CN111596126A - Method for judging affiliation of area meter by using intelligent meter power-off record - Google Patents
Method for judging affiliation of area meter by using intelligent meter power-off record Download PDFInfo
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- CN111596126A CN111596126A CN201910627065.1A CN201910627065A CN111596126A CN 111596126 A CN111596126 A CN 111596126A CN 201910627065 A CN201910627065 A CN 201910627065A CN 111596126 A CN111596126 A CN 111596126A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/063—Details of electronic electricity meters related to remote communication
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Abstract
A method for judging affiliation of a table area meter by using a power-on stop record of an intelligent meter. The method discloses a method for effectively and automatically judging transformer affiliation of an electric energy meter by comparing power-off time and power-on time of a transformer end and an electric energy meter end. The power-off time and the power-on time of the electric energy meter can be accurately calculated by combining the clock error of the electric energy meter; by comparing the power-off time and the power-on time of the transformer end and the electric energy meter end, the transformer attribution of the electric energy meter can be effectively judged.
Description
Technical Field
The method effectively solves the problem of automatic load division of the power supply enterprise which is puzzled for a long time. The traditional manual judgment mode is changed, and more reliable criterion is provided. By using the method, the problem of (1) realizing the automation of the partition of the transformer area is solved, the cost of manpower and instruments for investigation is saved, and the operation efficiency is improved; (2) and reliable criteria are provided, and the management level is improved.
Background
The construction of a power consumption information acquisition system (hereinafter referred to as an acquisition system) has now entered a deep application stage. The applications of low-voltage transformer area line loss analysis, remote cost control, remote recharging, clock timing and the like all need clear and definite intelligent electric energy meter transformer area attribution, namely the low-voltage transformer area needs to have correct load division.
Before the acquisition system is built, a power supply enterprise adopts a manual meter reading mode, the accuracy requirement on the attribution of an intelligent electric energy meter area is not strong, and the problem that the load division is unclear in a large number of low-voltage areas is caused after the acquisition system is online. Power supply enterprises generally adopt a platform area identifier or manually judge in a field power failure mode. However, with the common application of the automation of distribution network in urban network areas, the load transfer between adjacent low-voltage areas becomes a normal state, and the load problem caused by the automation of distribution network is difficult to solve by a manual load dividing mode. In addition, the service such as the station field business expansion needs to judge the attribution of the marked station field.
After the acquisition system is operated on line, higher requirements are provided for the load division of the transformer area, the requirement of the acquisition system for the load division cannot be met in a manual mode, and the attribution of the transformer area of the load must be automatically judged by adopting a technical means.
The basic architecture of the acquisition system comprises a provincial main station, an acquisition terminal and an intelligent electric energy meter. And the acquisition terminal and the intelligent electric energy meter adopt low-voltage power line carrier communication. Because the power line carrier transmits data on the power line, and the power line has clear zone attribution, namely the power supply domain of the low-voltage zone is consistent with the communication domain of the carrier, the determination of the zone attribution of the intelligent electric energy meter through the low-voltage power line carrier has natural advantages. The cell attribution problem of the intelligent electric energy meter can be accurately judged from the carrier communication process of the independent cell.
In a realistic layout of a low-voltage transformer area, there is a case where two or more transformer areas are installed together or near, and the low-voltage side is common to the neutral line. During carrier communication, a carrier signal can reach an adjacent area through a zero line, and the power supply area of the adjacent area is different from the communication area of the carrier, so that the belonging of the intelligent electric energy meter area is judged to be misjudged only by the success or failure of the carrier communication.
Through further research, the power supply lines of the electric energy meters in the single-transformer centralized power supply area are consistent, and the power supply of the electric energy meters can be uniformly cut off when outgoing lines at the transformer end are broken. And the power-off time and the power-on time of the electric energy meter can be accurately calculated by combining the clock error of the electric energy meter. By comparing the power-off time and the power-on time of the transformer end and the electric energy meter end, the transformer attribution of the electric energy meter can be effectively judged.
Disclosure of Invention
In order to solve the problem of automatic distribution of the transformer area load in the prior art, the method provides a method for effectively and automatically judging the transformer affiliation of the electric energy meter by comparing the power-off time and the power-on time of the transformer end and the electric energy meter end.
Drawings
Fig. 1 is a flow chart of station zone differentiation.
Detailed Description
First, basic conditions:
07 the standard electric energy meters support power failure recording, and can record the power failure and power on time of the electric energy meters;
07 the electric energy meter supports the clock excess of the electric energy meter, and the clock error of the electric energy meter can be judged.
II, basic principle:
the power-off time and the power-on time of the electric energy meter can be accurately calculated by combining the clock error of the electric energy meter;
by comparing the power-off time and the power-on time of the transformer end and the electric energy meter end, the transformer attribution of the electric energy meter can be effectively judged.
Thirdly, data acquisition:
accurate power-off and power-on time of the transformer end;
the electric energy meter end is powered off and powered on for a certain time;
and the clock error of the electric energy meter end is large or small.
And fourthly, a data acquisition mode:
accurate power-off and power-on time of the transformer end:
1. through a manual recording mode;
2. stopping the power-on recording mode through the platform area management unit;
and (3) power-off and power-on time of the electric energy meter:
1. reading the last power failure record of the electric energy meter remotely;
the clock error of the electric energy meter end is as follows:
1. reading the current time and date of the electric energy meter remotely;
note: because the electric energy meter clock is two data items, a meter reading interval exists between reading. In order to ensure the accuracy of time, the time is read firstly, if the time is less than 23:58, the date is read, otherwise, the date is not read, and the phenomenon that the reading time clock spans days is avoided.
