CN115759761A - Intelligent operation data management system for electric energy metering device - Google Patents
Intelligent operation data management system for electric energy metering device Download PDFInfo
- Publication number
- CN115759761A CN115759761A CN202310015110.4A CN202310015110A CN115759761A CN 115759761 A CN115759761 A CN 115759761A CN 202310015110 A CN202310015110 A CN 202310015110A CN 115759761 A CN115759761 A CN 115759761A
- Authority
- CN
- China
- Prior art keywords
- electric energy
- metering device
- energy metering
- index
- target electric
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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
Landscapes
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to the technical field of power equipment management, and discloses an intelligent operating data management system for an electric energy metering device, which comprises a configuration information acquisition module, a monitoring terminal setting module, an auxiliary configuration equipment operation and maintenance record extraction module, a configuration metering level evaluation module, a metering environment influence parameter monitoring module, a normal operating data analysis module, a management information base, an abnormal operation judgment module, a risk operating index abnormal trend identification module and a configuration equipment transformation requirement judgment module.
Description
Technical Field
The invention relates to the technical field of power equipment management, in particular to an intelligent operation data management system for an electric energy metering device.
Background
The electric energy metering device is a general name of an electric energy metering appliance and auxiliary equipment thereof for measuring and recording electric quantity, and is used as energy settlement equipment in an electric power system, and the accuracy of the electric energy metering device is related to the overall benefits of power supply enterprises and power utilization users.
However, the electric energy metering device is affected by the operating state in practical application under an inaccurate condition, and in order to find out the metering accuracy defect of the electric energy metering device in time, the operating state of the electric energy metering device needs to be evaluated in real time, and the operating data of the electric energy metering device can exactly and objectively reflect the operating state, so that the evaluation of the operating state of the electric energy metering device at present is mostly converted into the processing and analysis of the operating data. Just as the chinese patent publication No. CN103149549a discloses a data processing method and system based on an electric energy metering device, multiple items of operation data of the electric energy metering device are obtained at preset verification moments, and are compared with corresponding standard operation data, and an operation state of the electric energy metering device for a single item of operation data at each preset verification moment is output. The invention has the following defects in practical application: 1. when the running state of each item of running data of the electric energy metering device is analyzed, the obtained running data is directly compared with the standard running data, the standard running data is not processed, the actual electric energy metering device is influenced by the service life and the external environment in the metering process, so that the metering level often does not reach the standard state, and at the moment, if the standard running data is directly used for comparison, the operation state evaluation error is obviously unreasonable, the running abnormality of the electric energy metering device cannot be found in time, and the running state evaluation requirement of the electric energy metering device cannot be met.
2. The method stops analyzing when the running state of certain running data of the electric energy metering device is analyzed to be abnormal, quantitative depth analysis of the abnormal running state, such as abnormal trend recognition, is lacked, and for electric power workers, the current analysis result can only sensitively transmit the abnormal running data of the electric energy metering device, and cannot provide scientific basis for the electric power workers to pertinently process the abnormal running data, so that the practical value of the analysis result is not high.
Disclosure of Invention
In order to solve the technical problems, the invention is realized by the following technical scheme: an intelligent management system for operating data of an electric energy metering device, comprising: and the configuration information acquisition module is used for acquiring the configuration information of the target electric energy metering device.
And the monitoring terminal setting module is used for setting a monitoring terminal on the specified power supply line.
And the auxiliary configuration equipment operation and maintenance record extraction module is used for extracting the current operation and maintenance record corresponding to each auxiliary configuration equipment from the configuration equipment operation and maintenance record corresponding to the target electric energy metering device.
And the configuration metering level evaluation module is used for extracting the operation and maintenance values of the technical parameters from the current operation and maintenance records corresponding to the auxiliary configuration equipment, and evaluating the configuration metering level reaching scale corresponding to the target electric energy metering device according to the operation and maintenance values.
And the metering environment influence parameter monitoring module is used for monitoring the metering environment influence parameters of the specified power supply line by the monitoring terminal according to the divided verification moments.
And the normal operation data analysis module is used for analyzing normal values of various operation indexes corresponding to the target electric energy metering device at each verification time based on the configuration metering level scale corresponding to the target electric energy metering device and the metering environment influence parameters of the specified power supply line at each verification time.
And the management information base is used for storing the appropriate atmospheric environment parameters of the target electric energy metering device in the normal operation state, storing the normal values of all the operation indexes of the target electric energy metering device under all the comprehensive metering level standard-reaching levels, and storing the allowed abnormal indexes corresponding to all the operation indexes in the target electric energy metering device.
And the operation abnormity judgment module is used for acquiring detection values of the target electric energy metering device corresponding to various operation indexes at each verification moment, so as to judge whether the target electric energy metering device has operation abnormity, and further identify the risk operation indexes when the operation abnormity is judged.
And the risk operation index abnormal trend identification module is used for identifying the abnormal trend corresponding to the risk operation index.
Preferably, the configuration information includes standard input electricity metering parameters corresponding to the core configuration device and rated values of each technical parameter corresponding to each auxiliary configuration device, where the core configuration device is an electric energy meter, and the auxiliary configuration devices include a voltage transformer and a current transformer.
Preferably, the standard input electricity metering parameters comprise a standard input voltage and a standard input current.
Preferably, the monitoring terminal comprises a power quality monitor and an environment monitoring device.
Preferably, the configuration measurement level standard reaching degree corresponding to the evaluation target electric energy metering device specifically includes the following steps: comparing the operation and maintenance values of the technical parameters corresponding to the voltage transformer with the rated values, and calculating the current voltage conversion capability index corresponding to the voltage sensor
The calculation formula is
Wherein
、
Respectively representing a rated value and an operation and maintenance value of the voltage transformer corresponding to the ith technical parameter, i representing a technical parameter number corresponding to the voltage transformer,
n represents the number of technical parameters possessed by the voltage transformer,
expressed as a conversion capability weight factor corresponding to the ith technical parameter in the voltage transformer, and
and e is expressed as a natural constant.
