CN114897355A - Transformer area line loss analysis system and method integrating big data - Google Patents
Transformer area line loss analysis system and method integrating big data Download PDFInfo
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- CN114897355A CN114897355A CN202210507651.4A CN202210507651A CN114897355A CN 114897355 A CN114897355 A CN 114897355A CN 202210507651 A CN202210507651 A CN 202210507651A CN 114897355 A CN114897355 A CN 114897355A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a distribution room line loss analysis system and method integrating big data, which comprises a data acquisition unit, a data recording module, a file analysis module and an online monitoring module, and is characterized in that: the data acquisition unit is responsible for acquiring basic data, the data recording module records the basic data and draws a log report, the file analysis module analyzes the data aiming at the log report and gives the line loss rate of a transformer area and a user, and the online monitoring module is used for establishing a model for monitoring, so that the invention has the advantages that: the system can effectively help a distribution room manager to quickly check and accurately position, provides an auxiliary decision for solving abnormal line loss, reduces the waste of human resources and improves the lean management level of the distribution room line loss.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a transformer area line loss analysis system and method integrating big data.
Background
The line loss is an important economic and technical index of a power supply enterprise, the index drives multiple links of power generation, power supply, transformation, use and the like of a power grid, the index reflects the planning design and production operation management level of the power grid, and is also hooked with the economic benefits of the enterprise, and the analysis, calculation and monitoring of the distribution network line loss become links which are improved by the power enterprise urgently under the condition of rapid development of distribution network automation. With the continuous deepening of economic reform of the electric power market, new requirements are continuously provided for fine management of power utilization, energy conservation and loss reduction, innovation, scientification and modernization in management are required, and on-line monitoring and line loss subdivision management are required to be used as necessary technical means for production operation and demand management.
The line loss is an important economic and technical index of a power supply enterprise, the index drives multiple links of power generation, power supply, transformation, use and the like of a power grid, the index reflects the planning design and production operation management level of the power grid, and is also hooked with the economic benefits of the enterprise, and the analysis, calculation and monitoring of the distribution network line loss become links which are improved by the power enterprise urgently under the condition of rapid development of distribution network automation. With the continuous deepening of economic reform of the electric power market, new requirements are continuously provided for fine management of power utilization, energy conservation and loss reduction, innovation, scientification and modernization in management are required, and on-line monitoring and line loss subdivision management are required to be used as necessary technical means for production operation and demand management.
The line loss analysis and management at the present stage have the following defects:
because the number of the transformer areas is large, a large amount of manpower and material resources are consumed for theoretical line loss calculation of all the transformer areas, the difficulty degree of line loss management is increased, and the line loss management of the transformer areas has no pertinence;
the line loss management of the transformer area does not have a more reasonable line loss control target, the line loss abnormity judgment is also a cutting or subjective judgment by experience, and the reasonable analysis is not carried out on the specific transformer area.
Disclosure of Invention
The invention aims to provide a platform area line loss analysis system and method for integrating big data so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a synthesize big data's platform district line loss analytic system, includes data acquisition unit, data record module, archives analysis module, on-line monitoring module, its characterized in that: the data acquisition unit is responsible for gathering the basic data, the data logging module is taken notes and is drawn into the log report form to the basic data, the archives analysis module carries out data analysis to the log report form to give the line loss rate of platform district and user, on-line monitoring module is used for establishing the model and monitors.
As a further scheme of the invention: the basic data comprises a user house name, a user house number, a user address, a station area where the user address is located, station area line loss information, user voltage, power consumption, a zero current value of the user, user current, station area comprehensive line loss and station area daily output electric quantity.
A transformer area line loss analysis method integrating big data comprises the following specific steps:
the method comprises the following steps: selecting a transformer area, and predicting the power consumption of the transformer area, the comprehensive line loss rate of the transformer area and the line loss information of the transformer area by using a file analysis module in combination with basic data;
step two: selecting a platform area, and importing basic data of the platform area into a model established by an online monitoring module for calculation;
step three: and judging whether the problems of meter fast running, meter slow running, electricity stealing of users, channel fleeing areas of users and the like exist according to the model and the prediction information in the step one.
Step four: checking the factors of unqualified line loss rate;
step five: and (4) truing according to specific factors in the fourth step.
As a further scheme of the invention: when the meter flies away, the power consumption changes suddenly and the power consumption obviously does not accord with the power consumption law, the meter is judged to be fast away, and the specific expression is that the power consumption counted by a user is larger than the actual power consumption, and the more the power consumption is counted, the lower the line loss is; when the abnormal phenomena of meter stop and backward running occur, the meter is judged to be slow running, and the specific expression is that the power consumption counted by a user is less than the actual power consumption, and the more the power consumption is counted, the higher the line loss is; when the electricity consumption of the user is not counted under the distribution area, the more the electricity consumption is, the larger the line loss is, and the electricity consumption of the user is matched with the loss electricity quantity of the distribution area, the distribution area is judged to be a distribution area of the user; and when the user has sudden uncapping record, current loss, voltage phase loss, voltage loss, abnormal zero line current, abnormal reverse electric quantity and unbalance of three currents, judging that the user steals electricity.
