CN113884796A - Automatic line loss studying and judging system - Google Patents
Automatic line loss studying and judging system Download PDFInfo
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- CN113884796A CN113884796A CN202111147882.0A CN202111147882A CN113884796A CN 113884796 A CN113884796 A CN 113884796A CN 202111147882 A CN202111147882 A CN 202111147882A CN 113884796 A CN113884796 A CN 113884796A
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- H—ELECTRICITY
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Abstract
The invention discloses an automatic line loss studying and judging system which comprises a basic platform, a data supporting layer, a cooperative control layer and an application layer, wherein the basic platform comprises a hardware environment under a network environment, and the hardware environment collects power utilization data of a user through a software environment; the data platform collects the data collected by the basic platform in a classified manner; the data supporting layer transmits data in the data platform through different middleware; the cooperative control layer is used for controlling the data transmitted by the data support layer and transmitting the data to the application layer, wherein the cooperative control layer comprises a message queue controlled by concurrency; the application layer analyzes the received information, alarms the abnormal information, positions the abnormal information, displays the treatment means, displays the power utilization information curve and alarms by short messages.
Description
Technical Field
The invention relates to the field of telecommunications, in particular to an automatic line loss studying and judging system.
Background
The line loss rate is a comprehensive technical and economic index reflecting the benefits of power supply enterprises, directly reflects the technology and management level of the enterprises, is an important condition for building 'one-strong three-excellent' modern power supply enterprises, and is a comprehensive reflection of the planning and design level, the production technology level and the operation and management level of a power grid.
The following problems mainly exist in the existing line loss traceability analysis work and need to be solved urgently: the line loss work involves a large amount of data and a large amount of manual investment. And an efficient analysis means is lacked, and the real-time data cannot be analyzed. The electricity stealing means presents the trends of science and technology and specialization, the electricity stealing evidence is more concealed, the difficulty in finding the electricity stealing behavior is higher, and effective analysis means is lacked. For the characteristic users, the power utilization condition curves according to the conditions of months, years, light and vigorous seasons and the like are lacked, and the power utilization rules can not be mastered.
Disclosure of Invention
In order to solve the above problems, the present invention provides an automatic line loss studying and judging system, which specifically comprises:
a base platform comprising a hardware environment in a network environment, the hardware environment collecting user power consumption data through a software environment;
the data platform is used for carrying out classified collection on the data collected by the basic platform;
the data supporting layer transmits data in the data platform through different middleware;
the cooperative control layer is used for controlling the data transmitted by the data support layer and transmitting the data to the application layer, wherein the cooperative control layer comprises a message queue controlled by concurrency;
and the application layer analyzes the received information, alarms the abnormal information, positions the abnormal information, displays treatment means, displays power utilization information curves and alarms by short messages.
Preferably, the data layer includes:
the equipment management system is used for acquiring the information of the power equipment;
the geographic information system is used for collecting the geographic position information of the power utilization;
the marketing business application system is used for collecting user information;
the power utilization information acquisition system is used for acquiring power utilization information;
the synchronous line loss system is used for calculating data information of line loss in a time period;
and each system in the data layer respectively acquires corresponding information from the data platform and transmits the corresponding information out through the adaptive middleware.
Preferably, the middleware comprises data exchange middleware, WebService middleware, RESTful middleware.
Preferably, the abnormal information analysis includes:
performing voltage value and current value cross analysis, wherein if the current value and the voltage value are both positive or negative values, and the current value and the voltage value are both 0, the voltage value is normal, and the other conditions are abnormal;
analyzing the voltage values of the three-phase currents, wherein the amplitudes of the three-phase currents or the three-phase voltages in the power system are not consistent and exceed a specified range, the three-phase currents or the three-phase voltages are abnormal, and the other conditions are normal;
analyzing a voltage limit value, if at least one phase voltage value in the three-phase voltages exceeds a threshold value, determining that the three-phase voltages are abnormal, and determining that the three-phase voltages are normal under other conditions;
the electric energy balance analysis is carried out, the total electric quantity in the area and the total electric quantity of the user electricity consumption are subjected to balance analysis, and if the total electric quantity in the area and the total electric quantity of the user electricity consumption are not balanced, the analysis is abnormal;
comparing and analyzing the line loss of the present day and the line loss of the near day, and comparing whether the data fluctuation of the line loss of the present day and the line loss of the near day exceeds a near day line loss threshold value, if so, determining that the line loss of the present day and the line loss of the near day exceed the near day line loss threshold value, and determining that the line loss of the present day and the line loss of the near day are abnormal;
comparing and analyzing the current line loss and the average line loss, and calculating the data difference value of the current line loss and the average line loss, wherein if the difference value exceeds a threshold value, the result is abnormal.