Extracting standard input voltage from standard input electricity metering parameters corresponding to core configuration equipment, and passing the standard input voltage and a current voltage conversion capability index corresponding to a voltage sensor through a prediction formula
Predicting the input voltage of the core configuration equipment under the influence of the conversion of the voltage sensor
In which
Indicated as the standard input voltage.
Comparing the operation and maintenance values of the technical parameters corresponding to the current transformer with the rated values, and calculating the current conversion capability index corresponding to the current sensor
The calculation formula is
Wherein
、
Respectively representing a rated value and an operation and maintenance value of the jth technical parameter corresponding to the current transformer, j representing a technical parameter number corresponding to the voltage transformer,
m represents the number of technical parameters possessed by the current transformer,
expressed as a conversion capability weight factor corresponding to the jth technical parameter in the current transformer, and
。
extracting standard input current from standard input electricity metering parameters corresponding to core configuration equipment, and introducing the current conversion capacity index corresponding to the current sensor into a prediction formula
Predicting the input current of the core configuration equipment under the influence of current sensor conversion
In which
Expressed as the standard input current.
Using an evaluation formula
Counting to obtain the corresponding configuration metering level scale of the target electric energy metering device
A, B is expressed as a set input voltage and input current pair, respectivelyThe corresponding compensation factor.
Preferably, the metering environment influence parameters comprise electric energy quality parameters and atmospheric environment parameters, wherein the electric energy quality parameters comprise voltage deviation, frequency deviation, three-phase voltage unbalance degrees and harmonic voltage, and the atmospheric environment parameters comprise temperature and air relative humidity.
Preferably, the analyzing target electric energy metering device specifically includes the following steps corresponding to the normal value of each operation index at each verification time: and acquiring the power grid capacity corresponding to the specified power supply circuit, and further matching the adaptive electric energy quality parameter corresponding to the specified power supply circuit.
Extracting power quality parameters from the metering environment influence parameters of the specified power supply line at each verification time, comparing the power quality parameters with the adaptive power quality parameters corresponding to the specified power supply line, and calculating the power quality adaptation degree of the specified power supply line at each verification time
The calculation formula is
Wherein
、
、
、
Respectively expressed as voltage deviation, frequency deviation, three-phase voltage unbalance and harmonic voltage at the tth verification time, t is the number of the verification time,
and z is expressed as the number of assay occasions,
、
、
、
respectively expressed as the adaptive voltage deviation, adaptive frequency deviation, adaptive three-phase voltage unbalance degree and adaptive harmonic voltage corresponding to the specified power supply line.
Extracting atmospheric environment parameters from the metering environment influence parameters of the specified power supply line at each verification time, comparing the atmospheric environment parameters with the suitable atmospheric environment parameters of the target electric energy metering device in the management information base in the normal operation state, and calculating the atmospheric environment suitability of the target electric energy metering device at each verification time
The calculation formula is
Wherein
、
Respectively representing the temperature and the relative humidity of the designated power supply line at the tth verification time,
、
respectively expressed as the proper temperature and the proper air relative humidity of the target electric energy metering device in the normal operation state, W is expressed as a set constant, and W is expressed as>1。
Will be provided with
、
And
substitution formula
Evaluating to obtain the comprehensive measurement level scale of the target electric energy metering device at the tth verification time
。
Will be provided with
And comparing the standard reaching range with the set comprehensive measurement level reaching range corresponding to each standard reaching level, screening out the comprehensive measurement level standard reaching level of the target electric energy metering device at the tth verification time, and further matching from the management information base to obtain the normal value of each operation index corresponding to each verification time of the target electric energy metering device.
Preferably, the determining whether the target electric energy metering device is abnormal in operation, and then identifying the operation process corresponding to the risk operation index when the target electric energy metering device is abnormal in operation is as follows: comparing the detection value of the target electric energy metering device corresponding to each operation index at each verification time with the normal value of the target electric energy metering device corresponding to the operation index at the verification time, calculating the abnormal index of the target electric energy metering device corresponding to each operation index at each verification time, comparing the abnormal index with the allowable abnormal index corresponding to each operation index in the target electric energy metering device stored in the management information base, if the abnormal index of a certain operation index at a certain verification time is larger than the allowable abnormal index corresponding to the operation index, judging that the target electric energy metering device has abnormal operation, marking the verification index as a risk operation index, marking the verification time as a risk time, otherwise, judging that the target electric energy metering device has no abnormal operation.
Preferably, the specific identification process corresponding to the abnormal trend corresponding to the identified risk operation index includes the following steps: and recording the occurrence frequency of the risk operation indexes, and the risk verification time and the operation abnormity index corresponding to each occurrence.
And arranging the operation abnormal indexes corresponding to the occurrence of the risk operation indexes each time according to the sequence of the risk verification moments to obtain operation abnormal index arrangement results corresponding to the risk operation indexes, and obtaining operation abnormal index comparison difference values corresponding to each adjacent risk verification moment from the operation abnormal index arrangement results.
Respectively extracting symbols of the comparison difference value of the running abnormal indexes corresponding to each adjacent risk verification time, further counting the occurrence proportion of which the symbol is positive and the occurrence proportion of which the symbol is negative, respectively recording the occurrence proportions as D1 and D2, and substituting the two into a formula
Calculating the operation abnormal index contrast action index corresponding to the risk operation index
。
Will be provided with
Comparing with a preset threshold value if
If the occurrence proportion of the sign is positive is larger than the occurrence proportion of the sign is negative, the abnormal trend corresponding to the risk operation index is identified as an ascending trend, and if the occurrence proportion of the sign is positive is smaller than the occurrence proportion of the sign is negative, the abnormal trend corresponding to the risk operation index is identified as a descending trend.