Fifth, data model
And analyzing the affiliation of the transformer in the transformer area by judging the errors of the power-off time of the electric energy meter and the power-off time of the transformer side after the clock error is calculated.
The method comprises two modes of simple judgment and strict judgment:
and (4) simple judgment: only judging the power-off or power-on time, and considering that any one is within the error as the electric energy meter of the station area;
strictly judging: the power failure, the power-on and the power failure duration time are within the error, and the power failure, the power on and the power failure duration time are considered as the electric energy meter of the local area.
And judging the clocks read before power failure and after power on, and if the error of the two clocks is very large and is larger than a rated threshold, determining that the clock of the electric energy meter jumps.
Sixthly, data analysis results
Data results: electric energy meter with completed analysis and electric energy meter without completed analysis
The electric energy meter has been analyzed: the reading is overtime in the local area and the non-local area.
Is the station area: judging whether the power-on stopping time is within a threshold value;
non-local area: judging the power-on stopping time to be out of the threshold value;
reading overtime: reading overtime, and the times exceed the threshold.
Incomplete analysis of the electric energy meter: clock hopping
Clock jumping: the clock of the electric energy meter is abnormal.
Seventh, task execution mode
The method for acquiring the power-on stop time of the transformer comprises the following steps: 1. manual input; 2. power-off time of platform area management unit
Task starting mode: issuing a task starting command;
duration of the task: the issued command comprises;
the task type is as follows: 1. start/re-execute; 2. continuing to execute the unanalyzed electric energy meter; 3. and re-executing the electric energy meter reading overtime.
And (3) reading data by the task: 1. a clock of the electric energy meter; 2. and recording the last power failure of the electric energy meter.
Eighthly, task execution flow
1. Issuing a station area distinguishing starting command, and acquiring the power-off time of the transformer (manually input or power-off time by using a station area management unit);
2. reading the electric energy meter clock of each electric energy meter in sequence (reading time and reading date), and if the electric energy meter clock is read successfully, reading the last power failure record of the electric energy meter and storing the last power failure record;
3. calculating the clock error of the electric energy meter;
4. analyzing whether the electric energy meter generates clock jump or not;
5. compensating the clock error of the electric energy meter to the power failure time of the electric energy meter;
6. comparing the power-off time of the transformer with the power-off and power-off time of the electric energy meter;
7. adopting a simple mode, if power failure or power up meets a threshold, determining that the cell belongs to the cell, otherwise, determining that the cell does not belong to the cell;
8. adopting a strict mode, if the power failure, power up and power failure duration meet threshold values, determining that the power failure duration belongs to the local area, otherwise, determining that the power failure duration does not belong to the local area;
9. if the reading overtime times of the electric energy meter are larger than the threshold, the electric energy meter judges that the execution is overtime and is not executed any more;
10. stopping task execution if the execution duration is reached or the execution of all the electric energy meters is finished;
11. and the command issuing is supported to continue executing the unexecuted electric energy meter or the overtime electric energy meter.
Nine, actual attribution judgment of electric energy meter in non-local area
Basic conditions: the power failure time of each transformer is different.
Remote Master station System analysis
1. Obtaining power-off and power-on time of each transformer
2. Acquiring the power failure time and the power-on time of each electric energy meter which is judged to be not in the local area
3. And sequentially judging which transformer is in accordance with the electric energy meter in the power-off time period. If the transformer is in accordance with the preset transformer area, the electric energy meter is considered to belong to the transformer area.
Claims (1)
1. A method for judging affiliation of a table area meter by using a power-on stop record of an intelligent meter. The method is characterized in that: by using the intelligent electric energy meter and the acquisition system, the station area distinguishing of the meter can be automatically completed by reading the power-off records of the transformer end and the electric energy meter end.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910627065.1A CN111596126A (en) | 2019-07-12 | 2019-07-12 | Method for judging affiliation of area meter by using intelligent meter power-off record |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910627065.1A CN111596126A (en) | 2019-07-12 | 2019-07-12 | Method for judging affiliation of area meter by using intelligent meter power-off record |
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| Publication Number | Publication Date |
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| CN111596126A true CN111596126A (en) | 2020-08-28 |
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| US20160011247A1 (en) * | 2012-11-15 | 2016-01-14 | State Grid Corporation Of China | Metering circuit apparatus and method for implementing metering |
| CN106646057A (en) * | 2016-12-29 | 2017-05-10 | 国网浙江省电力公司湖州供电公司 | Power-off and power-on active judgment method |
| CN107577699A (en) * | 2017-07-24 | 2018-01-12 | 广东电网有限责任公司汕尾供电局 | A kind of change family topological relation differentiating method based on power off time record |
| CN109406915A (en) * | 2018-12-14 | 2019-03-01 | 国家电网有限公司 | Low-voltage platform area family becomes relationship batch identification device and recognition methods |
-
2019
- 2019-07-12 CN CN201910627065.1A patent/CN111596126A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160011247A1 (en) * | 2012-11-15 | 2016-01-14 | State Grid Corporation Of China | Metering circuit apparatus and method for implementing metering |
| CN104749473A (en) * | 2015-04-21 | 2015-07-01 | 国家电网公司 | Testing method capable of simulating field power utilization information collecting terminal power failure events |
| CN106646057A (en) * | 2016-12-29 | 2017-05-10 | 国网浙江省电力公司湖州供电公司 | Power-off and power-on active judgment method |
| CN107577699A (en) * | 2017-07-24 | 2018-01-12 | 广东电网有限责任公司汕尾供电局 | A kind of change family topological relation differentiating method based on power off time record |
| CN109406915A (en) * | 2018-12-14 | 2019-03-01 | 国家电网有限公司 | Low-voltage platform area family becomes relationship batch identification device and recognition methods |
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Application publication date: 20200828 |