CN110047013B - Anti-private-transformer user intermittent electricity stealing method - Google Patents
Anti-private-transformer user intermittent electricity stealing method Download PDFInfo
- Publication number
- CN110047013B CN110047013B CN201810035653.1A CN201810035653A CN110047013B CN 110047013 B CN110047013 B CN 110047013B CN 201810035653 A CN201810035653 A CN 201810035653A CN 110047013 B CN110047013 B CN 110047013B
- Authority
- CN
- China
- Prior art keywords
- stealing
- line
- special transformer
- power supply
- power
- 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.)
- Active
Links
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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas 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
Abstract
The invention provides an anti-private-transformer user intermittent electricity stealing method, which comprises the following steps: (1) the solar line loss rate delta P data of each high-voltage power supply line containing special-change users in the jurisdiction area is monitored by a power supply department power consumption information acquisition system with month as a period; (2) calculating the fluctuation index delta P of the solar line loss rate of each high-voltage power supply line containing special transformer users bd According to the criterion, suspected to have a target line of a discontinuous electricity stealing special transformer user; (3) determining a line loss rate mutation time point of a target line; (4) extracting suspected electricity stealing special change users on a target line; (5) screening and locking the power stealing special transformer users from the extracted suspected power stealing special transformer users; (6) and calculating the additional electricity stealing quantity needed by the locked electricity stealing special transformer user. The invention can timely and accurately lock the intermittent power stealing special transformer users on the power supply line and can conveniently calculate the power stealing amount needed to be supplemented by the power stealing special transformer users.
Description
Technical Field
The invention relates to a power supply part anti-electricity-stealing method, in particular to an anti-private-transformer user intermittent-type electricity-stealing method.
Background
Anti-theft has been an important task for the power sector. The traditional anti-electricity-stealing method of the power supply department mainly relies on inspection and inspection patrols to find electricity-stealing clues through on-site inspection of electric power users, the efficiency is low, timeliness and effectiveness of the anti-electricity-stealing are obviously not suitable for requirements, especially, once electricity is stolen by a special transformer user, the traditional method is more difficult to find out by utilizing the existing means, because equipment such as a transformer and the like of the special transformer user is customer assets, the installation position of a metering device is in a user jurisdiction range, and professional electricians with corresponding electric knowledge are mostly configured, so that the electricity-stealing behavior of the special transformer user is more concealed and professional, and the intermittent electricity-stealing method is mostly adopted, and once the electricity-stealing behavior occurs, the electricity-stealing quantity is large and the hazard is serious.
In recent years, an anti-intermittent electricity stealing method has been studied, for example, a Chinese patent document with publication number of CN103455855B discloses an anti-intermittent electricity stealing detection method based on electricity consumption data analysis, which has the following problems: firstly, the calculation method is complex, takes long time and has certain limitation, secondly, the method is only suitable for detecting the intermittent electricity stealing behavior of meter electricity loss; thirdly, the function of automatically calculating the electricity stealing amount is not provided.
In recent years, with the strong promotion of smart grid construction of a national grid company, an Open3000 system, a D5000 system (an upgrade version of Open 3000), an electricity consumption acquisition system and a marketing system are built and put into operation successively, and real-time and non-real-time information of a grid is highly integrated, shared and utilized, so that comprehensive, complete and fine power service data flows are provided for operation and management personnel of the grid at all levels. The power supply management department can inquire real-time data and historical data such as current, voltage, electric quantity and the like of a power supply line through an Open3000 system and/or a D5000 system; the power consumption information acquisition system can conveniently inquire real-time and historical power consumption data information such as daily loss electric quantity, line loss rate, electric quantity, current, voltage and the like of each power user of the power supply line, and the marketing system can conveniently inquire basic information such as contract capacity, user position, identity and the like of the power user. How to effectively utilize the system and the information and construct a timely and effective intermittent electricity stealing method for anti-private-transformer users is a technical problem which is solved by the current power supply department.
Disclosure of Invention
The purpose of the invention is that: the intermittent electricity stealing method for the anti-private transformer user can timely and accurately lock the intermittent electricity stealing private transformer user on the power supply line and can conveniently calculate the electricity stealing quantity required to be supplemented by the electricity stealing private transformer user.
The technical scheme of the invention is as follows: the invention relates to an anti-private-transformation user intermittent electricity stealing method, which comprises the following steps of:
(1) the solar line loss rate delta P data of each high-voltage power supply line containing special-change users in the jurisdiction area is monitored by a power supply department power consumption information acquisition system with month as a period;
(2) calculating the daily line loss rate fluctuation index delta P of each high-voltage power supply line containing special-change users by using the method (2) bd If a high-voltage power supply line containing a special transformer user appears delta P bd And (3) extracting the high-voltage power supply line containing the special transformer user as a target line suspected of being provided with the intermittent power stealing special transformer user:
△P bd ＝△P max -△P min (2)
wherein DeltaP max For the month maximum solar line loss rate of the high-voltage power supply line, delta P min The month minimum solar line loss rate of the high-voltage power supply line;
(3) determining the line loss rate mutation time point of the target line:
firstly, acquiring daily power supply quantity and daily sales quantity data of a target line from a power supply department D5000 system or an Open3000 system, acquiring daily line loss rate data of the target line from a power supply department power consumption information acquisition system, and drawing a line loss rate characteristic diagram of the target line;
secondly, determining a line loss mutation day D of the target line by using the drawn line loss rate characteristic diagram of the target line;
(4) extracting suspected electricity stealing special change users on a target line:
firstly, the daily electricity quantity data of each special-purpose change user on a target line are called from an electricity consumption information acquisition system of a power supply department;
secondly, calculating the power consumption sudden drop index delta W of each special transformer user on the target line on the line loss mutation day D by adopting the formula (3), and if the delta W of one special transformer user is more than or equal to 1000 kilowatt hours, extracting the special transformer user as a suspected power stealing special transformer user:
△W＝W D-1 - W D (3)
in which W is D The electricity consumption collected on line loss mutation day D for the special transformer users; w (W) D-1 The power consumption collected on the previous day of the line loss mutation day D is used for a special transformer user;
(5) screening and locking the power stealing special transformer users from the extracted suspected power stealing special transformer users:
firstly, a target line of line loss mutation day D and 24-hour current data of suspected power stealing special transformer users are called from a power supply department power consumption information acquisition system, and target line current i is synchronously sampled at intervals of 5 minutes n And suspected fraudulent use of electricity specially changing user current I n ；
Secondly, calculating a current dip value delta I of a suspected power-stealing special transformer user on line loss mutation day D by adopting a formula (4) n The method comprises the steps of carrying out a first treatment on the surface of the Calculating the current drop percentage K of the suspected power-stealing special transformer user on the line loss mutation day D by adopting the method (5) n ：
△I n ＝I n-1 -I n (4)
Wherein I is n The current sampling current value of the suspected power stealing special transformer user on the power suddenly-reduced day is I n-1 For suspected power stealing special change user on power suddenly-reduced day and current sampling current value I n Adjacent last sampling current value;
third, if a suspected electricity stealing special transformer user appears delta I n 15 amperes or K n If 10% or more, then calculate the ΔI n The current i of the power supply line to which the time point of occurrence belongs, namely the target line n If the power supply line is at the delta I n Current i at the point of occurrence n Delta I does not appear at the change value of (2) n The suspected electricity stealing special change user is locked to be an electricity stealing special change user when the current of the current suddenly drops;
(6) calculating the additional electricity stealing quantity needed by the locked electricity stealing special transformer user by using the formula (6) and the formula (7):
wherein: eta is the electricity stealing proportion of the special transformer user, and delta I is delta I calculated in the step (5) n Maximum of values, I T The current value W is collected by a power stealing special transformer user after the current is suddenly reduced F For collecting the electric quantity of the power stealing period of the special transformer user, starting from the selected current sudden drop time point to the end of the current sudden rise time point, W Q Additional charge is needed for the period of charge theft.
The invention has the positive effects that: the intermittent electricity stealing method for the anti-private transformer user can accurately and automatically identify and lock the intermittent electricity stealing private transformer user on the power supply line by analyzing the related historical data of the power supply department, can rapidly, conveniently and accurately determine the electricity stealing quantity required to be supplemented by the intermittent electricity stealing private transformer user, and has higher accuracy and reliability.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a schematic diagram of a line loss characteristic of a target line of a suspected intermittent power stealing private transformer user.
Detailed Description
The invention will be described in further detail with reference to the drawings and the detailed description.
Example 1
Referring to fig. 1, the anti-private-transformer user intermittent electricity stealing method of the embodiment is implemented by the following steps:
(1) the solar line loss rate delta P data of each high-voltage power supply line containing special transformer users in the jurisdiction are monitored by the existing power consumption information acquisition system of the power supply department with the month as the period:
in which W is xg Daily power supply quantity for the high-voltage power supply line; w (W) xs Daily electricity sales for high-voltage power supply lines; the solar line loss rate delta P data of each high-voltage power supply line can be directly obtained from a power supply department through the existing power consumption information acquisition system.
(2) Calculating the daily line loss rate fluctuation index delta P of each high-voltage power supply line containing special-change users by using the method (2) bd If a certain high-voltage power supply line DeltaP bd More than or equal to 3 percent, the high-voltage power supply line is extracted to be a target line of a suspected intermittent electricity stealing special transformer user:
△P bd ＝△P max -△P min (2)
wherein DeltaP bd Delta P is the fluctuation value of the solar line loss rate of the high-voltage power supply line max For the month maximum solar line loss rate of the high-voltage power supply line, delta P min The month minimum daily line loss rate of the high-voltage power supply line is obtained.
(3) Determining the line loss rate mutation time point of the target line:
firstly, acquiring daily power supply quantity and daily sales quantity data of a target line from an existing D5000 system or an existing Open3000 system of a power supply department, acquiring daily line loss rate data of the target line from an existing power consumption information acquisition system of the power supply department, and drawing a line loss rate characteristic diagram of the target line, wherein the drawn line loss rate characteristic diagram of the target line is shown as a figure 2;
and secondly, determining the line loss mutation day D of the target line by using the drawn line loss rate characteristic diagram of the target line.
(4) Extracting suspected electricity stealing special change users on a target line:
firstly, the daily electricity quantity data of each special-purpose change user on a target line are called from the existing electricity consumption information acquisition system of a power supply department;
secondly, calculating the power consumption sudden drop index delta W of each special transformer user on the target line on the line loss mutation day D by adopting the formula (3), and if the delta W of one special transformer user is more than or equal to 1000 kilowatt hours, extracting the special transformer user as a suspected power stealing special transformer user:
△W＝W D-1 - W D (3)
in which W is D The electricity consumption collected on line loss mutation day D for the special transformer users; w (W) D-1 The power consumption collected on the day before the line loss mutation day D is used for a special transformer user.
(5) Screening and locking the power stealing special transformer users from the suspected power stealing special transformer users of the extracted target line:
firstly, a target line of line loss mutation day D and 24-hour current data of suspected power stealing special change users are called from an existing power consumption information acquisition system of a power supply department, and target line current i is synchronously sampled at intervals of 5 minutes n And suspected fraudulent use of electricity specially changing user current I n ；
Secondly, calculating a current dip value delta I of a suspected power-stealing special transformer user on line loss mutation day D by adopting a formula (4) n The method comprises the steps of carrying out a first treatment on the surface of the Calculating the current drop percentage K of the suspected power-stealing special transformer user on the line loss mutation day D by adopting the method (5) n ：
△I n ＝I n-1 -I n (4)
Wherein I is n The current sampling current value of the suspected power stealing special transformer user on the power suddenly-reduced day is I n-1 For suspected power stealing special change user on power suddenly-reduced day and current sampling current value I n Adjacent last sampling current value;
third, if a suspected electricity stealing special transformer user appears delta I n 15 amperes or K n If 10% or more, then calculate the ΔI n The current i of the power supply line to which the time point of occurrence belongs, namely the target line n If the power supply line is at the delta I n Current i at the point of occurrence n Delta I does not appear at the change value of (2) n And (3) locking the suspected power-stealing special-purpose change user into the power-stealing special-purpose change user when the current suddenly drops.
(6) Calculating the additional electricity stealing quantity needed by the locked electricity stealing special transformer user by using the formula (6) and the formula (7):
wherein: eta is the electricity stealing proportion of the special transformer user, and delta I is delta I calculated in the step (5) n Maximum of values, I T The current value W is collected by a power stealing special transformer user after the current is suddenly reduced F For collecting the electric quantity of the power stealing period of the special transformer user, starting from the selected current sudden drop time point to the end of the current sudden rise time point, W Q Additional charge is needed for the period of charge theft.
The above embodiments are illustrative of the specific embodiments of the present invention, and not restrictive, and various changes and modifications may be made by those skilled in the relevant art without departing from the spirit and scope of the invention, and all such equivalent technical solutions are intended to be included in the scope of the invention.