Preferably, the system further comprises a configuration equipment modification requirement judgment module, which is used for extracting the maximum normal value of each operating index corresponding to the target electric energy metering device from the normal values of each operating index corresponding to the target electric energy metering device at each verification moment, and comparing the maximum normal value with the standard values of each operating index, so as to judge whether the target electric energy metering device has a configuration equipment modification requirement.
Compared with the prior art, the invention has the following advantages: 1. the invention comprehensively considers the influence of the current configuration state of the electric energy metering device and external environmental factors on the metering level of the electric energy metering device, analyzes the normal operation data of the electric energy metering device at each verification moment, and then compares the normal operation data with each operation data, realizes the reasonable evaluation of each operation data operation state of the electric energy metering device, effectively reduces the evaluation error rate of the operation state, improves the discovery timeliness rate of the abnormal operation of the electric energy metering device to a certain extent, and is beneficial to meeting the operation state evaluation requirement of the electric energy metering device.
2. The external environmental factors considered in the invention include atmospheric environmental factors and electric energy quality factors of a specified power supply circuit, the consideration range of the external environmental factors is greatly expanded, the external environmental factors are considered more comprehensively, the condition that the running state of the electric energy metering device is not accurately evaluated due to single consideration of the external environmental factors is avoided to the maximum extent, and the accurate evaluation of the running state of the electric energy metering device is strengthened.
3. According to the method, when the abnormal operation state of certain operation data of the electric energy metering device is analyzed, the abnormal trend analysis of the corresponding operation data is continuously added, the quantitative depth analysis of the abnormal operation state of the electric energy metering device is realized, scientific basis can be provided for the power worker to pertinently process the abnormal operation data, and the practical value of the analysis result is highlighted.
4. In practical application, the invention is additionally provided with a configuration equipment transformation demand judging module, and normal operation data corresponding to the electric energy metering device obtained by analysis is compared with standard operation data to judge whether the transformation demand exists on the configuration equipment of the electric energy metering device, so that on one hand, the enrichment of the use function of the normal operation data of the electric energy metering device is realized, the utilization value of the normal operation data can be maximized, and on the other hand, a reliable suggestion on configuration transformation can be provided for ensuring the subsequent normal operation of the electric energy metering device.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the system connection of 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, an intelligent operation data management system for an electric energy metering device includes a configuration information acquisition module, a monitoring terminal setting module, an auxiliary configuration device operation and maintenance record extraction module, a configuration metering level evaluation module, a metering environment influence parameter monitoring module, a normal operation data analysis module, a management information base, an abnormal operation judgment module, an abnormal risk operation index trend identification module and a configuration device transformation requirement judgment module, wherein the configuration information acquisition module is connected with the auxiliary configuration device operation and maintenance record extraction module, the auxiliary configuration device operation and maintenance record extraction module is connected with the configuration metering level evaluation module, the monitoring terminal setting module is connected with the metering environment influence parameter monitoring module, the configuration metering level evaluation module and the metering environment influence parameter monitoring module are both connected with the normal operation data analysis module, the normal operation data analysis module is respectively connected with the abnormal operation judgment module and the configuration device transformation requirement judgment module, the abnormal operation judgment module is connected with the abnormal risk operation index trend identification module, and the management information base is respectively connected with the normal operation data analysis module and the abnormal operation judgment module.
The configuration information acquisition module is used for acquiring configuration information of the target electric energy metering device, wherein the configuration information comprises standard input electricity metering parameters corresponding to core configuration equipment and rated values of technical parameters corresponding to auxiliary configuration equipment, the core configuration equipment is an electric energy meter, and the auxiliary configuration equipment comprises a voltage transformer and a current transformer.
In a specific embodiment of the present invention, the standard input electrical parameters include a standard input voltage and a standard input current.
It should be noted that the voltage transformer and the current transformer are used in the electric energy metering device to expand the range of the electric energy meter, the voltage transformer converts high voltage into low voltage, and the current transformer converts large current into small current and then connects to the electric energy meter, so that the measuring range of the electric energy meter is expanded, and therefore the conversion capability of the voltage transformer and the current transformer to voltage and current directly determines the configuration metering level of the electric energy metering device.
The monitoring terminal setting module is used for recording the power supply line measured by the target electric energy metering device as an appointed power supply line, and further setting a monitoring terminal on the appointed power supply line, the monitoring terminal comprises an electric energy quality monitor and an environment monitoring device, wherein the electric energy quality monitor is used for monitoring the electric energy quality parameters of the appointed power supply line, and the environment monitoring device consists of a temperature sensor and a hygrometer and is used for monitoring the atmospheric environment parameters of the appointed power supply line.
It should be reminded that the purpose of the above-mentioned monitoring terminal is to consider that when the electric energy metering device is used for metering electric quantity, not only the configuration state of the monitoring terminal itself will affect the metering level, but also the external environment will affect the metering level, so that it is necessary to monitor the external environment factors affecting the metering level.
And the auxiliary configuration equipment operation and maintenance record extraction module is used for extracting the current operation and maintenance record corresponding to each auxiliary configuration equipment from the configuration equipment operation and maintenance record corresponding to the target electric energy metering device.