As a further scheme of the invention: in the fourth step, whether the line loss model is correct or not is detected, particularly the photovoltaic transformer area is detected, the configuration of the photovoltaic calculation direction is ensured, and the consistency with the on-site wiring direction is ensured; the voltage and the current of the electric energy meter fed into the metering point are collected and checked through the data acquisition unit, and whether the metering of the electric energy meter fed into the metering point is correct or not is preliminarily judged.
According to a further scheme of the invention, based on the investigation result in the fourth step, the dimensions of the power consumption, the operation and distribution relation, the abnormal acquisition, the geographic position and the like of the station area users with abnormal line loss are automatically analyzed, the mobile operation terminal is used for carrying out on-site check on the station area with abnormal line loss on the premise of meeting the national network security access requirement, the default electricity stealing behavior is photographed and stored, the evidence is solidified, and the daily monitoring standard reaching rate of the line loss of the station area is improved.
Compared with the prior art, the invention has the beneficial effects that: the system can effectively help a distribution room manager to quickly check and accurately position, provides an auxiliary decision for solving abnormal line loss, reduces the waste of human resources and improves the lean management level of the distribution room line loss.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced 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 according to the drawings without creative efforts.
FIG. 1 illustrates the factors affecting the line loss rate according to the present invention;
fig. 2 is a detailed diagram of the factors affecting the line loss rate according to the present invention.
Detailed Description
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.
Referring to fig. 1-2, in an embodiment of the present invention, a system for analyzing line loss of a distribution room by integrating big data includes a data acquisition unit, a data recording module, a file analysis module, and an online monitoring module, and is characterized in that: the data acquisition unit is responsible for gathering the basic data, the data logging module is taken notes and is drawn into the log report form to the basic data, the archives analysis module carries out data analysis to the log report form to give the line loss rate of platform district and user, on-line monitoring module is used for establishing the model and monitors.
It should be noted that the basic data includes a user name, a user number, a user address, a station area, station area line loss information, a user voltage, a power consumption, a zero current value of a user, a user current, a station area comprehensive line loss, and station area daily output power.
A transformer area line loss analysis method integrating big data comprises the following specific steps:
the method comprises the following steps: selecting a transformer area, and predicting the power consumption of the transformer area, the comprehensive line loss rate of the transformer area and the line loss information of the transformer area by using a file analysis module in combination with basic data;
step two: selecting a platform area, and importing basic data of the platform area into a model established by an online monitoring module for calculation;
step three: and judging whether the problems of meter fast running, meter slow running, electricity stealing of users, channel fleeing areas of users and the like exist according to the model and the prediction information in the step one.
Step four: checking the factors of unqualified line loss rate;
step five: and (4) truing according to specific factors in the fourth step.
It is worth noting that when meter flying away occurs, the power consumption changes suddenly and obviously does not accord with the power consumption law, the meter is judged to be fast-moving, and the specific expression is that the power consumption counted by a user is larger than the actual power consumption, the more the power consumption counted is, the more the power consumption is, and the lower the line loss is; when the abnormal phenomena of meter stop and backward running occur, the meter is judged to be slow running, and the specific expression is that the power consumption counted by a user is less than the actual power consumption, and the more the power consumption is counted, the higher the line loss is; when the electricity consumption of the user is not counted under the distribution area, the more the electricity consumption is, the larger the line loss is, and the electricity consumption of the user is matched with the loss electricity quantity of the distribution area, the distribution area is judged to be a distribution area of the user; and when the user has sudden uncapping record, current loss, voltage phase loss, voltage loss, abnormal zero line current, abnormal reverse electric quantity and unbalance of three currents, judging that the user steals electricity.
It should be noted that, in the fourth step, first, whether the line loss model is correct, especially a photovoltaic platform area, is detected, so as to ensure the configuration of the photovoltaic calculation direction and ensure the direction is consistent with the on-site wiring direction; the voltage and the current of the electric energy meter fed into the metering point are collected and checked through the data acquisition unit, and whether the metering of the electric energy meter fed into the metering point is correct or not is preliminarily judged.
The method is characterized in that on the basis of the investigation result in the fourth step, the dimensions of the power consumption, the operation and distribution relation, the abnormal acquisition, the geographic position and the like of the station area users with abnormal line loss are automatically analyzed, the mobile operation terminal is used for carrying out on-site check on the station area with abnormal line loss on the premise of meeting the national network security access requirement, the default electricity stealing behavior is photographed and stored, the evidence is solidified, and the daily monitoring standard reaching rate of the line loss of the station area is improved.
