereby realizing the intuitive expression, accurate classification and identification of power quality events and providing a basis for improving the power quality.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of a power quality early warning system based on monitoring data analysis according to an embodiment of the present invention.
As shown in fig. 1, the power quality early warning system based on monitoring data analysis provided in the embodiment of the present invention includes: the system comprises a target data acquisition module 100, a server 200 and a monitoring terminal 300;
wherein, the target data acquisition module 100 includes: the device comprises a voltage transformer 101, a current transformer 102, a data format processor 103 respectively connected with the voltage transformer 101 and the current transformer 102, an anti-aliasing filter 104 connected with the data format processor 103, a zero-crossing comparator 105 connected with the anti-aliasing filter 104, a coupled frequency multiplication delay phase-locked loop circuit 106 connected with the zero-crossing comparator 105, an analog-to-digital conversion circuit 107 connected with the coupled frequency multiplication delay phase-locked loop circuit 106, a CPLD 108 connected with the analog-to-digital conversion circuit 107 and a DSP controller 109 connected with the CPLD 108; the target data acquisition module 100 is used for acquiring power quality disturbance parameters and sending the power quality disturbance parameters to the server 200;
the server 200 is configured to store the power quality disturbance parameters in a classified manner, identify the power quality disturbance parameters to obtain a power quality disturbance event identification result, and send the power quality disturbance event identification result to the monitoring terminal 300;
the monitoring terminal 300 is configured to perform visualization processing on the power quality disturbance parameter based on the tablet Desktop, analyze the power quality disturbance parameter by using a short-term prediction script established in advance based on statistical regression and a data driving method to obtain short-term power quality prediction information, and perform early warning in a mode of popping up a dialog box and carrying voice broadcast when receiving a power quality disturbance event recognition result and/or when the short-term power quality prediction information falls into a preset early warning threshold.
In a specific implementation, an input end of the voltage transformer 101 is connected with a voltage signal output end of the primary side, an input end of the current transformer 102 is connected with a current signal output end of the primary side, an input end of the data format processor 103 is connected with an output end of the voltage transformer 101 and an output end of the current transformer 102 respectively, an input end of the anti-aliasing filter 104 is connected with an output end of the data format processor 103, an input end of the zero-crossing comparator 105 is connected with an output end of the anti-aliasing filter 104, an output end of the zero-crossing comparator 105 is connected with an input end of the coupled frequency doubling delay phase-locked loop circuit 106 and any one I/O input pin of the CPLD 108 respectively, an output end of the coupled frequency doubling delay phase-locked loop circuit 106 is connected with an input end of the analog-to-digital conversion circuit 107, and an output end, an I/O output pin of the CPLD 108 is connected to an input of the DSP controller 109, and an output of the DSP controller 109 is connected to an input of the server 200.
The voltage transformer 101 and the current transformer 102 in the target data acquisition module 100 realize the acquisition of initial voltage and current signals, and then the electric energy quality disturbance parameters are analyzed and obtained by the DSP controller 109 after the processing of the data format processor 103, the anti-aliasing filter 104, the processing coupled frequency multiplication delay phase-locked loop circuit 106 of the zero-crossing comparator 105, the analog-to-digital conversion circuit 107 and the CPLD 108. The target data collection module 100 may transmit the power quality disturbance parameter to the server 200 through a wired communicator or a wireless communicator. The power quality disturbance parameters are loaded with monitoring section positioning information which is expressed by unique digital identification.
The server 200 is configured to implement classified storage of the power quality disturbance parameters and identification of the power quality disturbance events, and first implement pre-classification of the power quality disturbance parameters through position information carried in the power quality disturbance parameters, then determine reclassification of the power quality disturbance parameters according to sources of the power quality disturbance parameters, and send recognition results of the power quality disturbance events to the monitoring terminal 300 for display. Specifically, the server 200 may extract feature vectors of the power quality disturbance parameters (including single or multiple steady-state, transient and transient power disturbance events in the waveform of the power system, frequency, amplitude and other feature parameters of each classification, and extract mode feature vectors with clear physical significance and specific indexes) based on time-frequency atomic transform (TFT), and express, classify and identify the power quality disturbance events (including voltage sag, short-time power outage, harmonic, inter-harmonic, frequency offset, voltage fluctuation and the like) by using an improved self-organizing map neural network (ISOM) as a classifier, so as to obtain a power quality disturbance event identification result. In addition, the server 200 may be configured to allocate different data identifications for different power quality disturbance parameters by using source coding.
