CN110675018B - Line loss anomaly analysis and closed-loop management method based on expert rules - Google Patents
Line loss anomaly analysis and closed-loop management method based on expert rules Download PDFInfo
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Abstract
The invention discloses a line loss anomaly analysis and closed-loop management method based on expert rules, which comprises the following steps: (a) the metering misalignment management is used for maintaining the metering misalignment abnormal rule parameters; (b) data quality exception management, which is used for maintaining data quality exception rule parameters; (c) line loss abnormity management, which is used for maintaining and inquiring line loss abnormity judgment rule parameters of feeder lines and transformer areas; (d) and light load identification management is used for the maintenance of the light load judgment rules of the feeder line and the transformer. The invention can realize intelligent analysis and accurate positioning of the line loss abnormal problem, formulate the handling measure of the line loss abnormal problem and realize closed-loop handling management of the line loss abnormality through the system line loss abnormal work order. Meanwhile, the standard and standardized management of the line loss abnormity rules can be realized, so that the parameter configuration, rule maintenance, query and maintenance management of the line loss abnormity analysis module are very quick and convenient, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of line loss abnormity, in particular to a line loss abnormity analysis and closed-loop management method based on expert rules.
Background
The line loss refers to the energy loss dissipated in the form of heat energy, namely the active power consumed by resistance and conductance. The line loss of the electric energy in the transmission process is caused by resistance action, magnetic field action and management. In the past, the line loss management is very inconvenient and difficult to operate, so that the working efficiency is low.
At present, a low-voltage transformer area lacks an accurate theoretical line loss calculation model and a benchmark line loss threshold value, a marketing system lacks a line loss abnormity analysis and diagnosis model, line loss abnormity reasons cannot be analyzed and disposed in time in actual production, and the effective disposition rate of line loss abnormity is low.
The above disadvantages need to be improved.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a line loss abnormity analysis and closed-loop management method based on expert rules.
The technical scheme of the invention is as follows: a line loss anomaly analysis and closed-loop management method based on expert rules comprises the following steps:
(a) metering misalignment management: the method comprises the management of voltage loss, current loss, reversed polarity and abnormal zero electric quantity, and is used for the maintenance of the metering misalignment abnormal rule parameters;
(b) data quality exception management: the method comprises the steps of judging and managing consistency of a transformer GISID system, accuracy of transformer switch states and errors of metering modes, and is used for maintaining data quality abnormity rule parameters;
(c) and (3) line loss exception management: the method comprises the steps of analyzing and managing the line loss abnormity of a feeder line and the line loss abnormity of a transformer area, and is used for maintaining and inquiring the line loss abnormity judgment rule parameters of the feeder line and the transformer area;
(d) and (3) light load identification management: the method comprises line light load identification and transformer light load management and is used for feeder line and transformer light load judgment rule maintenance.
Preferably, for (a) metering misalignment management, comprising:
and (3) pressure loss management: if the number of times that any one phase voltage of the three phases of the three-phase four-wire high-low supply meter or the three-phase four-wire low supply meter A, B, C is lower than the rated value by 85% in the current day is 10 or more, judging that the voltage is lost; if the frequency of any phase voltage of the three-phase three-wire high supply metering electric energy metering device A, C lower than the rated value by 90% in the current day is 10 times or more, the three-phase three-wire high supply metering electric energy metering device is judged to be voltage loss;
and (3) loss management: if the current of any one of the three-phase current of the three-phase four-wire electric meter A, B, C and the current of the phase line of the three-phase three-wire electric meter A, C is 0, and the current value of the primary side of the phase line with the largest electricity consumption exceeds a preset threshold value within a certain time, the current is judged to be lost.
Preferably, for (a) metering misalignment management, further comprising:
and (3) reverse polarity management: if the absolute value sum of the three-phase active power and the total active power difference value of the A, B, C three-phase active power are equal to the active power of a certain phase when the three-phase four-wire high-power and low-power metering device is at the same time point, or the primary side current of any phase of the three-phase four-wire low-power metering device appears more than 5 times in the day and is less than the preset threshold value, the phase is judged to be reverse polarity;
abnormal zero power management: if the current and the voltage of the electric energy metering device are not 0 and the sum of the three-phase active power is 0, the electric energy metering device judges that the electric energy is abnormal zero electric quantity.
