CN110675018A - 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
- Publication number
- CN110675018A CN110675018A CN201910744758.9A CN201910744758A CN110675018A CN 110675018 A CN110675018 A CN 110675018A CN 201910744758 A CN201910744758 A CN 201910744758A CN 110675018 A CN110675018 A CN 110675018A
- Authority
- CN
- China
- Prior art keywords
- management
- phase
- line loss
- transformer
- metering
- 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
- 238000007726 management method Methods 0.000 title claims abstract description 101
- 238000004458 analytical method Methods 0.000 title claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims abstract description 30
- 238000012423 maintenance Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims description 22
- 230000005611 electricity Effects 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 claims 3
- 238000012545 processing Methods 0.000 description 12
- 230000002354 daily effect Effects 0.000 description 7
- 230000008520 organization Effects 0.000 description 5
- 238000009826 distribution Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 238000012550 audit Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000010219 correlation analysis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000004141 dimensional analysis Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
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 the light load identification management is used for maintaining the light load judgment rule of the feeder line and the transformer. The invention can realize intelligent analysis and accurate positioning of the line loss abnormity problem, formulate the treatment measure of the line loss abnormity problem, and realize closed-loop treatment management of the line loss abnormity through the system line loss abnormity worksheet. 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.
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:
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.
Preferably, the sum of the absolute values of the A, B, C three-phase active power and the total active power of the three-phase four-wire high-power and low-power metering device at the same time point are 50%. .
The invention according to the scheme has the advantages that the standardized management of the line loss abnormity is realized, so that the parameter configuration, the rule maintenance, the query and the configuration management are very quick and convenient, and the working 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 analyzing line loss anomaly and managing closed loop based on expert rules includes:
(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.
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. 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 the configuration comprises a metering mode, wherein 50% of the difference value between the sum of absolute values of A, B, C three-phase active power and the total active power is equal to the active power of a certain phase, or the primary side current of any phase of the three-phase four-wire low-supply low-count electric energy metering device appears more than 5 times in the day and is less than a preset threshold value, and an invalid value, a null value, no load and light load are removed.
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, a null 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 high-supply high-count, and if the PT multiplying power is 1, the metering mode is high-supply high-count. 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-electricity 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 line loss abnormal rule inquiry, editing and storage are supported, and the editing authority management is supported.
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 (3) 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 (8)
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, 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.
2. The expert rules based line loss anomaly analysis and closed-loop management method of claim 1, wherein 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.
3. The expert rules based line loss anomaly analysis and closed-loop management method of claim 2 further comprising, for (a) metering misalignment management:
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.
4. The line loss abnormality control method according to claim 2 or 3, wherein the sum of absolute values of A, B, C three-phase active power and the total active power are 48-52% at the same time point of the three-phase four-wire high-low power meter.
5. The expert rule based line loss anomaly analysis and closed-loop management method according to claim 1, wherein for (b) data quality anomaly management, the method comprises:
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.
6. The expert rules based line loss anomaly analysis and closed-loop management method of claim 1, further comprising, for (b) data quality anomaly management, performing anomaly 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.
7. The line loss abnormality management method according to claim 1, wherein the management for (d) light load identification 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.
8. The line loss abnormality management method according to claim 7, further comprising, for (d) light load recognition management:
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910744758.9A CN110675018B (en) | 2019-08-13 | 2019-08-13 | Line loss anomaly analysis and closed-loop management method based on expert rules |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910744758.9A CN110675018B (en) | 2019-08-13 | 2019-08-13 | Line loss anomaly analysis and closed-loop management method based on expert rules |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110675018A true CN110675018A (en) | 2020-01-10 |
| CN110675018B CN110675018B (en) | 2022-09-16 |
Family
ID=69068740
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910744758.9A Active CN110675018B (en) | 2019-08-13 | 2019-08-13 | Line loss anomaly analysis and closed-loop management method based on expert rules |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110675018B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111948448A (en) * | 2020-08-20 | 2020-11-17 | 国网河北省电力有限公司沧州供电分公司 | Anti-electricity-stealing system based on expert knowledge base |
| CN112213687A (en) * | 2020-10-10 | 2021-01-12 | 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 |