It should be noted that, the aforementioned current operation and maintenance record refers to a latest operation and maintenance record, and since the configuration level of the electric energy metering device is affected by the service life during the use process, there is a state that the configuration level is decreased, so that the current operation state of the auxiliary configuration device is known when the current configuration level of the electric energy metering device is acquired, the operation and maintenance record can reflect the current operation state of the auxiliary configuration device corresponding to the target electric energy metering device, and the operation and maintenance record closer to the current operation and maintenance record can objectively and truly reflect the current operation state of the auxiliary configuration device corresponding to the target electric energy metering device.
The configuration metering level evaluation module is used for extracting the operation and maintenance value of each technical parameter from the current operation and maintenance record corresponding to each auxiliary configuration device, and accordingly evaluating the configuration metering level reaching scale corresponding to the target electric energy metering device, and specifically comprises the following steps: and extracting rated values of each technical parameter corresponding to each auxiliary configuration device from the configuration information.
Comparing the operation and maintenance values of the technical parameters corresponding to the voltage transformer with the rated values, and calculating the current voltage conversion capability index corresponding to the voltage sensor
The calculation formula is
Wherein
、
Respectively expressed as a rated value and an operation and maintenance value of the ith technical parameter corresponding to the voltage transformer, i is expressed as a technical parameter number corresponding to the voltage transformer,
n denotes voltage transformer possessionThe number of the technical parameters of (2),
expressed as a conversion capability weight factor corresponding to the ith technical parameter in the voltage transformer, and
and e is expressed as a natural constant.
The closer the rated values of the voltage transformers corresponding to the technical parameters are to the operation and maintenance values, the larger the current voltage conversion capability index corresponding to the voltage sensor is,
。
illustratively, the technical parameters corresponding to the voltage transformer include, but are not limited to, a highest input voltage, a power consumption of the whole transformer, an isolation withstand voltage value, an insulation resistance, and an overload voltage.
Extracting standard input voltage from standard input electricity metering parameters corresponding to core configuration equipment, and passing the standard input voltage and a current voltage conversion capability index corresponding to a voltage sensor through a prediction formula
Predicting the input voltage of the core configuration equipment under the influence of the conversion of the voltage sensor
Wherein
Represented as the standard input voltage.
It can be understood that the larger the current voltage conversion capability index corresponding to the voltage sensor, the closer the input voltage of the core configuration device under the conversion influence of the voltage sensor is to the standard input voltage.
Comparing the operation and maintenance values of the technical parameters corresponding to the current transformer with the rated values, and calculating the current conversion capability index corresponding to the current sensor
The calculation formula is
Wherein
、
Respectively representing a rated value and an operation and maintenance value of the jth technical parameter corresponding to the current transformer, j representing a technical parameter number corresponding to the voltage transformer,
m represents the number of technical parameters possessed by the current transformer,
expressed as a conversion capability weight factor corresponding to the jth technical parameter in the current transformer, and
。
the closer the rated value of each technical parameter corresponding to the current transformer is to the operation and maintenance value, the larger the current transformation capability index corresponding to the current sensor is,
。
illustratively, the ideal technical indexes corresponding to the current transformer include but are not limited to offset current, linearity and overload current.
Extracting standard input current from standard input electricity metering parameters corresponding to core configuration equipment, and introducing the current conversion capacity index corresponding to the current sensor into a prediction formula
Predicting the core configuration device atInput current under the influence of current sensor conversion
Wherein
Expressed as the standard input current.
It can be understood that the larger the current conversion capability index corresponding to the current sensor, the closer the input current of the core configuration device under the conversion influence of the current sensor is to the standard input current.
Using an evaluation formula
Counting to obtain the corresponding configuration metering level scale of the target electric energy metering device
A, B represents compensation factors corresponding to the input voltage and the input current, respectively.
The metering environment influence parameter monitoring module is used for monitoring metering environment influence parameters of an appointed power supply line by a monitoring terminal according to divided verification moments, the metering environment influence parameters comprise electric energy quality parameters and atmospheric environment parameters, the electric energy quality parameters comprise voltage deviation, frequency deviation, three-phase voltage unbalance and harmonic voltage, and the atmospheric environment parameters comprise temperature and air relative humidity.
The external environmental factors considered in the invention include atmospheric environmental factors and electric energy quality factors of a specified power supply circuit, the consideration range of the external environmental factors is greatly expanded, the external environmental factors are considered more comprehensively, the condition that the running state of the electric energy metering device is not accurately evaluated due to single consideration of the external environmental factors is avoided to the maximum extent, and the accurate evaluation of the running state of the electric energy metering device is strengthened.
The normal operation data analysis module is used for analyzing normal values of various operation indexes of the target electric energy metering device corresponding to each verification moment based on a configuration metering level scale corresponding to the target electric energy metering device and a metering environment influence parameter of a specified power supply line at each verification moment, and specifically comprises the following steps: and acquiring the power grid capacity corresponding to the specified power supply circuit, and further matching the adaptive power quality parameters corresponding to the specified power supply circuit.
The specific matching process for matching the adaptive power quality parameters corresponding to the specified power supply circuit is to match the power grid capacity corresponding to the specified power supply circuit with the adaptive power quality parameters corresponding to the set various power grid capacities, and match the adaptive power quality parameters corresponding to the specified power supply circuit.
Extracting power quality parameters from the metering environment influence parameters of the specified power supply circuit at each verification time, comparing the power quality parameters with adaptive power quality parameters corresponding to the specified power supply circuit, and calculating the power quality adaptation degree of the specified power supply circuit at each verification time
The calculation formula is
Wherein
、
、
、
Respectively expressed as voltage deviation, frequency deviation, three-phase voltage unbalance and harmonic voltage at the tth verification time, t is the number of the verification time,
and z is expressed as the number of assay occasions,
、
、
、
respectively expressed as the adaptive voltage deviation, adaptive frequency deviation, adaptive three-phase voltage unbalance degree and adaptive harmonic voltage corresponding to the specified power supply line.
