CN112798899A - Method, device, terminal and storage medium for checking line loss abnormity influence factors - Google Patents
Method, device, terminal and storage medium for checking line loss abnormity influence factors Download PDFInfo
- Publication number
- CN112798899A CN112798899A CN202110364699.XA CN202110364699A CN112798899A CN 112798899 A CN112798899 A CN 112798899A CN 202110364699 A CN202110364699 A CN 202110364699A CN 112798899 A CN112798899 A CN 112798899A
- Authority
- CN
- China
- Prior art keywords
- transformation ratio
- influence
- decimal
- line loss
- current transformer
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a method, a device, a terminal and a storage medium for checking line loss abnormity influence factors, and the digit of a small number of electric quantity sold is obtained; obtaining the transformation ratio of a current transformer and a voltage transformer at a power supply end, and the transformation ratio of the current transformer and the voltage transformer at a power selling end; calculating decimal trade-off influence degree according to the acquired digit of the decimal point of the electricity supply sale quantity, the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, the electricity sale end current transformer transformation ratio and the voltage transformer transformation ratio; judging whether the relation between the absolute value of the line loss electric quantity and the decimal fraction accepting and rejecting influence degree in the same period meets a preset condition or not; if so, the influence factor influencing the abnormal line loss electricity quantity in the same period is chosen or chosen as the decimal of the electricity quantity for sale. The method can rapidly check whether the influence factor of the line loss abnormity is decimal, provides an influence factor for checking, effectively improves the checking efficiency and accuracy, and enables the data of the line loss in the same period to have higher analysis value.
Description
Technical Field
The invention relates to the field of line loss abnormity influence factor investigation, in particular to a method, a device, a terminal and a storage medium for investigating line loss abnormity influence factors.
Background
In the power industry, the contemporaneous line loss data of the 10 kilovolt line provides a judgment basis for managing line loss such as electricity stealing for line loss practitioners. At present, the line loss management system generally calculates the synchronous line loss capacity of the 10 kv line by a calculation formula of the synchronous line loss capacity (synchronous line loss capacity = synchronous power supply capacity-synchronous power selling capacity). However, in actual operation, the abnormal condition that the calculated synchronous line loss electric quantity is a negative value is found, and the influence of the digital display mode of the line loss management system on the line loss calculation result is not considered in the existing method for checking the influence factor causing the abnormality.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method, an apparatus, a terminal and a storage medium for checking line loss abnormality influence factors.
The technical scheme of the invention is as follows: a method for checking line loss abnormality influence factors comprises the following steps:
s1, acquiring digits after the electric quantity sold is a decimal;
s2, obtaining the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, and the power selling end current transformer transformation ratio and the voltage transformer transformation ratio;
s3, calculating decimal influence degree according to the acquired digit number of the decimal point of the electricity supply, the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, the power sale end current transformer transformation ratio and the voltage transformer transformation ratio;
s4, judging whether the relation between the absolute value of the line loss electric quantity and the decimal fraction accepting and rejecting influence degree in the same period meets a preset condition or not; if so, the influence factor influencing the abnormal line loss electricity quantity in the same period is chosen or chosen as the decimal of the electricity quantity for sale.
Further, step S3 is specifically:
acquiring the maximum transformation ratio and the minimum transformation ratio of a current transformer in all the transformation ratios of the current transformers at a power supply end and a power selling end;
obtaining the maximum transformation ratio and the minimum transformation ratio of a voltage transformer in the transformation ratios of all voltage transformers at a power supply end and a power selling end;
calculating decimal fraction taking and rejecting influence minimum degree, wherein the decimal fraction taking and rejecting influence minimum degree = digits after the point of the electric quantity for sale, namely the minimum transformation ratio of the current transformer and the minimum transformation ratio of the voltage transformer;
and calculating the maximum influence of decimal fraction, wherein the maximum influence of decimal fraction = the number of digits after the point of the decimal fraction of the electricity sold, the maximum transformation ratio of the current transformer and the maximum transformation ratio of the voltage transformer.
Further, in step S4, it is determined whether the relationship between the absolute value of the power loss and the decimal fraction selection influence degree in the same period meets a preset condition, specifically:
and judging whether the absolute value of the line loss electric quantity in the same period is between the minimum degree of decimal fraction selection and the maximum degree of decimal fraction selection and division influence.