| CN114994453A (en) * | 2022-05-10 | 2022-09-02 | 国网江西省电力有限公司电力科学研究院 | Method for studying and judging abnormal line loss reasons of multi-dimensional characteristics of distribution line |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1071186A1 (en) * | 1999-07-14 | 2001-01-24 | BCN Data Systems Inc. | Detecting and mapping power line loss in a power network |
| JP2008252999A (en) * | 2007-03-29 | 2008-10-16 | Chubu Electric Power Co Inc | Line loss reducing apparatus of power system, power system and method for configuring power system |
| CN104467193A (en) * | 2014-12-29 | 2015-03-25 | 国家电网公司 | Four-division line loss quasi real-time on-line monitoring scheme based on daily frequentness monitoring |
| CN106356844A (en) * | 2016-09-30 | 2017-01-25 | 国网上海市电力公司 | Method for analyzing zone area line loss abnormal reason of power distribution network |
| CN108446842A (en) * | 2018-03-13 | 2018-08-24 | 同方鼎欣科技股份有限公司 | A kind of electric power battalion air distribution keyholed back plate manages method and system |
| CN108764501A (en) * | 2018-05-30 | 2018-11-06 | 国网上海市电力公司 | A kind of analysis of line loss problem and defect elimination processing method |
| CN109242722A (en) * | 2018-09-14 | 2019-01-18 | 国网河北省电力有限公司电力科学研究院 | Platform area line loss on-line monitoring method, system and terminal device |
| CN109636124A (en) * | 2018-11-18 | 2019-04-16 | 韩霞 | Power industry low-voltage platform area line loss analyzing method and processing system based on big data |
| CN109683059A (en) * | 2018-12-30 | 2019-04-26 | 国网北京市电力公司 | Determine method and device, the storage medium, processor of line loss exception |
| 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 |
-
2019
- 2019-08-13 CN CN201910744758.9A patent/CN110675018B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1071186A1 (en) * | 1999-07-14 | 2001-01-24 | BCN Data Systems Inc. | Detecting and mapping power line loss in a power network |
| JP2008252999A (en) * | 2007-03-29 | 2008-10-16 | Chubu Electric Power Co Inc | Line loss reducing apparatus of power system, power system and method for configuring power system |
| CN104467193A (en) * | 2014-12-29 | 2015-03-25 | 国家电网公司 | Four-division line loss quasi real-time on-line monitoring scheme based on daily frequentness monitoring |
| CN106356844A (en) * | 2016-09-30 | 2017-01-25 | 国网上海市电力公司 | Method for analyzing zone area line loss abnormal reason of power distribution network |
| CN108446842A (en) * | 2018-03-13 | 2018-08-24 | 同方鼎欣科技股份有限公司 | A kind of electric power battalion air distribution keyholed back plate manages method and system |
| CN108764501A (en) * | 2018-05-30 | 2018-11-06 | 国网上海市电力公司 | A kind of analysis of line loss problem and defect elimination processing method |
| CN109242722A (en) * | 2018-09-14 | 2019-01-18 | 国网河北省电力有限公司电力科学研究院 | Platform area line loss on-line monitoring method, system and terminal device |
| CN109636124A (en) * | 2018-11-18 | 2019-04-16 | 韩霞 | Power industry low-voltage platform area line loss analyzing method and processing system based on big data |
| CN109683059A (en) * | 2018-12-30 | 2019-04-26 | 国网北京市电力公司 | Determine method and device, the storage medium, processor of line loss exception |
| 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 |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111948448A (en) * | 2020-08-20 | 2020-11-17 | 国网河北省电力有限公司沧州供电分公司 | Anti-electricity-stealing system based on expert knowledge base |
| CN112213687A (en) * | 2020-10-10 | 2021-01-12 | 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 |
| 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 |
| CN114994453A (en) * | 2022-05-10 | 2022-09-02 | 国网江西省电力有限公司电力科学研究院 | Method for studying and judging abnormal line loss reasons of multi-dimensional characteristics of distribution line |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110675018B (en) | 2022-09-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110675018B (en) | Line loss anomaly analysis and closed-loop management method based on expert rules | |
| CN104219315B (en) | A kind of operation monitoring system of power information acquisition system and method for supervising thereof | |
| CN109683059B (en) | Method and device for determining line loss abnormity, storage medium and processor | |
| CN105092917B (en) | A kind of electricity anti-theft system | |
| CN110928866A (en) | Line topology checking method and system based on power failure information big data analysis | |
| CN113032454A (en) | Interactive user power consumption abnormity monitoring and early warning management cloud platform based on cloud computing | |
| CN110739686A (en) | distribution room line loss management method and system based on summary chart anomaly analysis | |
| CN108490285B (en) | Low-voltage transformer area line loss rate calculation method based on voltage drop method | |
| CN111832174B (en) | Multi-regression-based wiring line loss rate processing method and device | |
| CN111724060A (en) | Integrated analysis monitoring system and analysis method for transformer area line loss | |
| CN110703009A (en) | Abnormal analysis and processing method for line loss rate of transformer area | |
| CN111310854A (en) | Low false alarm rate electricity stealing detection secondary screening method based on electricity load fingerprint | |
| CN111027026A (en) | Meter reading data abnormity intelligent diagnosis system | |
| CN112434942A (en) | Intelligent early warning for preventing electricity stealing and user electricity utilization behavior analysis method | |
| CN114528951A (en) | Distribution network line single line diagram abnormity diagnosis and analysis method, system and device | |
| CN116128467A (en) | Power utilization system maintenance method, device, computer equipment and storage medium | |
| CN104834305B (en) | Distribution automation terminal remote measurement exception analysis system and method based on DMS systems | |
| CN112084678A (en) | Wire loss rate processing method and device based on multiple regression | |
| CN112015724A (en) | Method for analyzing metering abnormality of electric power operation data | |
| CN113570076A (en) | Online operation and maintenance management platform for gateway metering device of power plant | |
| CN110873857A (en) | Intelligent electric energy meter running state evaluation method and system based on multi-source data fusion | |
| CN112649696A (en) | Power grid abnormal state identification method | |
| Su et al. | Design of transformer load monitoring systems by utilizing smart meter data | |
| CN204204051U (en) | The long-range inspection device of electric substation | |
| CN105572614B (en) | The long-range cruising inspection system of metering device |
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 |