Extracting atmospheric environment parameters from the metering environment influence parameters of the specified power supply line at each verification time, comparing the atmospheric environment parameters with the suitable atmospheric environment parameters of the target electric energy metering device in the management information base in the normal operation state, and calculating the atmospheric environment suitability of the target electric energy metering device at each verification time
The calculation formula is
Wherein
、
Respectively representing the temperature and the air relative humidity of the designated power supply line at the tth verification time,
、
respectively expressed as the proper temperature and the proper air relative humidity of the target electric energy metering device in the normal operation state, W is expressed as a set constant, and W is expressed as>1。
Will be provided with
、
And
substitution formula
Evaluating to obtain the comprehensive measurement level scale of the target electric energy metering device at the tth verification time
The larger the configuration metering level scale corresponding to the target electric energy metering device is, the larger the electric energy quality adaptation degree corresponding to the specified power supply line is, the larger the atmospheric environment suitability degree is, and the larger the comprehensive metering level scale corresponding to the target electric energy metering device is.
And comparing the comprehensive measurement level reaching scale of the target electric energy metering device at the verification time t with the set comprehensive measurement level reaching scale intervals corresponding to various standard reaching levels, screening the standard reaching level of the comprehensive measurement level of the target electric energy metering device at the verification time t, and matching from the management information base to obtain the normal value of each operation index corresponding to the target electric energy metering device at each verification time.
The invention comprehensively considers the influence of the current configuration state of the electric energy metering device and external environment factors on the metering level of the electric energy metering device, so as to analyze the normal operation data of the electric energy metering device at each verification moment, further compare the normal operation data with each item of operation data, realize the reasonable evaluation of each item of operation data operation state of the electric energy metering device, effectively reduce the evaluation error rate of the operation state, improve the discovery timeliness rate of abnormal operation of the electric energy metering device to a certain extent, and be favorable for meeting the evaluation requirement of the operation state of the electric energy metering device.
The management information base is used for storing suitable atmospheric environment parameters of the target electric energy metering device in a normal operation state, storing normal values of all operation indexes of the target electric energy metering device under all comprehensive metering level standard-reaching levels, and storing allowable abnormal indexes corresponding to all the operation indexes in the target electric energy metering device.
The operation abnormity judging module is used for acquiring detection values of various operation indexes corresponding to the target electric energy metering device at various verification moments, so as to judge whether the target electric energy metering device is abnormal in operation or not, and further identify the risk operation indexes when the target electric energy metering device is abnormal in operation.
Illustratively, each operation index corresponding to the target electric energy metering device specifically includes an electric energy meter error value, a starting current, a voltage transformer secondary load value, a voltage transformer secondary voltage drop value, a current transformer secondary load value, and the like.
In a preferred embodiment of the present invention, it is determined whether the target electric energy metering device is abnormal in operation, and when it is determined that the target electric energy metering device is abnormal in operation, an operation process corresponding to the risk operation index is identified as follows: comparing the detection value of the target electric energy metering device corresponding to each operation index at each verification moment with the normal value of the corresponding operation index at the verification moment, calculating the abnormal index of the target electric energy metering device corresponding to each operation index at each verification moment, and recording the abnormal index as
，
Wherein k is represented as an operation index number,
x is the number of the operation indexes existing in the target electric energy metering device,
expressed as the detection value of the target electric energy metering device corresponding to the kth operation index at the tth verification time,
and the normal value is expressed as a k-th operation index corresponding to the target electric energy metering device at the t-th verification moment, wherein the larger the difference between the detection value and the normal value is, the larger the abnormal index is.
Will be provided with
And comparing the abnormal indexes corresponding to all the operation indexes in the target electric energy metering device stored in the management information base, if the abnormal index of a certain operation index at a certain verification moment is larger than the abnormal index corresponding to the operation index, judging that the target electric energy metering device has abnormal operation, marking the operation index as a risk operation index, marking the verification moment as a risk verification moment, and otherwise, judging that the target electric energy metering device does not have abnormal operation.
The risk operation index abnormal trend identification module is used for identifying an abnormal trend corresponding to a risk operation index, and the specific identification process comprises the following steps: and recording the occurrence frequency of the risk operation indexes, and the risk verification time and the operation abnormity index corresponding to each occurrence.
And arranging the operation abnormal indexes corresponding to the occurrence of the risk operation indexes each time according to the sequence of the risk verification moments to obtain operation abnormal index arrangement results corresponding to the risk operation indexes, and obtaining operation abnormal index comparison difference values corresponding to each adjacent risk verification moment from the operation abnormal index arrangement results.
Specifically, the obtaining of the comparison difference of the operation abnormality indexes corresponding to each adjacent risk verification time is subtracting the operation abnormality index corresponding to the next risk verification time from the operation abnormality index corresponding to the previous risk verification time in the adjacent risk verification times.
Respectively extracting the signs of the comparison difference values of the running abnormal indexes corresponding to the adjacent risk verification moments, counting the occurrence percentage with positive signs and the occurrence percentage with negative signs, respectively recording the occurrence percentages as D1 and D2, and substituting the occurrence percentages into a formula
Calculating the operation abnormal index contrast action index corresponding to the risk operation index
。
Will be provided with
Comparing with a preset threshold value if
If the occurrence proportion of the sign is positive is larger than the occurrence proportion of the sign is negative, the abnormal trend corresponding to the risk operation index is identified as an ascending trend, and if the occurrence proportion of the sign is positive is smaller than the occurrence proportion of the sign is negative, the abnormal trend corresponding to the risk operation index is identified as a descending trend.