Preferably, data abnormal information alarm is carried out according to the abnormal information analysis, and the abnormal data is displayed;
positioning abnormal information according to the abnormal information analysis, and inquiring the geographical position of the information according to the abnormal information;
searching user data according to the geographical position of the abnormal information and giving an alarm to the user through a short message;
and analyzing, displaying and displaying a corresponding treatment means according to the abnormal information.
Preferably, the electricity information curve display displays electricity data of each time period in the area in a curve form.
Has the advantages that: the invention is based on company informatization achievement, and carries out analysis and research on the line loss traceability based on big data technology. By means of synchronous acquisition of power sources, automatic generation of synchronous line loss (rate), all-directional service communication and overall index monitoring, line loss management standardization, intellectualization and lean are promoted, and management and promotion are supported. The method comprises the steps of classifying relevant data by combing the reasons and phenomena of metering abnormality caused by correlation to form five analysis dimensions of a negative current value, three-phase imbalance, single-phase voltage overrun, voltage and current and voltage, abstracting the analysis dimensions to form a field metering abnormality analysis model, establishing rapid discrimination field metering abnormality software based on the model, analyzing current, voltage and power factors in a power utilization acquisition system through the software, and finally locating the concrete reasons of field metering problems.
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Fig. 1 is a schematic structural diagram of an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It is noted that the terms first, second, third, etc. are used herein to describe various components or features, but these components or features are not limited by these terms. These terms are only used to distinguish one element or part from another element or part. Terms such as "first," "second," and other numerical terms when used herein do not imply a sequence or order unless clearly indicated by the context. For convenience of description, spatially relative terms such as "inner", "outer", "upper", "lower", "left", "right", "upper", "left", "right", and the like are used herein to describe the orientation relation of the components or parts in the present embodiment, but these spatially relative terms do not limit the orientation of the technical features in practical use.
Referring to fig. 1, an automatic line loss judging system includes:
a base platform comprising a hardware environment in a network environment, the hardware environment collecting user power consumption data through a software environment;
the data platform is used for carrying out classified collection on the data collected by the basic platform;
the data supporting layer transmits data in the data platform through different middleware;
the cooperative control layer is used for controlling the data transmitted by the data support layer and transmitting the data to the application layer, wherein the cooperative control layer comprises a message queue controlled by concurrency;
and the application layer analyzes the received information, alarms the abnormal information, positions the abnormal information, displays treatment means, displays power utilization information curves and alarms by short messages.
The system can obtain data such as three-phase current information, three-phase voltage information, electric quantity information and user file information related to line loss, comprehensively analyzes and processes all the information at the background of the system, and judges whether abnormal power utilization information exists or not. When abnormal electricity utilization information occurs, the system gives an alarm in time, the content of the alarm event is pushed in the background, and managers are informed of being alerted and concerned by various means such as images, sounds, short messages and the like, so that the loss of power supply enterprises is reduced. The system can check the change condition of any user electricity usage in the area as the reference of comprehensive analysis and comparison.
The system can realize the following steps: monitoring abnormal conditions in a multi-stage, multi-azimuth and real-time manner; comprehensive control, intelligent control, effective loss reduction and improvement of power supply quality; and the system actively alarms and pushes the information instantly to ensure that the problems are found and processed in time.
Wherein the data layer comprises: the equipment management system is used for acquiring the information of the power equipment; the geographic information system is used for collecting the geographic position information of the power utilization; the marketing business application system is used for collecting user information; the power utilization information acquisition system is used for acquiring power utilization information; the synchronous line loss system is used for calculating data information of line loss in a time period; and each system in the data layer respectively acquires corresponding information from the data platform and transmits the corresponding information out through the adaptive middleware.
In a preferred embodiment, the middleware includes data exchange middleware, WebService middleware, RESTful middleware. And information is transferred through the middleware.
In a preferred embodiment, the analysis of the abnormal information includes: performing voltage value and current value cross analysis, wherein if the current value and the voltage value are both positive or negative values, and the current value and the voltage value are both 0, the voltage value is normal, and the other conditions are abnormal; analyzing the voltage values of the three-phase currents, wherein the amplitudes of the three-phase currents or the three-phase voltages in the power system are not consistent and exceed a specified range, the three-phase currents or the three-phase voltages are abnormal, and the other conditions are normal; analyzing a voltage limit value, if at least one phase voltage value in the three-phase voltages exceeds a threshold value, determining that the three-phase voltages are abnormal, and determining that the three-phase voltages are normal under other conditions; the electric energy balance analysis is carried out, the total electric quantity in the area and the total electric quantity of the user electricity consumption are subjected to balance analysis, and if the total electric quantity in the area and the total electric quantity of the user electricity consumption are not balanced, the analysis is abnormal; comparing and analyzing the line loss of the present day and the line loss of the near day, and comparing whether the data fluctuation of the line loss of the present day and the line loss of the near day exceeds a near day line loss threshold value, if so, determining that the line loss of the present day and the line loss of the near day exceed the near day line loss threshold value, and determining that the line loss of the present day and the line loss of the near day are abnormal; comparing and analyzing the current line loss and the average line loss, and calculating the data difference value of the current line loss and the average line loss, wherein if the difference value exceeds a threshold value, the result is abnormal.
In a preferred embodiment, data abnormal information alarm is performed according to the abnormal information analysis, and the abnormal data is displayed; positioning abnormal information according to the abnormal information analysis, and inquiring the geographical position of the information according to the abnormal information; searching user data according to the geographical position of the abnormal information and giving an alarm to the user through a short message; and analyzing, displaying and displaying a corresponding treatment means according to the abnormal information.
Preferably, the power utilization information curve display displays the power utilization data in each time period in the area in a curve form.
The analysis of the line loss mainly comprises the following steps:
the line loss analysis can be considered from several directions:
(1) voltage value and current value cross analysis: the voltage value and the current value have a correlation relationship, and the current value and the voltage value should be in the same direction, and if the voltage is a positive value and the current is a negative value, a problem exists. In addition, if the voltage value is zero and the current value is not zero in one line, there is a problem.
(2) Three-phase current value (voltage value) analysis: when a three-phase current value (voltage value) is analyzed, if a three-phase imbalance phenomenon occurs, problems exist, namely that the amplitudes of three-phase currents (or voltages) in a power system are inconsistent, and the amplitude difference exceeds a specified range.
(3) Voltage limit analysis: and analyzing the three-phase voltage values, and if a certain phase voltage value in the three-phase voltage exceeds a threshold value, the problem exists.
(4) Electric energy balance analysis: and comparing and analyzing the total electric quantity in the area with the total electric quantity of the user, and finding out the electric energy deviation in time to keep the metering device in normal operation.
(5) Comparing and analyzing the line loss of the present day and the line loss of the near day: the electric load and the electric quantity of the user have a closer relation, and a plurality of existing problems can be found by comparing the electric load with the line loss rate of the near day.
(6) Comparing and analyzing the present line loss and the average line loss value: the average level of the line loss for a continuous long time can reflect the actual situation of the line loss.
By comparing with this level, it can be found whether the line loss at that time is normal.
The research of the system references the technical experience and the best practice of the Hadoop technology in the Internet and other industries, and improves the adaptability of the line loss analysis service of the power grid. The problems of line loss data updating and repeated calculation, low-voltage user data feedback and the like are not solved in the prior art, and a calculation system is to be optimized and improved. The system further develops make internal disorder or usurp the above problems, and solves the adaptability problem of the Hadoop technology in the data analysis of the power system.
The system carries out line loss traceability analysis, comprehensively analyzes the abnormal situation of the line loss through the collected values in the electricity consumption information collecting system, the line loss system, the marketing service application system, the PMS system, the GIS system and the like, finds out the existing problems and carries out the work of reducing the line loss rate in a targeted manner so as to control the line loss rate.