The technical scheme of the invention also comprises a device for checking the line loss abnormal influence factors, which comprises,
decimal point digit acquisition module: acquiring digits after the electric quantity for sale is a decimal;
the transformer transformation ratio acquisition module: obtaining the transformation ratio of a current transformer and a voltage transformer at a power supply end, and the transformation ratio of the current transformer and the voltage transformer at a power selling end;
the influence degree calculation module: calculating decimal trade-off influence degree according to the acquired digit of the decimal point of the electricity supply sale quantity, the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, the electricity sale end current transformer transformation ratio and the voltage transformer transformation ratio;
influence factor judging module: judging whether the relation between the absolute value of the line loss electric quantity and the decimal fraction accepting and rejecting influence degree in the same period meets a preset condition or not; if so, the influence factor influencing the abnormal line loss electricity quantity in the same period is chosen or chosen as the decimal of the electricity quantity for sale.
Further, the influence degree calculation module includes,
the current transformer extreme value transformation ratio obtaining submodule: acquiring the maximum transformation ratio and the minimum transformation ratio of a current transformer in all the transformation ratios of the current transformers at a power supply end and a power selling end;
the voltage transformer extreme value transformation ratio obtaining submodule: obtaining the maximum transformation ratio and the minimum transformation ratio of a voltage transformer in the transformation ratios of all voltage transformers at a power supply end and a power selling end;
the minimum influence degree calculation submodule is used for: calculating decimal fraction taking and rejecting influence minimum degree, wherein the decimal fraction taking and rejecting influence minimum degree = digits after the point of the electric quantity for sale, namely the minimum transformation ratio of the current transformer and the minimum transformation ratio of the voltage transformer;
the maximum influence degree calculation submodule: and calculating the maximum influence of decimal fraction, wherein the maximum influence of decimal fraction = the number of digits after the point of the decimal fraction of the electricity sold, the maximum transformation ratio of the current transformer and the maximum transformation ratio of the voltage transformer.
Further, the influence factor judgment module judges whether the size relationship between the absolute value of the line loss electric quantity and the decimal fraction selection and rejection influence degree in the same period meets a preset condition, and specifically comprises the following steps:
and judging whether the absolute value of the line loss electric quantity in the same period is between the minimum degree of decimal fraction selection and the maximum degree of decimal fraction selection and division influence.
The technical scheme of the invention also comprises a terminal, which comprises:
a processor;
a memory for storing instructions for execution by the processor;
wherein the processor is configured to perform any of the methods described above.
The invention also comprises a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method as defined in any one of the above.
The invention provides a method, a device, a terminal and a storage medium for checking line loss abnormity influence factors, which judge the influence of decimal selection or division of electricity sales on the same-period line loss electricity abnormity through the digits after the electricity sales is decimal and the transformation ratio of a current-voltage transformer, and if the same-period line loss electricity meets the preset condition, the same-period line loss electricity abnormity caused by decimal selection or division adopted by a line loss management system in a digital display form of the electricity sales is shown. The method can rapidly check whether the influence factor of the line loss abnormity is decimal, provides an influence factor for checking, effectively improves the checking efficiency and accuracy, and enables the data of the line loss in the same period to have higher analysis value.
Drawings
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a second structure according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings by way of specific examples, which are illustrative of the present invention and are not limited to the following embodiments.
Example one
The embodiment provides a method for checking line loss abnormality influence factors, which has the following principle: and (3) the same-period line loss electric quantity = same-period power supply quantity-same-period power selling quantity, and the line loss electric quantity is judged to be influenced by the power supply quantity and power selling quantity acquisition mode and accuracy. When the electric quantity is small, a negative value appears in the same-period line loss electric quantity, and at the moment, the reason that the same-period line loss electric quantity is the negative value needs to be checked. At present, electricity supply and sale quantity is collected by an electricity collection device and transmitted to a line loss management system, the line loss management system displays the electricity supply and sale quantity in a digital mode, but the displayed electricity supply and sale quantity is generally taken 2 or 3 bits after a decimal point, and the subsequent numerical value is discarded. Researchers find that the power supply is small, the same-phase line loss power is negative, but the same-phase line loss power is calculated in an error mode, the error has small influence on subsequent calculation, and the error can be ignored and can be taken as an allowable error. The present embodiment provides a method to quickly check whether the negative value of the power loss is the same period caused by the line loss management system accepting or rejecting the decimal of the power supply, and if so, ignore the exception.