According to the method, when the abnormal operation state of certain operation data of the electric energy metering device is analyzed, the abnormal trend analysis of the corresponding operation data is continuously added, the quantitative depth analysis of the abnormal operation state of the electric energy metering device is realized, scientific basis can be provided for the power worker to pertinently process the abnormal operation data, and the practical value of the analysis result is highlighted.
The configuration equipment reconstruction requirement judging module is used for extracting the maximum normal value of each operation index corresponding to the target electric energy metering device from the normal values of each operation index corresponding to the target electric energy metering device at each verification moment, wherein the maximum normal value comprises the maximum normal value and the minimum normal value, and comparing the maximum normal value with the standard values of each operation index to obtain two deviation differences corresponding to each operation index, at the moment, an absolute value is obtained for the two deviation differences, the deviation difference with the maximum absolute value is taken as the standard deviation difference corresponding to each operation index, and then the standard deviation difference is compared with the set warning standard deviation difference, if the standard deviation difference corresponding to a certain operation index is larger than the warning standard deviation difference, the configuration equipment reconstruction requirement of the target electric energy metering device is judged, and otherwise, the configuration equipment reconstruction requirement of the target electric energy metering device is judged not to exist.
In the invention, when the situation that the deviation between the normal value and the standard value of each operation index corresponding to the target electric energy metering device is too large is analyzed, the difference between the current metering level and the standard metering level of the target electric energy metering device is larger, and the influence of the external environment on the metering level cannot be effectively interfered, so that the target electric energy metering device is maintained at a better metering level only by modifying and replacing auxiliary configuration equipment.
In practical application, the invention is additionally provided with a configuration equipment transformation demand judging module, and normal operation data corresponding to the electric energy metering device obtained by analysis is compared with standard operation data to judge whether the transformation demand exists on the configuration equipment of the electric energy metering device, so that on one hand, the enrichment of the use function of the normal operation data of the electric energy metering device is realized, the utilization value of the normal operation data can be maximized, and on the other hand, a reliable suggestion on configuration transformation can be provided for ensuring the subsequent normal operation of the electric energy metering device.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (10)
1. An intelligent management system for operating data of an electric energy metering device, comprising:
the configuration information acquisition module is used for acquiring configuration information of the target electric energy metering device;
the monitoring terminal setting module is used for setting a monitoring terminal on a specified power supply line;
the auxiliary configuration equipment operation and maintenance record extraction module is used for extracting the current operation and maintenance record corresponding to each auxiliary configuration equipment from the configuration equipment operation and maintenance record corresponding to the target electric energy metering device;
the configuration metering level evaluation module is used for extracting the operation and maintenance value of each technical parameter from the current operation and maintenance record corresponding to each auxiliary configuration device, and evaluating the configuration metering level reaching scale corresponding to the target electric energy metering device according to the operation and maintenance value;
the metering environment influence parameter monitoring module is used for monitoring the metering environment influence parameters of the specified power supply line by the monitoring terminal according to the divided verification time;
the normal operation data analysis module is used for analyzing normal values of various operation indexes of the target electric energy metering device corresponding to each verification moment based on the configuration metering level reaching scale corresponding to the target electric energy metering device and the metering environment influence parameters of the specified power supply line at each verification moment;
the management information base is used for storing proper atmospheric environment parameters of the target electric energy metering device in a normal operation state, storing normal values of all operation indexes of the target electric energy metering device under all comprehensive metering level standard-reaching levels, and storing allowable abnormal indexes corresponding to all the operation indexes in the target electric energy metering device;
the operation abnormity judgment module is used for acquiring detection values of the target electric energy metering device corresponding to various operation indexes at each verification moment, judging whether the target electric energy metering device has operation abnormity or not, and identifying risk operation indexes when the target electric energy metering device has operation abnormity;
and the risk operation index abnormal trend identification module is used for identifying the abnormal trend corresponding to the risk operation index.
2. The intelligent management system for the operation data of the electric energy metering device according to claim 1, characterized in that: the configuration information comprises standard input electricity metering parameters corresponding to the core configuration equipment and rated values of technical parameters corresponding to the auxiliary configuration equipment, wherein the core configuration equipment is an electric energy meter, and the auxiliary configuration equipment comprises a voltage transformer and a current transformer.
3. The intelligent management system for the operation data of the electric energy metering device according to claim 2, characterized in that: the standard input electricity metering parameters comprise a standard input voltage and a standard input current.
4. The intelligent management system for the operation data of the electric energy metering device according to claim 1, characterized in that: the monitoring terminal comprises an electric energy quality monitor and an environment monitoring device.
5. The intelligent management system for the operation data of the electric energy metering device according to claim 3, characterized in that: the configuration measurement level standard reaching degree corresponding to the evaluation target electric energy metering device specifically comprises the following steps:
comparing the operation and maintenance values of the technical parameters corresponding to the voltage transformer with the rated values, and calculating the current voltage conversion capability index corresponding to the voltage sensor
The calculation formula is
Wherein
、
Respectively representing a rated value and an operation and maintenance value of the voltage transformer corresponding to the ith technical parameter, i representing a technical parameter number corresponding to the voltage transformer,
n represents the number of technical parameters possessed by the voltage transformer,
expressed as a conversion capability weight factor corresponding to the ith technical parameter in the voltage transformer, and
and e is expressed as a natural constant;
extracting standard input voltage from standard input electricity metering parameters corresponding to core configuration equipment, and passing the standard input voltage and a current voltage conversion capability index corresponding to a voltage sensor through a prediction formula
Predicting the input voltage of the core configuration equipment under the influence of the conversion of the voltage sensor
Wherein
Expressed as the standard input voltage;
comparing the operation and maintenance values of the technical parameters corresponding to the current transformer with the rated values, and calculating the current conversion capability index corresponding to the current sensor
The calculation formula is
Wherein
、
Respectively representing a rated value and an operation and maintenance value of the jth technical parameter corresponding to the current transformer, j representing a technical parameter number corresponding to the voltage transformer,
m represents the number of technical parameters possessed by the current transformer,
expressed as a conversion capability weight factor corresponding to the jth technical parameter in the current transformer, an
；
Extracting standard input current from standard input electricity metering parameters corresponding to core configuration equipment, and introducing the current conversion capacity index corresponding to the current sensor into a prediction formula
Predicting the input current of the core configuration equipment under the influence of current sensor conversion
Wherein
Expressed as the standard input current;
using an evaluation formula
Counting to obtain the corresponding configuration metering level scale of the target electric energy metering device
A, B represents compensation factors corresponding to the input voltage and the input current, respectively.