Preferably, the data quality exception management method in the step (b) comprises the following steps:
transformer GISID system consistency management: and matching and comparing the transformers GISIDs of the GIS system and the marketing management system mutually, and finding out the condition that the same transformer is different between the GIS system and the marketing management system GISID, or the condition that the same GISID corresponds to 2 or more transformers.
Preferably, the method further comprises the step of (b) data quality exception management
Transformer switch state accuracy management: comparing the electric quantity conditions of the electric energy metering devices corresponding to the same transformer of the marketing management system and the metering automation system by taking the transformer which is in a shutdown state in the GIS system as a reference, and judging whether the switching state of the transformer is correct or not;
and (3) metering mode error management: and (4) a metering mode error screening rule, wherein if the PT multiplying power is 100, the metering mode is not high-supply high-count, and if the PT multiplying power is 1, the metering mode is high-supply high-count.
Preferably, the light load identification management (d) includes:
line light load identification management: and if the line loss rate is more than or equal to 5% or less than-2%, the daily line loss electric quantity absolute value of the feeder line is less than 1% of the electric quantity of the feeder line gateway, and the daily sold electric quantity is less than a preset value, judging that the feeder line is lightly loaded.
Preferably, the light load identification management (d) further includes:
management of light load of the transformer: and if the maximum primary side current value of the transformer in the last month is less than 30% of the rated current value, judging that the transformer is lightly loaded.
Preferably, when the three-phase four-wire high-power and low-power metering device is at the same time point, the sum of the absolute values of A, B, C three-phase active power and the difference value of the total active power are 50%.
The method and the device have the advantages that by means of the line loss abnormity standardized management, parameter configuration, rule maintenance, query and configuration management are fast and convenient, and work efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
FIG. 2 is a data flow diagram of the present invention.
FIG. 3 is a data flow diagram of the abnormal closed loop process of the present invention.
Detailed Description
The invention is further described below with reference to specific embodiments:
as shown in fig. 1-2, a method for line loss anomaly analysis and closed-loop management based on expert rules includes:
(a) metering misalignment management: the method comprises the steps of voltage loss, current loss, reversed polarity and abnormal zero electric quantity management, and is used for maintaining the metering misalignment abnormal rule parameters;
(b) data quality exception management: the method comprises the steps of judging and managing consistency of a transformer GISID system, accuracy of transformer switch states and errors of metering modes, and is used for maintaining data quality abnormity rule parameters;
(c) and (3) line loss exception management: the method comprises the steps of analyzing and managing the line loss abnormity of a feeder line and the line loss abnormity of a transformer area, and is used for maintaining and inquiring the line loss abnormity judgment rule parameters of the feeder line and the transformer area;
(d) and (3) light load identification management: the method comprises line light load identification and transformer light load management and is used for feeder line and transformer light load judgment rule maintenance.
Specifically, (a) metering misalignment management, comprising:
and (3) pressure loss management: if the number of times that any one phase voltage of the three phases of the three-phase four-wire high-low supply meter or the three-phase four-wire low supply meter A, B, C is lower than the rated value by 85% in the current day is 10 or more, judging that the voltage is lost; if the frequency of any phase voltage of the three-phase three-wire high-supply metering electric energy metering device A, C appearing below the rated value by 90% in the current day is 10 times or more, the voltage is judged to be the voltage loss. And (4) realizing the configuration of the voltage loss parameters, including a metering mode, a threshold value smaller than the rated voltage and occurrence times, and rejecting invalid value and null value data.
And (3) loss management: if the current of any one of the three-phase current of the three-phase four-wire electric meter A, B, C and the current of the phase line of the three-phase three-wire electric meter A, C is 0, and the current value of the primary side of the phase line with the largest electricity consumption exceeds a preset threshold value within a certain time, the current is judged to be lost. And (3) realizing the current loss parameter configuration, wherein the current of any phase current in the current day is 0, and the primary side current value of the phase line with the maximum power consumption exceeds a preset threshold value within a certain time, and eliminating invalid value and null value data.
And (3) reverse polarity management: if the difference between the absolute value sum of A, B, C three-phase active power and the total active power is equal to the active power of a certain phase when the three-phase four-wire high-power and low-power metering electric energy metering device is at the same time point, or the primary side current of any phase is less than a preset threshold value more than 5 times of the current of the three-phase four-wire low-power metering electric energy metering device in the same day, the phase is judged to be reverse polarity. And realizing reversed polarity parameter configuration, wherein 50% of difference value between the sum of absolute values of A, B, C three-phase active power and total active power is equal to active power of a certain phase, or primary side current of any phase appearing more than 5 times in the day is smaller than a preset threshold value, and invalid values, null values, no-load and light load are eliminated.