The data processing system is carried in the monitoring terminal 300 and is provided with a data local storage module, a data visualization analysis module, a prediction analysis module and an early warning module, the data local storage module is used for storing electric energy quality disturbance parameters and electric energy quality disturbance event identification results, the data visualization analysis module is used for performing visualization processing on the electric energy quality disturbance parameters based on Tableau Desktop, the prediction analysis module is used for analyzing the electric energy quality disturbance parameters by using a short-term prediction script which is established in advance based on statistical regression and a data driving method to obtain short-term electric energy quality prediction information, and the early warning module is used for controlling that when the electric energy quality disturbance event identification results are received and/or the short-term electric energy quality prediction information falls into a preset early warning threshold, a dialog box is popped up and early warning is realized in a mode of carrying voice broadcasting.
Further, the monitoring terminal 300 analyzes the power quality disturbance parameter by using a short-term prediction script established in advance based on statistical regression and a data driving method to obtain short-term power quality prediction information, which specifically includes: when the power quality disturbance event identification result is safe, the monitoring terminal 300 accesses the server 200 to obtain power quality disturbance parameters in a preset time period, and analyzes the power quality disturbance parameters in the preset time period by using a short-term prediction script to obtain short-term power quality prediction information.
The electric energy quality early warning system based on monitoring data analysis provided by the embodiment of the invention collects electric energy quality disturbance parameters through the target data collection module and sends the electric energy quality disturbance parameters to the server, the server carries out classified storage on the electric energy quality disturbance parameters, the electric energy quality disturbance parameters are identified to obtain an electric energy quality disturbance event identification result, the electric energy quality disturbance event is sent to the monitoring terminal, the monitoring terminal is used for carrying out visual processing on the electric energy quality disturbance parameters based on Tableau Desktop to realize visual analysis on the electric energy quality disturbance parameters, short-term electric energy quality forecast information is obtained by analyzing the electric energy quality disturbance parameters through a short-term prediction script which is established in advance based on statistical regression and data driving methods, and when the electric energy quality disturbance event identification result is received and/or the short-term electric energy quality forecast information falls into a preset early warning threshold, the method realizes early warning in a mode of popping up a dialog box and carrying voice broadcast, realizes autonomous acquisition and autonomous analysis processing of power quality disturbance parameters, realizes intuitive expression, accurate classification and identification of power quality events, provides basis for improvement of power quality, and is helpful for prompting workers to learn and process the power quality disturbance events in time.
On the basis of the foregoing embodiment, in the power quality early warning system based on monitoring data analysis provided in the embodiment of the present invention, the monitoring terminal 300 is further configured to analyze the power quality disturbance event identification result by using a nearest classifier to obtain a corresponding power quality governance parameter.
The power quality governance parameters at least comprise the name of the power quality governance device, the model of the power quality governance device, the access position of the power quality governance device, the access mode of the power quality governance device and the working mode of the power quality governance device.
Further, the monitoring terminal 300 is further configured to generate a power quality management task according to the power quality disturbance event identification result and the power quality management parameter corresponding to the power quality disturbance event identification result, and complete dispatch of the power quality management task according to the scheduling situation.
In a specific implementation, the data processing system of the monitoring terminal 300 is further provided with a power quality management task recording module, configured to generate a power quality management task according to the power quality disturbance event identification result and the power quality management parameter corresponding to the power quality disturbance event identification result, and complete dispatching the power quality management task according to the scheduling condition.
Specifically, based on the power quality management task recording module, the monitoring terminal 300 completes dispatching of the power quality management task according to the scheduling condition, specifically:
the monitoring terminal 300 generates a power quality management task short message by using a preset short message editing script, wherein the power quality management task short message comprises a power quality disturbance event identification result, a power quality disturbance parameter corresponding to the power quality disturbance event identification result, a power quality management task corresponding to the power quality disturbance event identification result, and a power quality management task completion condition input link, and receives the power quality management task completion condition sent by the server 200 after a user clicks the power quality management task completion condition input link to enter a power quality management task completion condition on an input interface corresponding to the power quality management task completion condition input link provided by the server 200, and stores the power quality disturbance event identification result, the power quality management parameter corresponding to the power quality disturbance event identification result, and the power quality management task completion condition corresponding to the power quality disturbance event identification result in a table form The situation is completed.
The monitoring terminal 300 edits the electric energy quality disturbance event identification result, the electric energy quality disturbance parameter corresponding to the electric energy quality disturbance event identification result, the electric energy quality treatment task corresponding to the electric energy quality disturbance event identification result and the electric energy quality treatment task completion condition entry link into a short message and sends the short message to the user terminal, so that a user can check various parameters and click the electric energy quality treatment task completion condition entry link to enter an entry interface provided by the server 200, and the electric energy quality treatment task completion condition is entered in the entry interface. After the server 200 sends the power quality management task completion condition to the monitoring terminal 300, the monitoring terminal 300 stores the power quality disturbance event recognition result, the power quality management parameters corresponding to the power quality disturbance event recognition result, and the power quality management task completion condition corresponding to the power quality disturbance event recognition result in the form of an EXCEL table.