6. The intelligent management system for the operation data of the electric energy metering device according to claim 1, characterized in that: the measurement environment influence parameters comprise electric energy quality parameters and atmospheric environment parameters, wherein the electric energy quality parameters comprise voltage deviation, frequency deviation, three-phase voltage unbalance and harmonic voltage, and the atmospheric environment parameters comprise temperature and air relative humidity.
7. The intelligent management system for the operation data of the electric energy metering device according to claim 6, characterized in that: the analysis target electric energy metering device specifically comprises the following steps of corresponding to normal values of various operation indexes at each verification moment:
acquiring the power grid capacity corresponding to the specified power supply circuit, and further matching the adaptive power quality parameter corresponding to the specified power supply circuit;
extracting power quality parameters from the metering environment influence parameters of the specified power supply circuit at each verification time, comparing the power quality parameters with adaptive power quality parameters corresponding to the specified power supply circuit, and calculating the power quality adaptation degree of the specified power supply circuit at each verification time
The calculation formula is
Wherein
、
、
、
Respectively expressed as voltage deviation, frequency deviation, three-phase voltage unbalance and harmonic voltage at the tth verification time, t is the number of the verification time,
and z is expressed as the number of assay occasions,
、
、
、
respectively representing the adaptive voltage deviation, adaptive frequency deviation, adaptive three-phase voltage unbalance and adaptive harmonic voltage corresponding to a specified power supply line;
extracting atmospheric environment parameters from the metering environment influence parameters of the specified power supply line at each verification time, comparing the atmospheric environment parameters with the suitable atmospheric environment parameters of the target electric energy metering device in the management information base in the normal operation state, and calculating the atmospheric environment suitability of the target electric energy metering device at each verification time
The calculation formula is
Wherein
、
Respectively representing the temperature and the relative humidity of the designated power supply line at the tth verification time,
、
respectively expressed as the proper temperature and the proper air relative humidity of the target electric energy metering device in the normal operation state, W is expressed as a set constant, and W is expressed as>1;
Will be provided with
、
And
substitution formula
Evaluating to obtain the comprehensive measurement level scale of the target electric energy metering device at the tth verification time
；
Will be provided with
And comparing the standard reaching range with the set comprehensive measurement level reaching range corresponding to each standard reaching level, screening out the comprehensive measurement level standard reaching level of the target electric energy metering device at the tth verification time, and further matching from the management information base to obtain the normal value of each operation index corresponding to each verification time of the target electric energy metering device.
8. The intelligent management system for the operation data of the electric energy metering device according to claim 7, characterized in that: the method comprises the following steps of judging whether the target electric energy metering device runs abnormally or not, and identifying the operation process corresponding to the risk running index when the target electric energy metering device is judged to run abnormally: comparing the detection value of the target electric energy metering device corresponding to each operation index at each verification time with the normal value of the target electric energy metering device corresponding to the operation index at the verification time, calculating the abnormal index of the target electric energy metering device corresponding to each operation index at each verification time, comparing the abnormal index with the allowable abnormal index corresponding to each operation index in the target electric energy metering device stored in the management information base, if the abnormal index of a certain operation index at a certain verification time is larger than the allowable abnormal index corresponding to the operation index, judging that the target electric energy metering device has abnormal operation, marking the verification index as a risk operation index, marking the verification time as a risk time, otherwise, judging that the target electric energy metering device has no abnormal operation.
9. The intelligent management system for the operation data of the electric energy metering device according to claim 8, characterized in that: the specific identification process corresponding to the abnormal trend corresponding to the identification risk operation index comprises the following steps:
recording the occurrence frequency of the risk operation indexes, and the risk verification time and the operation abnormity index corresponding to each occurrence;
arranging the running abnormality indexes corresponding to the risk running indexes at each occurrence according to the sequence of the risk verification moments to obtain running abnormality index arrangement results corresponding to the risk running indexes, and obtaining running abnormality index comparison difference values corresponding to each adjacent risk verification moment;
respectively extracting symbols of the comparison difference value of the running abnormal indexes corresponding to each adjacent risk verification time, further counting the occurrence proportion of which the symbol is positive and the occurrence proportion of which the symbol is negative, respectively recording the occurrence proportions as D1 and D2, and substituting the two into a formula
Calculating the operation abnormal index contrast action index corresponding to the risk operation index
；
Will be provided with
Comparing with a preset threshold value if
If the occurrence proportion of the sign is positive is larger than the occurrence proportion of the sign is negative, the abnormal trend corresponding to the risk operation index is identified as an ascending trend, and if the occurrence proportion of the sign is positive is smaller than the occurrence proportion of the sign is negative, the abnormal trend corresponding to the risk operation index is identified as a descending trend.