Abnormal zero power management: if the current and the voltage of the electric energy metering device are not 0 and the sum of the three-phase active power is 0, the electric energy metering device judges that the electric energy is abnormal zero electric quantity. And (3) realizing abnormal zero electric quantity configuration, wherein the current and the voltage of the electric energy metering device are not 0, but the sum of three-phase active power is 0, and eliminating an invalid value, an empty value, no load and light load.
And support metering misalignment exception rule querying, editing and saving, and support editing rights management.
Specifically, (b) data quality anomaly management includes:
transformer GISID system consistency management: and matching and comparing the transformers GISIDs of the GIS system and the marketing management system mutually, and finding out the condition that the same transformer is different between the GIS system and the marketing management system GISID, or the condition that the same GISID corresponds to 2 or more transformers. And the inconsistency of the GISID of the same transformer GIS system and the GISID of the marketing system is checked, and the check of the same GISID corresponding to a plurality of transformers is realized.
Transformer switch state accuracy management: and comparing the electric quantity conditions of the electric energy metering devices corresponding to the same transformer of the marketing management system and the metering automation system by taking the transformer which is in a shutdown state in the GIS system as a reference, and judging whether the switching state of the transformer is correct or not. And the GIS system transformer is shut down, but the power consumption of the transformer is not zero.
And (3) metering mode error management: and (4) a metering mode error screening rule, wherein if the PT multiplying power is 100, the metering mode is not a high-supply meter, and if the PT multiplying power is 1, the metering mode is a high-supply meter. A metering mode error check is implemented.
And supporting rule parameter inquiry, editing, saving and supporting editing authority management.
Specifically, (c) line loss anomaly management includes:
the feeder line loss anomaly analysis and management method comprises the following steps:
(1) capacity checking: the capacity of the transformer is = the capacity of the transformer is multiplied by 0.9 times day operation hour-total daily electric quantity of the transformer-daily line loss of the feeder line, and if the capacity of the transformer is greater than or equal to 0 and the transformer is not overloaded, the electric quantity leakage meter and the checking range of electricity stealing of users are included. Whether a user has electric quantity leakage and suspicion of electricity stealing is judged according to the capacity of the transformer.
(2) And (3) checking the electrical characteristics: and checking the fluctuation of the electric quantity of each time period every day of the suspected mark with metering misalignment, wherein the fluctuation of the daily electric quantity along with seasons conforms to the electric utilization characteristics corresponding to the electric utilization properties. The inconsistent check of the power utilization property of the fluctuation of the user time interval and the daily power consumption is realized.
(3) And (3) historical service checking: checking the electricity inspection record to determine whether the electricity meter has faults with slow speed and unknown reasons, and the meter has been replaced for 3 times or more within 2 years, or the electricity quantity ring ratio is increased by 30% or more before and after the meter is replaced. Whether the electricity consumption of a user is slow or not and the electricity quantity abnormal operation is checked is judged according to the electricity consumption check record and the table changing event.
(4) Electric quantity correlation analysis method: and checking whether the condition that the sudden change amplitude of the electric quantity of a certain user is matched with the sudden change amplitude of the electric quantity of the feeder line loss exists. And the correlation analysis of the power consumption variation amplitude of the user and the line loss electric quantity is realized.
Analyzing and managing the line loss abnormity of the transformer area:
the method comprises the following steps of (I) screening rules of a zero-electricity meter: for the replaced meter, the electric quantity in the next meter reading period is zero, and the electric quantity in the previous meter reading period is not 0. And zero electric quantity abnormity inspection before and after meter replacement is realized.
(II) metering misalignment screening rules: in a certain meter reading period, the loop ratio and the same ratio of the electric quantity of a certain user or a certain low-voltage three-phase sub-meter in a distribution room are reduced by 50% or more, the reduction amplitude is 1500 kilowatt-hour or more, and the reduction amplitude is equal to 80% to 120% of the increase amplitude of the electric quantity lost in the corresponding distribution room. The metering misalignment of the meter is judged according to the same-ratio or ring-ratio electric quantity decreasing amplitude and the loss electric quantity ratio of the meter.