The above embodiments are not limited to the technical solutions of the embodiments themselves, and the embodiments may be combined with each other into a new embodiment. The above embodiments are only for illustrating the technical solutions of the present invention and are not limited thereto, and any modification or equivalent replacement without departing from the spirit and scope of the present invention should be covered within the technical solutions of the present invention.
Claims (6)
1. An automatic line loss judging system is characterized by comprising:
a base platform comprising a hardware environment in a network environment, the hardware environment collecting user power consumption data through a software environment;
the data platform is used for carrying out classified collection on the data collected by the basic platform;
the data supporting layer transmits data in the data platform through different middleware;
the cooperative control layer is used for controlling the data transmitted by the data support layer and transmitting the data to the application layer, wherein the cooperative control layer comprises a message queue controlled by concurrency;
and the application layer analyzes the received information, alarms the abnormal information, positions the abnormal information, displays treatment means, displays power utilization information curves and alarms by short messages.
2. The automatic line loss judging system of claim 1, wherein the data layer comprises:
the equipment management system is used for acquiring the information of the power equipment;
the geographic information system is used for collecting the geographic position information of the power utilization;
the marketing business application system is used for collecting user information;
the power utilization information acquisition system is used for acquiring power utilization information;
the synchronous line loss system is used for calculating data information of line loss in a time period;
and each system in the data layer respectively acquires corresponding information from the data platform and transmits the corresponding information out through the adaptive middleware.
3. The system of claim 2, wherein the middleware comprises data exchange middleware, WebService middleware, RESTful middleware.
4. The automatic line loss judging system of claim 2, wherein the abnormal information analysis comprises:
performing voltage value and current value cross analysis, wherein if the current value and the voltage value are both positive or negative values, and the current value and the voltage value are both 0, the voltage value is normal, and the other conditions are abnormal;
analyzing the voltage values of the three-phase currents, wherein the amplitudes of the three-phase currents or the three-phase voltages in the power system are not consistent and exceed a specified range, the three-phase currents or the three-phase voltages are abnormal, and the other conditions are normal;
analyzing a voltage limit value, if at least one phase voltage value in the three-phase voltages exceeds a threshold value, determining that the three-phase voltages are abnormal, and determining that the three-phase voltages are normal under other conditions;
the electric energy balance analysis is carried out, the total electric quantity in the area and the total electric quantity of the user electricity consumption are subjected to balance analysis, and if the total electric quantity in the area and the total electric quantity of the user electricity consumption are not balanced, the analysis is abnormal;
comparing and analyzing the line loss of the present day and the line loss of the near day, and comparing whether the data fluctuation of the line loss of the present day and the line loss of the near day exceeds a near day line loss threshold value, if so, determining that the line loss of the present day and the line loss of the near day exceed the near day line loss threshold value, and determining that the line loss of the present day and the line loss of the near day are abnormal;
comparing and analyzing the current line loss and the average line loss, and calculating the data difference value of the current line loss and the average line loss, wherein if the difference value exceeds a threshold value, the result is abnormal.
5. The automatic line loss studying and judging system as claimed in claim 4, wherein data abnormal information alarm is performed according to the abnormal information analysis, and the abnormal data is displayed;
positioning abnormal information according to the abnormal information analysis, and inquiring the geographical position of the information according to the abnormal information;
searching user data according to the geographical position of the abnormal information and giving an alarm to the user through a short message;
and analyzing, displaying and displaying a corresponding treatment means according to the abnormal information.
6. The automatic line loss judging system of claim 5, wherein the power consumption information curve display displays power consumption data of each time period in a region in a curve form.
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- 2021-09-29 CN CN202111147882.0A patent/CN113884796A/en active Pending
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| CN104156810A (en) * | 2014-07-31 | 2014-11-19 | 国网山东省电力公司 | Power dispatching production management system based on cloud computing and realization method of power dispatching production management system |
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| US20160117326A1 (en) * | 2014-10-28 | 2016-04-28 | Oracle International Corporation | Correlating consumption and voltage data to identify line loss in an electric grid |
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