Further, the monitoring terminal 300 may use the MySQL toolkit in python to record the power quality disturbance event identification result, the early warning audio, and the completion condition of the power quality management task into the MySQL database.
The power quality early warning system based on monitoring data analysis provided by the invention is described in detail above. The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (7)
1. The utility model provides a power quality early warning system based on monitoring data analysis which characterized in that includes: the system comprises a target data acquisition module, a server and a monitoring terminal;
wherein the target data acquisition module comprises: the device comprises a voltage transformer, a current transformer, a data format processor respectively connected with the voltage transformer and the current transformer, an anti-aliasing filter connected with the data format processor, a zero-crossing comparator connected with the anti-aliasing filter, a coupled frequency multiplication delay phase-locked loop circuit connected with the zero-crossing comparator, an analog-to-digital conversion circuit connected with the coupled frequency multiplication delay phase-locked loop circuit, a CPLD connected with the analog-to-digital conversion circuit and a DSP controller connected with the CPLD; the target data acquisition module is used for acquiring power quality disturbance parameters and sending the power quality disturbance parameters to the server;
the server is used for classifying and storing the power quality disturbance parameters, identifying the power quality disturbance parameters to obtain a power quality disturbance event identification result, and sending the power quality disturbance event identification result to the monitoring terminal;
the monitoring terminal is used for carrying out visual processing on the power quality disturbance parameters based on Tableau Desktop, analyzing the power quality disturbance parameters by utilizing a short-term prediction script which is established in advance based on a statistical regression and data driving method to obtain short-term power quality prediction information, and realizing early warning in a mode of popping up a dialog box and carrying voice broadcast when receiving a power quality disturbance event recognition result and/or when the short-term power quality prediction information falls into a preset early warning threshold.
2. The monitored-data-analysis-based power quality early warning system of claim 1, wherein the server is further configured to assign different data identifications to different power quality disturbance parameters using source coding.
3. The monitoring data analysis-based power quality early warning system of claim 1, wherein the server identifies the power quality disturbance parameters to obtain a power quality disturbance event identification result, specifically:
and the server extracts the characteristic vector of the power quality disturbance parameter based on time-frequency atomic transformation, and expresses, classifies and identifies the power quality disturbance event by taking an improved self-organizing mapping neural network as a classifier to obtain the identification result of the power quality disturbance event.
4. The power quality early warning system based on monitoring data analysis as claimed in claim 1, wherein the monitoring terminal analyzes the power quality disturbance parameter by using a short-term prediction script established in advance based on statistical regression and data driving methods to obtain short-term power quality prediction information, specifically:
and when the electric energy quality disturbance event identification result is safe, the monitoring terminal accesses the server to obtain electric energy quality disturbance parameters in a preset time period, and analyzes the electric energy quality disturbance parameters in the preset time period by using the short-term prediction script to obtain the short-term electric energy quality prediction information.
5. The monitoring data analysis-based power quality early warning system according to claim 1, wherein the monitoring terminal is further configured to analyze the power quality disturbance event identification result by using a nearest classifier to obtain a corresponding power quality governance parameter;
the power quality governance parameters at least comprise the name of a power quality governance device, the model of the power quality governance device, the access position of the power quality governance device, the access mode of the power quality governance device and the working mode of the power quality governance device.
6. The monitoring data analysis-based power quality early warning system of claim 5, wherein the monitoring terminal is further configured to generate a power quality management task according to the power quality disturbance event recognition result and a power quality management parameter corresponding to the power quality disturbance event recognition result, and complete dispatch of the power quality management task according to a scheduling situation.
7. The power quality early warning system based on monitoring data analysis of claim 6, wherein the monitor terminal completes dispatching of the power quality management task according to the scheduling condition, specifically:
the monitoring terminal generates a power quality management task short message by using a preset short message editing script, the power quality management task short message comprises a power quality disturbance event identification result, a power quality disturbance parameter corresponding to the power quality disturbance event identification result, a power quality management task corresponding to the power quality disturbance event identification result and a power quality management task completion condition input link, a power quality management task completion condition input link is received after a user clicks the power quality management task completion condition input link to enter an input interface provided by the server and corresponding to the power quality management task completion condition input link, the power quality management task completion condition sent by the server is received, and the power quality disturbance event identification result, the power quality management parameter corresponding to the power quality disturbance event identification result and the power quality management parameter corresponding to the power quality management event identification result are stored in a table form And (4) the electric energy quality control task completion condition corresponding to the quality disturbance event identification result.
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Application publication date: 20201120 |