(III) screening rules of the station partition table with unmatched capacity and electric quantity: the electricity consumption property is commercial or common low-voltage three-phase electricity meter, and the multiplying power is more than 1, and the average monthly electricity quantity is less than 1000 kilowatts from 5 months to 10 months. And the inconsistency between the platform area capacity and the power consumption is checked.
(IV) metering misalignment high risk customer screening rules: under the platform area with the line loss rate of more than 10% in three continuous meter reading periods, three-phase electric meter users who have three types of case records or three-phase electric meter users who have 3 times or more of replacement records in the last three years. The high-risk user identification of metering misalignment is realized according to the line loss rate of the platform area, three types of cases and the record of table change.
(V) screening rules of the ammeter uncovering records: and acquiring the uncovering time of the ammeter and an alarm event, comparing the uncovering time with the table changing time of the marketing management system, and screening users with private uncovering suspicions. And realizing the detection of inconsistency between the uncapping alarm time and the scheduling time and generating a private uncapping suspected event.
And the method supports the inquiry, editing and storage of the line loss abnormal rule and the management of editing authority.
Specifically, the light load identification management (d) includes:
line light load identification management: and if the line loss rate is more than or equal to 5% or less than-2%, the daily line loss electric quantity absolute value of the feeder line is less than 1% of the electric quantity of the feeder line gateway, and the daily sold electric quantity is less than a preset value, judging that the feeder line is lightly loaded. And the feeder light load threshold maintenance is realized.
And (3) managing the light load of the transformer: and if the maximum primary side current value of the transformer in the last month is less than 30% of the rated current value, judging that the transformer is lightly loaded. And the maintenance of the light load threshold of the transformer is realized.
And whether line loss abnormity is judged and analyzed by the light-load feeder line and the transformer is set, and the editing, storage, editing and storage authority management of the light-load identification rules of the feeder line and the transformer area are supported.
Specifically, when the three-phase four-wire high-power and low-power metering electric energy metering device is at the same time point, the difference value between the absolute value sum of A, B, C three-phase active power and the total active power is 50%, the difference value interval is 48% -52%, and 50% is the optimal difference value.
The abnormal closed-loop processing comprises abnormal work order processing, work order processing progress tracking supervision and abnormal classification, wherein:
processing the abnormal work order, inquiring according to the abnormal type, the abnormal category, the processing state, whether the abnormal type is overdue, the name of the line or the platform area and the starting and ending time, and displaying the organization, the name of the line or the platform area, the number of the user, the name of the user, the number of the metering point, the type of the metering point, the number of the table asset, the abnormal type, the occurrence date, the occurrence frequency, the number of the work order, the processing state, the operation (auditing and processing), and the operation: and (6) performing batch auditing.
The work order handling progress supervision is carried out, and according to the exception type, exception category, processing state, whether the processing state is overdue, line or platform area name and starting and ending time inquiry, the organization, line or platform area number, line or platform area name, user number, user name, metering point number, metering point type and table asset number are displayed, and the operation is carried out: and (5) supervising and handling in batches.
And (4) performing exception classification and total, inquiring according to organization, object types (distribution areas and lines), time types (time periods and time points) and starting and ending time, displaying the total number of the exception objects and a line loss recovery normal histogram after exception handling, and displaying organization, object types, data time, the number of the exception objects of the line loss rate, the number of the line loss rate reaching the standard after the exception handling and the handling rate by using a data table.
Processing a work order: and realizing abnormal work order examination and work order disposal. The work order audit supports batch audit and item-by-item audit; the work order disposal can only be disposed one by one.
Tracking and supervising: and tracking and managing the processing progress of the work order. And the support initiates supervision reminding to the responsible person who is overdue or needs to process the work order preferentially.
And (4) classification and summary: and multi-dimensional analysis of organization, abnormal types, problem categories and processing states is realized, abnormal features and distribution thereof are found, and data support is provided for abnormal rule optimization, abnormal handling and fine management.
Compared with the prior art, the method has the advantages that by adopting the scheme, the normalized management of the line loss abnormity is realized, the parameter configuration, the rule maintenance, the query and the configuration management are very quick and convenient, and the working efficiency is improved.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
The invention is described above by way of example, and it is obvious that the implementation of the invention is not limited by the above-mentioned manner, and it is within the scope of the invention to adopt various modifications of the inventive method concept and technical solution, or to apply the inventive concept and technical solution to other occasions without modification.