Claims (1)
1. The intermittent electricity stealing method for the anti-private transformer user is characterized by comprising the following steps of:
(1) the solar line loss rate delta P data of each high-voltage power supply line containing special-change users in the jurisdiction area is monitored by a power supply department power consumption information acquisition system with month as a period;
(2) calculating the daily line loss rate fluctuation index delta P of each high-voltage power supply line containing special-change users by using the method (2) bd If a high-voltage power supply line containing a special transformer user appears delta P bd And (3) extracting the high-voltage power supply line containing the special transformer user as a target line suspected of being provided with the intermittent power stealing special transformer user:
△P bd ＝△P max -△P min (2)
wherein DeltaP max For the month maximum solar line loss rate of the high-voltage power supply line, delta P min The month minimum solar line loss rate of the high-voltage power supply line;
(3) determining the line loss rate mutation time point of the target line:
firstly, acquiring daily power supply quantity and daily sales quantity data of a target line from a power supply department D5000 system or an Open3000 system, acquiring daily line loss rate data of the target line from a power supply department power consumption information acquisition system, and drawing a line loss rate characteristic diagram of the target line;
secondly, determining a line loss mutation day D of the target line by using the drawn line loss rate characteristic diagram of the target line;
(4) extracting suspected electricity stealing special change users on a target line:
firstly, the daily electricity quantity data of each special-purpose change user on a target line are called from an electricity consumption information acquisition system of a power supply department;
secondly, calculating the power consumption sudden drop index delta W of each special transformer user on the target line on the line loss mutation day D by adopting the formula (3), and if the delta W of one special transformer user is more than or equal to 1000 kilowatt hours, extracting the special transformer user as a suspected power stealing special transformer user:
△W＝W D-1 -W D (3)
in which W is D The electricity consumption collected on line loss mutation day D for the special transformer users; w (W) D-1 The power consumption collected on the previous day of the line loss mutation day D is used for a special transformer user;
(5) screening and locking the power stealing special transformer users from the extracted suspected power stealing special transformer users:
firstly, a target line of line loss mutation day D and 24-hour current data of suspected power stealing special transformer users are called from a power supply department power consumption information acquisition system, and target line current i is synchronously sampled at intervals of 5 minutes n And suspected fraudulent use of electricity special change user current I n ；
Secondly, calculating a current dip value delta I of a suspected power-stealing special transformer user on line loss mutation day D by adopting a formula (4) n The method comprises the steps of carrying out a first treatment on the surface of the Calculating the current drop percentage K of the suspected power-stealing special transformer user on the line loss mutation day D by adopting the method (5) n ：
△I n ＝Ι n-1 -I n (4)
In I n The current sampling current value of the suspected power stealing special transformer user on the power suddenly-reduced day is I n-1 For suspected power stealing special transformer user on power suddenly-reduced day and current sampling current value I n Adjacent last sampling current value;
third, if a suspected electricity stealing special transformer user appears delta I n 15 amperes or K n If not less than 10%, then calculate ΔI n The current i of the power supply line, i.e. the target line, to which the above situation belongs n If the power supply line is at DeltaI n Current i when the above situation occurs n Delta I does not appear at the change value of (2) n The suspected electricity stealing special change user is locked to be an electricity stealing special change user when the current of the current suddenly drops;
(6) calculating the additional electricity stealing quantity needed by the locked electricity stealing special transformer user by using the formula (6) and the formula (7):
wherein: eta is the electricity stealing proportion of the special transformer user, and delta I is delta I calculated in the step (5) n Maximum of values, I T The current value W is collected by a power stealing special transformer user after the current is suddenly reduced F For collecting the electric quantity of the power stealing period of the special transformer user, starting from the selected current sudden drop time point to the end of the current sudden rise time point, W Q Additional charge is needed for the period of charge theft.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810035653.1A CN110047013B (en) | 2018-01-15 | 2018-01-15 | Anti-private-transformer user intermittent electricity stealing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810035653.1A CN110047013B (en) | 2018-01-15 | 2018-01-15 | Anti-private-transformer user intermittent electricity stealing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110047013A CN110047013A (en) | 2019-07-23 |