As shown in fig. 1, the method of the present embodiment includes the following steps:
s1, acquiring digits after the electric quantity sold is a decimal;
the numerical values of the power supply quantity and the power selling quantity displayed by the line loss management system are generally taken to be 2 bits or 3 bits after a decimal point (the power supply quantity and the power selling quantity in one line loss management system have the same value taking mode), and different line loss management systems can have different value taking digits.
S2, obtaining the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, and the power selling end current transformer transformation ratio and the voltage transformer transformation ratio;
it should be noted that, in this embodiment, all transformer transformation ratios of the power supply end and the power selling end are obtained, so that the maximum transformation ratio and the minimum transformation ratio are screened out in the following.
S3, calculating decimal influence degree according to the acquired digit number of the decimal point of the electricity supply, the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, the power sale end current transformer transformation ratio and the voltage transformer transformation ratio;
the embodiment specifically calculates the decimal fraction accepting and rejecting influence degree through the digits after the decimal fraction point of the electricity quantity sold, the maximum transformation ratio and the minimum transformation ratio of the mutual inductor so as to judge whether the synchronous line loss electricity quantity caused by decimal fraction accepting and rejecting is abnormal.
Firstly, the maximum transformation ratio and the minimum transformation ratio of a current transformer in the transformation ratios of all the current transformers at a power supply end and a power selling end are obtained. Namely, the maximum value and the minimum value of the transformation ratios of all the current transformers at the two ends of the power supply end and the power selling end are obtained.
And secondly, acquiring the maximum transformation ratio and the minimum transformation ratio of the voltage transformer in all the transformation ratios of the voltage transformers at the power supply end and the power selling end. And obtaining the maximum value and the minimum value of all the voltage transformer transformation ratios at the two ends of the power supply end and the power selling end as the current transformer transformation ratio.
And then, calculating the decimal fraction rounding influence minimum degree, wherein the decimal fraction rounding influence minimum degree = digits after the point of the power supply sale quantity is a minimum transformation ratio of the current transformer and a minimum transformation ratio of the voltage transformer.
And finally, calculating the maximum influence degree of the decimal fraction, wherein the maximum influence degree of the decimal fraction = the number of digits after the decimal point of the electricity supply sale quantity, the maximum transformation ratio of the current transformer and the maximum transformation ratio of the voltage transformer.
And after the decimal fraction rounding influence minimum degree and the decimal fraction rounding influence maximum degree are calculated, whether the decimal fraction rounding influence is the decimal fraction rounding influence or not can be judged.
It should be noted that the above process of calculating the decimal fraction influence degree does not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiment of the present application.
S4, judging whether the relation between the absolute value of the line loss electric quantity and the decimal fraction accepting and rejecting influence degree in the same period meets a preset condition or not; if so, taking the decimal of the electricity sold by the electric quantity as an influencing factor influencing the abnormality of the line loss electricity in the same period;
the specific steps of judging whether the preset conditions are met are as follows: and judging whether the absolute value of the line loss electric quantity in the same period is between the minimum degree of decimal fraction selection and the maximum degree of decimal fraction selection and division influence.
That is, if the absolute value of the power loss in the same period is between the minimum degree of the power loss in the decimal place and the maximum degree of the power loss in the decimal place, it indicates that the power loss in the same period is abnormal due to the decimal place for selling power, and the influence can be ignored. If the absolute value of the line loss electric quantity in the same period is not between the decimal place influence minimum degree and the decimal place influence maximum degree, the fact that the factor causing the abnormal line loss electric quantity in the same period is not the decimal place for selling the electric quantity but other reasons is shown, and other reasons are checked at the moment.
The method can rapidly check whether the influence factors of the line loss abnormity are decimal fractions, provides an influence factor for checking, effectively improves checking efficiency and accuracy, and enables the data of the line loss in the same period to have higher analysis value.
Example two
As shown in fig. 2, on the basis of the first embodiment, the present embodiment provides an apparatus for checking line loss abnormality influence factors, and the method of the first embodiment is executed after the apparatus is operated.
The device comprises the following functional modules:
decimal point number obtaining module 101: acquiring digits after the electric quantity for sale is a decimal;
the transformer transformation ratio obtaining module 102: obtaining the transformation ratio of a current transformer and a voltage transformer at a power supply end, and the transformation ratio of the current transformer and the voltage transformer at a power selling end;
the influence degree calculation module 103: calculating decimal trade-off influence degree according to the acquired digit of the decimal point of the electricity supply sale quantity, the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, the electricity sale end current transformer transformation ratio and the voltage transformer transformation ratio;
influencing factor judging module 104: judging whether the relation between the absolute value of the line loss electric quantity and the decimal fraction accepting and rejecting influence degree in the same period meets a preset condition or not; if so, the influence factor influencing the abnormal line loss electricity quantity in the same period is chosen or chosen as the decimal of the electricity quantity for sale.