10. The intelligent management system for the operation data of the electric energy metering device according to claim 7, characterized in that: the system also comprises a configuration equipment transformation requirement judging module which is used for extracting the most normal values of each operation index corresponding to the target electric energy metering device from the normal values of each operation index corresponding to the target electric energy metering device at each verification moment, and comparing the most normal values with the standard values of each operation index, so as to judge whether the target electric energy metering device has the configuration equipment transformation requirement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310015110.4A CN115759761B (en) | 2023-01-06 | 2023-01-06 | Intelligent operation data management system for electric energy metering device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310015110.4A CN115759761B (en) | 2023-01-06 | 2023-01-06 | Intelligent operation data management system for electric energy metering device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115759761A true CN115759761A (en) | 2023-03-07 |
| CN115759761B CN115759761B (en) | 2023-06-23 |
Family
ID=85348293
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310015110.4A Active CN115759761B (en) | 2023-01-06 | 2023-01-06 | Intelligent operation data management system for electric energy metering device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115759761B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149549A (en) * | 2013-02-05 | 2013-06-12 | 重庆市电力公司电力科学研究院 | Method and system of data processing based on electric energy metering device |
| CN105117602A (en) * | 2015-08-28 | 2015-12-02 | 国家电网公司 | Metering apparatus operation state early warning method |
| CN106104282A (en) * | 2014-08-28 | 2016-11-09 | 单立辉 | A kind of electric measurement method based on reference energy |
| CN109255524A (en) * | 2018-08-16 | 2019-01-22 | 广西电网有限责任公司电力科学研究院 | A kind of measuring equipment data analyzing evaluation method and system |
| CN113640732A (en) * | 2021-07-22 | 2021-11-12 | 黑龙江省电工仪器仪表工程技术研究中心有限公司 | Electric energy meter metering accuracy estimation system and method based on Pareto distribution |
| CN115222211A (en) * | 2022-06-21 | 2022-10-21 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Electric power energy intelligent analysis management and control system based on internet of things technology |
| WO2022252505A1 (en) * | 2021-06-02 | 2022-12-08 | 杭州安脉盛智能技术有限公司 | Device state monitoring method based on multi-index cluster analysis |
-
2023
- 2023-01-06 CN CN202310015110.4A patent/CN115759761B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149549A (en) * | 2013-02-05 | 2013-06-12 | 重庆市电力公司电力科学研究院 | Method and system of data processing based on electric energy metering device |
| CN106104282A (en) * | 2014-08-28 | 2016-11-09 | 单立辉 | A kind of electric measurement method based on reference energy |
| CN105117602A (en) * | 2015-08-28 | 2015-12-02 | 国家电网公司 | Metering apparatus operation state early warning method |
| CN109255524A (en) * | 2018-08-16 | 2019-01-22 | 广西电网有限责任公司电力科学研究院 | A kind of measuring equipment data analyzing evaluation method and system |
| WO2022252505A1 (en) * | 2021-06-02 | 2022-12-08 | 杭州安脉盛智能技术有限公司 | Device state monitoring method based on multi-index cluster analysis |
| CN113640732A (en) * | 2021-07-22 | 2021-11-12 | 黑龙江省电工仪器仪表工程技术研究中心有限公司 | Electric energy meter metering accuracy estimation system and method based on Pareto distribution |
| CN115222211A (en) * | 2022-06-21 | 2022-10-21 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Electric power energy intelligent analysis management and control system based on internet of things technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115759761B (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107220906B (en) | Multiple Time Scales multiplexing electric abnormality analysis method based on electricity consumption acquisition system | |
| CN107609783B (en) | Method and system for evaluating comprehensive performance of intelligent electric energy meter based on data mining | |
| CN116879662B (en) | Transformer fault detection method based on data analysis | |
| CN113032454A (en) | Interactive user power consumption abnormity monitoring and early warning management cloud platform based on cloud computing | |
| CN110311709B (en) | Fault judgment method for electricity consumption information acquisition system | |
| CN110400231B (en) | Failure rate estimation method for electric energy metering equipment based on weighted nonlinear Bayes | |
| CN115221851B (en) | Analysis processing method and analysis processing system for operation and maintenance inspection form data of electric power station | |
| US20160282400A1 (en) | Equipment failure prediction system, equipment failure prediction device and equipment failure prediction method | |
| CN110889441A (en) | Distance and point density based substation equipment data anomaly identification method | |
| CN114814501B (en) | On-line diagnosis method for capacitor breakdown fault of capacitor voltage transformer | |
| CN115097244A (en) | Method for accurately positioning electricity utilization abnormity or electricity stealing users in electric power system | |
| Jiao et al. | Data-driven evaluation for error states of standard electricity meters on automatic verification assembly line | |
| CN116184265A (en) | Lightning arrester leakage current detection method and system based on multi-classification SVM | |
| CN117318310B (en) | Remote unmanned intelligent monitoring system for explosion-proof power distribution cabinet | |
| CN103344937B (en) | Intelligent electric energy meter consumption detection equipment and detection method | |
| CN111077380A (en) | Full-automatic detection system for operation capacity of transformer | |
| CN111999695B (en) | State evaluation and abnormity diagnosis method for metering device of transformer substation | |
| CN117408514A (en) | Intelligent operation and maintenance transformer substation monitoring and early warning system and method based on multi-parameter sensor | |
| CN110907880B (en) | Calibration method of capacitance tester | |
| CN109784777B (en) | Power grid equipment state evaluation method based on time sequence information fragment cloud similarity measurement | |
| CN115759761A (en) | Intelligent operation data management system for electric energy metering device | |
| CN114325555B (en) | Metering equipment abnormality online monitoring model and error calculation method | |
| Ma et al. | Electric Energy Meter State Management System Based on Index Analysis System | |
| CN116821834B (en) | Vacuum circuit breaker overhauling management system based on embedded sensor | |
| CN110873857A (en) | Intelligent electric energy meter running state evaluation method and system based on multi-source data fusion |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |