Distribution network reactive voltage governance monitoring system
Technical Field
The invention relates to the technical field of electric power, in particular to a reactive voltage treatment monitoring system for a power distribution network.
Background
The reactive voltage refers to the line voltage change caused by the reactance element, the line voltage drop caused by the line inductance is reactive voltage, the voltage drop caused by the transformer leakage inductance is reactive voltage, the reactive voltage is in direct proportion to the line current, and the reactive voltage and the line current have a phase difference of 90 degrees.
However, when the power distribution network reactive voltage management monitoring system on the market is in use, the reactive voltage cannot be monitored in real time, and then data cannot be analyzed and predicted, so that the later prediction of the data is ensured, and the power distribution network reactive voltage management monitoring system cannot be normally used in an off-line state, so that the normal monitoring of the voltage cannot be ensured.
Disclosure of Invention
The invention provides a power distribution network reactive voltage treatment monitoring system, which can effectively solve the problems that the power distribution network reactive voltage treatment monitoring system in the current market cannot monitor reactive voltage in real time and cannot analyze and predict data when in use so as to ensure the later predictability of the data, and cannot normally use the power distribution network reactive voltage in an off-line state so as not to ensure the normal monitoring of the voltage.
In order to achieve the purpose, the invention provides the following technical scheme: a reactive voltage treatment monitoring system for a power distribution network comprises a monitoring module, an analysis and evaluation module, a power generation and load short-term prediction module, a data analysis and self-learning pre-judgment regulation and control module and an off-line module;
the monitoring module, the analysis and evaluation module, the power generation and load short-term prediction module, the data analysis self-learning pre-judgment regulation and control module and the off-line module are all installed in the circuit board;
the monitoring module, the analysis and evaluation module, the power generation and load short-term prediction module, the data analysis and self-learning pre-judgment regulation and control module and the off-line module are connected with each other.
According to the technical scheme, the monitoring module comprises a measuring module, a database server, a preposed acquisition server, a Web server, a gateway server and network equipment;
the measurement module measures the reactive voltage;
the database server is responsible for storing and managing the measurement data;
the preposed acquisition and gateway server realizes the complete acquisition of data of each voltage monitoring device through a network, a special line and a wireless GPRS communication mode, and processes and stores all voltage data and counts the comprehensive qualified rate;
the Web server realizes the functions of application release and voltage check of voltage data of the whole area;
the communication network carries out data acquisition on the transformer substation voltage monitoring device in a wired network mode, and the communication network adopts a GPRS wireless communication mode for the voltage monitoring device which does not meet wired communication conditions.
According to the technical scheme, the analysis and evaluation module is used for sorting the data obtained by the monitoring module, then analyzing the data, reducing errors, then storing the data, making a curve diagram, and performing prejudgment and data evaluation.
According to the technical scheme, the power generation and load short-term prediction module carries out data prediction on data of the monitoring module and the analysis and evaluation module and predicts the data of power generation and load, the power generation and load short-term prediction module arranges numerical values of statistical indexes to the formed sequence according to time sequence, and analogizes or extends according to the development process, direction and trend reflected by the time sequence by compiling and analyzing the time sequence so as to predict the level which can be reached in the next period of time.
According to the technical scheme, the data analysis and self-learning pre-judgment regulation and control module comprises the following steps of:
a1, establishing a prediction model, namely verifying the data source file format by a system and then modeling according to the modeling type selected by a user;
a2, forecasting, wherein the system can forecast the accumulated settlement value at a certain time in the future according to a forecasting model selected and established by a user, and can also forecast the settlement trend at a certain time period in the future by using the model;
a3, overlay analysis, namely overlay analysis can be carried out on model accuracy of different prediction models, and reference is provided for a user to select a proper prediction model;
a4, post-processing, the system requires the function of providing post-processing, and the reliability and precision of the system can be verified by comparing the post-measured data with the data predicted by the system in the past. The system provides a settlement process line processing module which can automatically generate a settlement process line according to a settlement data file input by a user;
and A5, analyzing the report, wherein the system can automatically generate a model precision evaluation report, a prediction report, a model superposition analysis report, a measured prediction file and a superposition analysis report.
According to the technical scheme, the report in the step A5 in the data analysis and self-learning pre-judgment regulation and control module can be displayed in the user interface in time after corresponding processing is executed, automatic storage in the project folder of the user is realized, and the user can conveniently process the report in the future.
According to the technical scheme, the report in the step A5 in the data analysis and self-learning pre-judgment regulation and control module provides a large number of graphic display functions and provides a basis for analysis decision-making for a user in an intuitive mode, wherein the curves comprise a model precision evaluation curve, a model superposition analysis curve, a prediction actual measurement superposition analysis curve and a settlement process line.
According to the technical scheme, the offline module can directly analyze and evaluate the voltage problem of the power distribution network according to the file imported by the adoption system and provide corresponding evaluation results and treatment suggestions.
According to the technical scheme, the offline module can monitor the voltage quality problem of each distribution area of the power distribution network in real time when the offline module is online, analyze the health condition of each distribution area, and support the distribution area with abnormal conditions, the distribution area needing manual operation and equipment needing manual operation to be sent to a transport inspection worker.