The influence degree calculation module 103 calculates the influence degree range through the maximum and minimum transformation ratio of the transformer so as to judge the subsequent influence factors. Specifically, the influence degree calculation module 103 includes the following sub-modules:
the current transformer extreme value transformation ratio obtaining submodule: acquiring the maximum transformation ratio and the minimum transformation ratio of a current transformer in all the transformation ratios of the current transformers at a power supply end and a power selling end;
the voltage transformer extreme value transformation ratio obtaining submodule: obtaining the maximum transformation ratio and the minimum transformation ratio of a voltage transformer in the transformation ratios of all voltage transformers at a power supply end and a power selling end;
the minimum influence degree calculation submodule is used for: calculating decimal fraction taking and rejecting influence minimum degree, wherein the decimal fraction taking and rejecting influence minimum degree = digits after the point of the electric quantity for sale, namely the minimum transformation ratio of the current transformer and the minimum transformation ratio of the voltage transformer;
the maximum influence degree calculation submodule: and calculating the maximum influence of decimal fraction, wherein the maximum influence of decimal fraction = the number of digits after the point of the decimal fraction of the electricity sold, the maximum transformation ratio of the current transformer and the maximum transformation ratio of the voltage transformer.
Correspondingly, the influence factor determination module 104 determines whether the relationship between the absolute value of the line loss electric quantity and the decimal place-taking influence degree at the same period meets a preset condition, specifically:
and judging whether the absolute value of the line loss electric quantity in the same period is between the minimum degree of decimal fraction selection and the maximum degree of decimal fraction selection and division influence.
That is, if the absolute value of the power loss in the same period is between the minimum degree of the power loss in the decimal place and the maximum degree of the power loss in the decimal place, it indicates that the power loss in the same period is abnormal due to the decimal place for selling power, and the influence can be ignored. If the absolute value of the line loss electric quantity in the same period is not between the decimal place influence minimum degree and the decimal place influence maximum degree, the fact that the factor causing the abnormal line loss electric quantity in the same period is not the decimal place for selling the electric quantity but other reasons is shown, and other reasons are checked at the moment.
EXAMPLE III
The present embodiments provide a terminal that includes a processor and a memory.
The memory is used for storing the execution instructions of the processor. The memory may be implemented by any type or combination of volatile or non-volatile memory terminals, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. The executable instructions in the memory, when executed by the processor, enable the terminal to perform some or all of the steps in the above-described method embodiments.
The processor is a control center of the storage terminal, connects various parts of the whole electronic terminal by using various interfaces and lines, and executes various functions of the electronic terminal and/or processes data by operating or executing software programs and/or modules stored in the memory and calling data stored in the memory. The processor may be composed of an Integrated Circuit (IC), for example, a single packaged IC, or a plurality of packaged ICs connected with the same or different functions.
Example four
The present embodiment provides a computer storage medium, wherein the computer storage medium may store a program, and the program may include some or all of the steps in the embodiments provided in the present invention when executed. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a Random Access Memory (RAM).
The above disclosure is only for the preferred embodiments of the present invention, but the present invention is not limited thereto, and any non-inventive changes that can be made by those skilled in the art and several modifications and amendments made without departing from the principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. A method for checking line loss abnormality influence factors is characterized by comprising the following steps:
s1, acquiring digits after the electric quantity sold is a decimal;
s2, obtaining the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, and the power selling end current transformer transformation ratio and the voltage transformer transformation ratio;
s3, calculating decimal influence degree according to the acquired digit number of the decimal point of the electricity supply, the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, the power sale end current transformer transformation ratio and the voltage transformer transformation ratio;
s4, judging whether the relation between the absolute value of the line loss electric quantity and the decimal fraction accepting and rejecting influence degree in the same period meets a preset condition or not; if so, the influence factor influencing the abnormal line loss electricity quantity in the same period is chosen or chosen as the decimal of the electricity quantity for sale.