Example (b):
when line loss treatment is carried out, the system can be used for finishing the detailed query of line loss rate, the qualified days of line loss of the transformer area and the qualified proportion of the whole month are queried, the qualified rate information of line loss of the transformer area can be obtained, and the unqualified problem of the specified month is analyzed; inquiring the line loss qualification details of the continuous N-day platform area and the line loss unqualified details of the continuous N-day platform area, and further mastering the line loss qualification condition of the specified platform area; the historical acquisition condition of the failed ammeter is inquired, the historical acquisition success and failure condition corresponding to the ammeter can be better mastered, in addition, the failure detail is acquired by utilizing the system to inquire the continuous one-month acquisition failure detail, the user detail with the excessively low line loss rate is obtained, and information such as a terminal address, a user number, an ammeter asset number and the like is obtained, so that the electricity stealing behavior of the user is effectively managed.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (6)
1. The utility model provides a platform district line loss analytic system of big data synthesizes, includes data acquisition unit, data record module, archives analysis module, on-line monitoring module, its characterized in that: the data acquisition unit is responsible for gathering the basic data, the data logging module is taken notes and is drawn into the log report form to the basic data, the archives analysis module carries out data analysis to the log report form to give the line loss rate of platform district and user, on-line monitoring module is used for establishing the model and monitors.
2. The area line loss analysis system for the integrated big data according to claim 1, wherein: the basic data comprises a user house name, a user house number, a user address, a station area where the user address is located, station area line loss information, user voltage, power consumption, a zero current value of the user, user current, station area comprehensive line loss and station area daily output electric quantity.
3. A transformer area line loss analysis method integrating big data comprises the following specific steps:
the method comprises the following steps: selecting a transformer area, and predicting the power consumption of the transformer area, the comprehensive line loss rate of the transformer area and the line loss information of the transformer area by using a file analysis module in combination with basic data;
step two: selecting a platform area, and importing basic data of the platform area into a model established by an online monitoring module for calculation;
step three: judging whether the problems of meter fast moving, meter slow moving, electricity stealing of users, channel fleeing areas of users and the like exist according to the model and the prediction information in the step one;
step four: checking the factors that the line loss rate is not qualified;
step five: and (4) truing according to specific factors in the fourth step.
4. The area line loss analysis method for the integrated big data according to claim 3, wherein: when the meter flies away, the power consumption changes suddenly and the power consumption obviously does not accord with the power consumption law, the meter is judged to be fast away, and the specific expression is that the power consumption counted by a user is larger than the actual power consumption, and the more the power consumption is counted, the lower the line loss is; when the abnormal phenomena of meter stop and backward running occur, the meter is judged to be slow running, and the specific expression is that the power consumption counted by a user is less than the actual power consumption, and the more the power consumption is counted, the higher the line loss is; when the electricity consumption of the user is not counted under the distribution area, the more the electricity consumption is, the larger the line loss is, and the electricity consumption of the user is matched with the loss electricity quantity of the distribution area, the distribution area is judged to be a distribution area of the user; and when the user suddenly opens the cover and records, the current loss, the voltage phase failure, the voltage loss, the abnormal zero line current, the abnormal reverse electric quantity and the unbalance of the three currents exist, the user is judged to steal the electricity.
5. The area line loss analysis method for the integrated big data according to claim 3, wherein: in the fourth step, whether the line loss model is correct or not is detected, particularly the photovoltaic transformer area is detected, the configuration of the photovoltaic calculation direction is ensured, and the consistency with the on-site wiring direction is ensured; the voltage and the current of the electric energy meter fed into the metering point are collected and checked through the data acquisition unit, and whether the metering of the electric energy meter fed into the metering point is correct or not is preliminarily judged.
6. The area line loss analysis method for the integrated big data according to claim 3, wherein: based on the investigation result in the fourth step, the dimensions of the line loss abnormal distribution area user such as electric quantity, marketing and distribution relation, abnormal acquisition, geographical position and the like are automatically analyzed, the line loss abnormal distribution area is checked on site by using the mobile operation terminal on the premise of meeting the national network security access requirement, the default electricity stealing behavior is photographed and stored, the evidence is solidified, and the line loss daily monitoring standard reaching rate of the distribution area is improved.
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| CN116596348A (en) * | 2023-07-18 | 2023-08-15 | 山东盛德智能科技股份有限公司 | Platform area line loss analysis method based on minute-level acquisition |
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| CN116596348A (en) * | 2023-07-18 | 2023-08-15 | 山东盛德智能科技股份有限公司 | Platform area line loss analysis method based on minute-level acquisition |
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