Compared with the prior art, the invention has the beneficial effects that: the invention has scientific and reasonable structure and convenient use, and in use, the analysis and evaluation module is used for sorting the data obtained by the monitoring module, then the data is analyzed, the error is reduced, then the data is stored, a curve graph is made, the prejudgment and the data evaluation are carried out, the short-term prediction module of the power generation and load is used for sorting the recent data, so that the prejudgment of the data is ensured, the data is normally analyzed and prejudged by the data analysis and self-learning prejudgment regulation, a large number of graphic display functions are provided by reports, the basis of analysis decision is provided for a user in an intuitive mode, the offline module analyzes and evaluates the voltage problem of the power distribution network and provides corresponding evaluation results and treatment suggestions, and the collocation and the safety of the system are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a schematic diagram of the system architecture of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1, the invention provides a technical scheme, and a power distribution network reactive voltage treatment monitoring system comprises a monitoring module, an analysis and evaluation module, a power generation and load short-term prediction module, a data analysis and self-learning pre-judgment regulation and control module and an off-line module;
the monitoring module, the analysis and evaluation module, the power generation and load short-term prediction module, the data analysis self-learning pre-judgment regulation and control module and the off-line module are all installed in the circuit board;
the monitoring module, the analysis and evaluation module, the power generation and load short-term prediction module, the data analysis and self-learning pre-judgment regulation and control module and the off-line module are connected with each other.
According to the technical scheme, the monitoring module comprises a measuring module, a database server, a front-end acquisition server, a Web server, a gateway server and network equipment;
the measurement module measures the reactive voltage;
the database server is responsible for storing and managing the measurement data;
the preposed acquisition and gateway server realizes the complete acquisition of data of each voltage monitoring device through a network, a special line and a wireless GPRS communication mode, and processes and stores all voltage data and counts the comprehensive qualification rate;
the Web server realizes the functions of application release and voltage check of voltage data of the whole area;
the communication network uses a wired network mode to carry out data acquisition on the transformer substation voltage monitoring device, and adopts a GPRS wireless communication mode for the devices which do not meet wired communication conditions.
According to the technical scheme, the analysis and evaluation module is used for sorting the data obtained by the monitoring module, then analyzing the data, reducing errors, then storing the data, making a curve diagram, and performing prejudgment and data evaluation.
According to the technical scheme, the power generation and load short-term prediction module carries out data prediction on the data of the monitoring module and the analysis and evaluation module and predicts the data of power generation and load, the power generation and load short-term prediction module arranges the numerical values of the statistical indexes into the formed sequence according to the time sequence, and analogizes or extends according to the development process, direction and trend reflected by the time sequence by compiling and analyzing the time sequence so as to predict the level which can be reached in the next period of time.
According to the technical scheme, the data analysis and self-learning pre-judgment regulation and control module comprises the following steps of:
a1, establishing a prediction model, namely verifying the data source file format by a system and then modeling according to the modeling type selected by a user;
a2, forecasting, wherein the system can forecast the accumulated settlement value at a certain time in the future according to a forecasting model selected and established by a user, and can also forecast the settlement trend at a certain time period in the future by using the model;
a3, overlay analysis, namely overlay analysis can be carried out on model accuracy of different prediction models, and reference is provided for a user to select a proper prediction model;
a4, post-processing, the system requires the function of providing post-processing, and the reliability and precision of the system can be verified by comparing the post-measured data with the data predicted by the system in the past. The system provides a settlement process line processing module which can automatically generate a settlement process line according to a settlement data file input by a user;
and A5, analyzing the report, wherein the system can automatically generate a model precision evaluation report, a prediction report, a model superposition analysis report, a measured prediction file and a superposition analysis report.
According to the technical scheme, the report in the step A5 in the data analysis and self-learning pre-judgment regulation and control module can be displayed in the user interface in time after corresponding processing is executed, automatic storage in the project folder of the user is realized, and the user can conveniently process the report in the future.
According to the technical scheme, the report in the step A5 in the data analysis and self-learning pre-judgment regulation and control module provides a large number of graphic display functions and provides a basis for analysis decision-making for a user in an intuitive mode, wherein the curves comprise a model precision evaluation curve, a model superposition analysis curve, a prediction actual measurement superposition analysis curve and a settlement process line.
According to the technical scheme, the off-line module can directly analyze and evaluate the voltage problem of the power distribution network according to the file imported by the adoption system and provide corresponding evaluation results and treatment suggestions.
According to the technical scheme, the offline module can monitor the voltage quality problem of each distribution area of the power distribution network in real time when the offline module is online, analyze the health condition of each distribution area, and support the distribution area in abnormal conditions and the distribution area and equipment which need manual operation to be sent to the operation and inspection personnel.
Compared with the prior art, the invention has the beneficial effects that: the invention has scientific and reasonable structure and convenient use, and in use, the analysis and evaluation module is used for sorting the data obtained by the monitoring module, then the data is analyzed, the error is reduced, then the data is stored, a curve graph is made, the prejudgment and the data evaluation are carried out, the short-term prediction module of the power generation and load is used for sorting the recent data, so that the prejudgment of the data is ensured, the data is normally analyzed and prejudged by the data analysis and self-learning prejudgment regulation, a large number of graphic display functions are provided by reports, the basis of analysis decision is provided for a user in an intuitive mode, the offline module analyzes and evaluates the voltage problem of the power distribution network and provides corresponding evaluation results and treatment suggestions, and the collocation and the safety of the system are improved.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.