2. The method for examining the line loss abnormality influencing factors according to claim 1, wherein the step S3 is specifically as follows:
acquiring the maximum transformation ratio and the minimum transformation ratio of a current transformer in all the transformation ratios of the current transformers at a power supply end and a power selling end;
obtaining the maximum transformation ratio and the minimum transformation ratio of a voltage transformer in the transformation ratios of all voltage transformers at a power supply end and a power selling end;
calculating decimal fraction taking and rejecting influence minimum degree, wherein the decimal fraction taking and rejecting influence minimum degree = digits after the point of the electric quantity for sale, namely the minimum transformation ratio of the current transformer and the minimum transformation ratio of the voltage transformer;
and calculating the maximum influence of decimal fraction, wherein the maximum influence of decimal fraction = the number of digits after the point of the decimal fraction of the electricity sold, the maximum transformation ratio of the current transformer and the maximum transformation ratio of the voltage transformer.
3. The method for examining abnormal line loss influence factors according to claim 2, wherein the step S4 is performed to determine whether a relationship between an absolute value of a current loss and a fractional influence degree in the same period meets a preset condition, and specifically includes:
and judging whether the absolute value of the line loss electric quantity in the same period is between the minimum degree of decimal fraction selection and the maximum degree of decimal fraction selection and division influence.
4. A device for checking line loss abnormal influence factors is characterized by comprising,
decimal point digit acquisition module: acquiring digits after the electric quantity for sale is a decimal;
the transformer transformation ratio acquisition module: obtaining the transformation ratio of a current transformer and a voltage transformer at a power supply end, and the transformation ratio of the current transformer and the voltage transformer at a power selling end;
the influence degree calculation module: calculating decimal trade-off influence degree according to the acquired digit of the decimal point of the electricity supply sale quantity, the power supply end current transformer transformation ratio and the voltage transformer transformation ratio, the electricity sale end current transformer transformation ratio and the voltage transformer transformation ratio;
influence factor judging module: judging whether the relation between the absolute value of the line loss electric quantity and the decimal fraction accepting and rejecting influence degree in the same period meets a preset condition or not; if so, the influence factor influencing the abnormal line loss electricity quantity in the same period is chosen or chosen as the decimal of the electricity quantity for sale.
5. The apparatus for troubleshooting the line loss abnormal influence factor as recited in claim 4, wherein the influence degree calculating module includes,
the current transformer extreme value transformation ratio obtaining submodule: acquiring the maximum transformation ratio and the minimum transformation ratio of a current transformer in all the transformation ratios of the current transformers at a power supply end and a power selling end;
the voltage transformer extreme value transformation ratio obtaining submodule: obtaining the maximum transformation ratio and the minimum transformation ratio of a voltage transformer in the transformation ratios of all voltage transformers at a power supply end and a power selling end;
the minimum influence degree calculation submodule is used for: calculating decimal fraction taking and rejecting influence minimum degree, wherein the decimal fraction taking and rejecting influence minimum degree = digits after the point of the electric quantity for sale, namely the minimum transformation ratio of the current transformer and the minimum transformation ratio of the voltage transformer;
the maximum influence degree calculation submodule: and calculating the maximum influence of decimal fraction, wherein the maximum influence of decimal fraction = the number of digits after the point of the decimal fraction of the electricity sold, the maximum transformation ratio of the current transformer and the maximum transformation ratio of the voltage transformer.
6. The apparatus according to claim 5, wherein the influence factor determining module determines whether a relationship between an absolute value of a line loss power and a decimal fraction selection influence degree at the same time meets a preset condition, specifically:
and judging whether the absolute value of the line loss electric quantity in the same period is between the minimum degree of decimal fraction selection and the maximum degree of decimal fraction selection and division influence.