| CN110047013B true CN110047013B (en) | 2023-06-13 |
Family
ID=67273315
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810035653.1A Active CN110047013B (en) | 2018-01-15 | 2018-01-15 | Anti-private-transformer user intermittent electricity stealing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110047013B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111443237B (en) * | 2020-04-20 | 2022-07-12 | 北京中电普华信息技术有限公司 | Method and system for determining compensation electric quantity |
| CN111650432A (en) * | 2020-07-14 | 2020-09-11 | 国网冀北电力有限公司 | Line loss-based electricity stealing determination method and device |
| CN113311379A (en) * | 2021-05-26 | 2021-08-27 | 国网江苏省电力有限公司营销服务中心 | Low-voltage electricity stealing intelligent diagnosis method based on big data |
| CN116070162B (en) * | 2023-03-06 | 2023-08-29 | 国网浙江省电力有限公司宁波供电公司 | Anti-electricity-stealing monitoring method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004340767A (en) * | 2003-05-16 | 2004-12-02 | Hitachi Ltd | Electric power transaction method and electric power transaction system prevented in stealing electricity |
| CN103076476A (en) * | 2012-12-18 | 2013-05-01 | 广东电网公司汕头供电局 | On-line monitoring method of primary side shunt electric stealing of CT (current transformer) of 10kV special variable metering device |
| 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 |
| CN105590166A (en) * | 2015-12-16 | 2016-05-18 | 国家电网公司 | Analytical judgment method for power consumption behavior of specific power transformer user in power distribution network |
| CN106156269A (en) * | 2016-06-01 | 2016-11-23 | 国网河北省电力公司电力科学研究院 | One is opposed electricity-stealing precise positioning on-line monitoring method |
| CN106645935A (en) * | 2016-12-27 | 2017-05-10 | 国网浙江象山县供电公司 | Electricity usage monitoring method and system |
-
2018
- 2018-01-15 CN CN201810035653.1A patent/CN110047013B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004340767A (en) * | 2003-05-16 | 2004-12-02 | Hitachi Ltd | Electric power transaction method and electric power transaction system prevented in stealing electricity |
| CN103076476A (en) * | 2012-12-18 | 2013-05-01 | 广东电网公司汕头供电局 | On-line monitoring method of primary side shunt electric stealing of CT (current transformer) of 10kV special variable metering device |
| 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 |
| CN105590166A (en) * | 2015-12-16 | 2016-05-18 | 国家电网公司 | Analytical judgment method for power consumption behavior of specific power transformer user in power distribution network |
| CN106156269A (en) * | 2016-06-01 | 2016-11-23 | 国网河北省电力公司电力科学研究院 | One is opposed electricity-stealing precise positioning on-line monitoring method |
| CN106645935A (en) * | 2016-12-27 | 2017-05-10 | 国网浙江象山县供电公司 | Electricity usage monitoring method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110047013A (en) | 2019-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110047013B (en) | Anti-private-transformer user intermittent electricity stealing method | |
| CN110097297B (en) | Multi-dimensional electricity stealing situation intelligent sensing method, system, equipment and medium | |
| CN110749784B (en) | Line electricity stealing detection method based on electric power data wavelet analysis | |
| Han et al. | NFD: A practical scheme to detect non-technical loss fraud in smart grid | |
| CN103208091A (en) | Electric larceny preventing method based on data mining of electric load management system | |
| CN104407268A (en) | Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current | |
| CN110045194B (en) | Anti-electricity-stealing method for high-voltage power supply line | |
| KR20150056583A (en) | Methods and systems for estimating recoverable utility revenue | |
| CN107328974B (en) | Electricity stealing identification method and device | |
| CN108765004A (en) | A method of user's electricity stealing is identified based on data mining | |
| CN111652761B (en) | Multi-source feature fusion electricity stealing behavior detection method based on evidence theory | |
| CN106872776B (en) | A kind of substation's background harmonics appraisal procedure | |
| CN110739686A (en) | distribution room line loss management method and system based on summary chart anomaly analysis | |
| CN115270974B (en) | Intelligent electricity larceny detection system based on big data analysis | |
| US20150088441A1 (en) | Energy usage estimation device and energy usage estimation method | |
| CN109142830A (en) | Stealing detection method based on power information acquisition system big data | |
| CN106685086B (en) | Remote power utilization management system | |
| CN109829652B (en) | Long-time scale dynamic harmonic responsibility division method | |
| CN105974220A (en) | Residential community power load identification system | |
| Khazaee et al. | Distribution loss reduction in residential and commercial pilots by using AMI system | |
| Zhang et al. | Research on comprehensive diagnosis model of anti-stealing electricity based on big data technology | |
| CN116070162B (en) | Anti-electricity-stealing monitoring method and system | |
| CN110045196B (en) | High-voltage power supply line management line loss checking method | |
| Li et al. | Implementation of load profile test for electricity distribution networks | |
| CN110045165B (en) | Anti-private transformer user continuous electricity stealing method |
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 |