Claims (2)
1. A line loss anomaly analysis and closed-loop management method based on expert rules is characterized by comprising the following steps:
(a) metering misalignment management: the method comprises the management of voltage loss, current loss, reverse polarity and abnormal zero electric quantity, and is used for the maintenance of metering misalignment abnormal rule parameters, wherein:
and (3) pressure loss management: if the number of times that any one phase voltage of the three phases of the three-phase four-wire high-low supply meter or the three-phase four-wire low supply meter A, B, C is lower than the rated value by 85% in the current day is 10 or more, judging that the voltage is lost; if the frequency of any one-phase voltage of the three-phase three-wire high supply metering electric energy metering device A, C which is lower than the rated value by 90% in the same day is 10 times or more, the voltage is judged to be a voltage loss;
and (3) loss management: if the current of any phase of the three-phase four-wire electric meter A, B, C and the current of any phase of the three-phase three-wire electric meter A, C in the same day are both 0, and the current value of the primary side of the phase line with the largest power consumption exceeds a preset threshold value within a certain time, the current is judged to be lost;
and (3) reverse polarity management: if the absolute value sum of the three-phase active power and the total active power difference value of the A, B, C three-phase active power are equal to the active power of a certain phase when the three-phase four-wire high-power and low-power metering device is at the same time point, or the primary side current of any phase of the three-phase four-wire low-power metering device appears more than 5 times in the day and is less than the preset threshold value, the phase is judged to be reverse polarity;
abnormal zero power management: if the current and the voltage of the electric energy metering device are not 0 and the sum of the three-phase active power is 0, judging that the electric energy is abnormal zero electric quantity;
when the three-phase four-wire high-power and low-power metering electric energy metering device is at the same time point, the difference value between the sum of the absolute values of A, B, C three-phase active power and the total active power is 48-52%;
(b) data quality exception management: the method comprises the following steps of judging and managing the consistency of a transformer GISID system, the accuracy of a transformer switch state and the error of a metering mode, and is used for maintaining the parameters of the data quality abnormity rule:
transformer GISID system consistency management: matching and comparing the transformers GISIDs of the GIS system and the marketing management system mutually, and finding out the condition that the same transformer is different between the GIS system and the marketing management system GISID, or the condition that the same GISID corresponds to 2 or more transformers;
transformer switch state accuracy management: comparing the electric quantity conditions of the electric energy metering devices corresponding to the same transformer of the marketing management system and the metering automation system by taking the transformer which is in a shutdown state in the GIS system as a reference, and judging whether the switching state of the transformer is correct or not;
and (3) metering mode error management: a metering mode error screening rule, wherein if the PT multiplying power is 100, the metering mode is not a high-supply high-meter, and if the PT multiplying power is 1, the metering mode is a high-supply high-meter;
(c) and (3) line loss exception management: the method comprises the steps of analyzing and managing the line loss abnormity of a feeder line and the line loss abnormity of a transformer area, and is used for maintaining and inquiring the line loss abnormity judgment rule parameters of the feeder line and the transformer area;
(d) and (3) light load identification management: the method comprises the steps of line light load identification and transformer light load management, and is used for feeder line and transformer light load judgment rule maintenance, wherein the line light load identification management comprises the following steps: and if the line loss rate is more than or equal to 5% or less than-2%, the absolute value of the daily line loss electric quantity of the feeder is less than 1% of the electric quantity of the feeder gateway, and the daily selling electric quantity is less than a preset value, judging that the feeder is lightly loaded.
2. The expert rules based line loss anomaly analysis and closed-loop management method according to claim 1, wherein for (d) light load identification management, further comprising:
and (3) managing the light load of the transformer: and if the maximum primary side current value of the transformer in the last month is less than 30% of the rated current value, judging that the transformer is lightly loaded.
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| CN112213687B (en) * | 2020-10-10 | 2023-05-16 | 国网四川省电力公司电力科学研究院 | Gateway electric energy meter data anomaly detection method and system based on pseudo-anomaly point identification |
| CN113837725A (en) * | 2021-09-29 | 2021-12-24 | 国网辽宁省电力有限公司沈阳供电公司 | Automatic line loss work order circulation system and method |
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| CN109683059B (en) * | 2018-12-30 | 2021-06-22 | 国网北京市电力公司 | Method and device for determining line loss abnormity, storage medium and processor |
| CN110109771A (en) * | 2019-05-07 | 2019-08-09 | 北京恒泰实达科技股份有限公司 | The abnormal key diagnostic method of a kind of area's line loss |
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