7. A terminal, comprising:
a processor;
a memory for storing instructions for execution by the processor;
wherein the processor is configured to perform the method of any one of claims 1-3.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 3.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110364699.XA CN112798899A (en) | 2021-04-06 | 2021-04-06 | Method, device, terminal and storage medium for checking line loss abnormity influence factors |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110364699.XA CN112798899A (en) | 2021-04-06 | 2021-04-06 | Method, device, terminal and storage medium for checking line loss abnormity influence factors |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112798899A true CN112798899A (en) | 2021-05-14 |
Family
ID=75816337
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110364699.XA Pending CN112798899A (en) | 2021-04-06 | 2021-04-06 | Method, device, terminal and storage medium for checking line loss abnormity influence factors |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112798899A (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102279320A (en) * | 2011-04-13 | 2011-12-14 | 上海市电力公司 | Method for determining line loss rate reasonable range based on error analysis |
US20120062210A1 (en) * | 2010-09-13 | 2012-03-15 | Trilliant Networks, Inc. | Process for Detecting Energy Theft |
CN103399186A (en) * | 2013-07-31 | 2013-11-20 | 深圳供电局有限公司 | Method and device for identifying electricity stealing and leakage users based on line loss monitoring |
CN104239692A (en) * | 2014-08-22 | 2014-12-24 | 国家电网公司 | Energy meter data accuracy compensation algorithm-based line loss abnormality judging method |
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 |
CN110174577A (en) * | 2019-07-05 | 2019-08-27 | 广东电网有限责任公司 | It is a kind of for 10kV and in the line loss anomalous discrimination method of Up Highway UHW |
CN110320445A (en) * | 2019-07-05 | 2019-10-11 | 广东电网有限责任公司 | It is a kind of for 110kV and in the line loss anomalous discrimination method of Up Highway UHW |
-
2021
- 2021-04-06 CN CN202110364699.XA patent/CN112798899A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120062210A1 (en) * | 2010-09-13 | 2012-03-15 | Trilliant Networks, Inc. | Process for Detecting Energy Theft |
CN102279320A (en) * | 2011-04-13 | 2011-12-14 | 上海市电力公司 | Method for determining line loss rate reasonable range based on error analysis |
CN103399186A (en) * | 2013-07-31 | 2013-11-20 | 深圳供电局有限公司 | Method and device for identifying electricity stealing and leakage users based on line loss monitoring |
CN104239692A (en) * | 2014-08-22 | 2014-12-24 | 国家电网公司 | Energy meter data accuracy compensation algorithm-based line loss abnormality judging method |
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 |
CN110174577A (en) * | 2019-07-05 | 2019-08-27 | 广东电网有限责任公司 | It is a kind of for 10kV and in the line loss anomalous discrimination method of Up Highway UHW |
CN110320445A (en) * | 2019-07-05 | 2019-10-11 | 广东电网有限责任公司 | It is a kind of for 110kV and in the line loss anomalous discrimination method of Up Highway UHW |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7324982B2 (en) | Method and apparatus for automated debug and optimization of in-circuit tests | |
CN116743079A (en) | Photovoltaic string fault processing method and device, photovoltaic management system and medium | |
CN111537793B (en) | Power consumption testing method and system of mobile terminal | |
CN110707657B (en) | Overcurrent protection setting method, overcurrent protection method and device | |
CN112798899A (en) | Method, device, terminal and storage medium for checking line loss abnormity influence factors | |
CN109975607B (en) | Power distribution station area capacity identification method and device, storage medium and electronic equipment | |
CN109375145B (en) | Voltage loss fault monitoring method and device based on three-phase three-wire meter equipment | |
US11686768B2 (en) | System and method of testing single DUT through multiple cores in parallel | |
CN113376564B (en) | Smart electric meter metering correction method and device based on data analysis and terminal | |
CN111624430B (en) | Capacitor life online monitoring method and device and terminal equipment | |
CN115372752A (en) | Fault detection method, device, electronic equipment and storage medium | |
CN111239523B (en) | Frequency converter testing system, method and device and storage medium | |
CN111146756B (en) | Protection constant value checking method and system | |
CN109657806A (en) | A kind of air control management method, device and electronic equipment based on vehicle diagnostic equipment | |
CN111341477A (en) | Nuclear power plant safety power supply renovation and maintenance method and device | |
CN111026307B (en) | Method and device for quickly associating graphics primitives in graphics configuration tool | |
CN109255450B (en) | Method and system for online intelligent fixed value management of power fault recorder and computer readable storage medium | |
CN116977119A (en) | Voltage qualification rate statistical method and device, power terminal and storage medium | |
CN117688521A (en) | Nuclear power plant electric instrument configuration method, storage medium and control equipment | |
CN114816938A (en) | Server aging program monitoring method, device, terminal and storage medium | |
CN114723789A (en) | Python-based LED spectrometer calibration method, system and platform | |
CN115392859A (en) | Power factor checking method and device, electronic equipment and storage medium | |
CN117538814A (en) | Method, device, equipment and medium for judging faults of three-phase four-wire intelligent electric energy meter | |
CN114460340A (en) | Bus unbalance rate calibration method, device and medium | |
CN115563188A (en) | Transformer wire parameter evaluation method and device, terminal equipment and storage medium |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210514 |