CN113933585A - Detection method for zero-breaking electricity-stealing users in electricity leakage platform area based on Euclidean distance - Google Patents

Detection method for zero-breaking electricity-stealing users in electricity leakage platform area based on Euclidean distance Download PDF

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CN113933585A
CN113933585A CN202111428383.9A CN202111428383A CN113933585A CN 113933585 A CN113933585 A CN 113933585A CN 202111428383 A CN202111428383 A CN 202111428383A CN 113933585 A CN113933585 A CN 113933585A
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residual current
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苏盛
赖志强
李彬
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Changsha University of Science and Technology
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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    • G01R22/06Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
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Abstract

A zero-breaking electricity-stealing user detection method for an electricity-leakage transformer area based on Euclidean distance aims at the problem that when low-voltage residents break zero and steal electricity, load current is converted into residual current of a power distribution transformer area to cause electricity leakage and endanger personal safety. Firstly, identifying a station area with excessive residual current as a leakage station area; then obtaining residual current data of the electric leakage transformer area and load current data of each access user, and constructing a unit time residual current time sequence of the transformer area and a unit time load current time sequence of each access user; and calculating the Euclidean distance between the load current time sequence of each user in unit time and the residual current time sequence of the transformer area in unit time, and identifying the user with the minimum Euclidean distance value as an abnormal user with zero interruption and electricity stealing in the electric leakage transformer area. The electricity utilization inspection is carried out aiming at the abnormal users, and the safety wind of resident electric shock people caused by electric leakage caused by zero-cut electricity stealing users is eliminated in time.

Description

Detection method for zero-breaking electricity-stealing users in electricity leakage platform area based on Euclidean distance
Technical Field
The invention relates to the field of low-voltage distribution network electricity stealing and electric leakage detection and analysis, in particular to a method for analyzing, detecting and positioning a zero-breaking electricity stealing user based on the residual current abnormality of a transformer area by Euclidean distance so as to position and identify the zero-breaking electricity stealing user in the transformer area.
Background
In the low voltage distribution transformer area, distribution lines and consumer electric leakage cause the people to get an electric shock easily, all can cause a large amount of casualty accidents each year. Conventionally, residual current operated protection devices are generally installed at a main power supply end, a branch line head end and a line tail end to form three-level protection, the operating current value of each level of residual current operated protection device is coordinated with the operating time, the rated residual current operating value of a next level is not larger than that of a previous level, and the rated breaking time and the non-driving time of the previous level are larger than those of the next level, so that the grading protection with the operation selection is realized. The hierarchical protection is based on the last-stage protection, is the most effective one-stage backup protection for preventing personal electric shock injury accidents, and in fact, residual current or electric shock accidents frequently occur on terminal electric equipment, and the low-voltage transformer area electric leakage mainly depends on three-stage electric leakage protection action to cut off an electric circuit due to faults such as broken wires, tree obstacle touch wires, porcelain bottle damage or aged circuit soaking on a circuit. A considerable amount of old electric equipment and electric lines in the residential area are seriously aged, which causes frequent false operations of the residual current protector. In order to avoid frequent actions of leakage protection, the situation that residents quit the terminal residual current action protection device of the transformer area privately or rated residual current action values are greatly improved often occurs, and great hidden dangers are buried for the occurrence of personal casualty accidents caused by leakage.
The leakage protection is a single execution device, and cannot provide more electricity utilization information for the low-voltage distribution station area. The new generation of IR46 standard smart meters adopt a multi-core modular design, which can include modules such as residual current monitoring and broadband carrier communication. The intelligent electric meter integrated with the residual current monitoring module can uninterruptedly monitor and record the residual current on line, and compared with the leakage protection, the intelligent electric meter can provide more abundant fluctuation change information of the residual current in the low-voltage transformer area. The smart meter integrated with the residual current monitoring module is mainly installed on a distribution transformer of a low-voltage transformer area due to the cost factor. Because the broadband carrier module is low in price, the low-voltage resident user intelligent electric meter is integrated with the broadband carrier module, and can report metering data such as active electric quantity and reactive electric quantity and measuring data such as active power, reactive power, power factor, voltage, current, frequency and harmonic content at intervals of 15 min. The data can be sent to an intelligent terminal of a background system of a metering and marketing center or a low-voltage distribution room, the data collected by low-voltage residential users and intelligent electric meters of the distribution room are mined and analyzed in a cloud mode or an edge calculation mode at the intelligent terminal, abnormal users with excessive residual currents in the distribution room are identified, and the power supply safety of the low-voltage distribution room is improved.
The 'zero-breaking' electricity stealing is a common electricity stealing method for low-voltage resident users, users cut off the zero line incoming line of the electricity meter at the house-entering position, then self-set the zero line or form the electricity using loop through the protective earth wire indoors, the state switching can be carried out through the back-off switch for the hidden behavior, the method does not damage the wiring terminal of the electricity meter, the current coil of the electricity meter works normally, if the users need the normal metering of the electricity meter, only the cut-off zero line of the electricity meter needs to be connected into the self-set zero line or the protective earth wire, the voltage coil of the electricity meter obtains the voltage again, and the metering work is recovered. When a user uses a tap water pipe as a ground wire for zero-breaking electricity stealing, the water pipe of the building is electrified, and personal safety of residents in the same building is endangered; when a user uses the protective ground wire as a ground wire for zero-breaking electricity stealing, the protective ground wire passes through large load current for a long time and is easy to cause overcurrent burning of a grounding terminal, so that the grounding protection of the protective ground wire is lost in the whole transformer area, the metal shell of electrical equipment connected with the protective ground wire in the whole transformer area is electrified, and an electric shock accident is very easy to cause and personal casualty is caused. The zero-breaking electricity stealing is frequently generated in the low-voltage distribution system, and the detection and identification of the zero-breaking electricity stealing users in the low-voltage distribution area have important practical significance for guaranteeing safe electricity utilization.
Usually, the residual current action value of the head end of the distribution transformer of the low-voltage transformer area for leakage protection, namely the total protection of the circuit, is set to be 150 mA. Because the lines and the electric equipment are not absolutely insulated and have certain leakage current, the residual current of the low-voltage distribution area is kept fluctuating below a 150mA level under the normal condition. When low-voltage users in the transformer area steal electricity in a 'zero breaking' mode, the load current of the users flows through a self-set zero line or a protective earth wire to form an electricity circuit and does not flow back from a distribution transformer zero line any more, and at the moment, the load current of the zero breaking electricity stealing users is completely converted into the residual current of the transformer area. When the user does not steal electricity by cutting off zero, the residual current monitored by the distribution transformer intelligent ammeter is the residual current below the 150mA level when the line and the electric equipment normally operate; when the user conducts zero-breaking electricity stealing, the residual current monitored by the distribution transformer intelligent electric meter is superposed with the load current of the zero-breaking electricity stealing user on the basis of the normal operation residual current of the line and the electric equipment. Because the load current of the zero-breaking electricity-stealing users often exceeds 150mA, the zero-breaking electricity-stealing users can cause the electric leakage of the transformer area and the electric leakage protection at the head end of the distribution transformer to trip, and can not provide further analysis information.
The load current of the zero-breaking electricity-stealing user is usually far larger than 150mA, and when the residual current of the transformer area exceeds the residual current action setting value of the head-end electric leakage protection 150mA due to zero-breaking electricity-stealing of the low-voltage users in the transformer area, the main component of the residual current is the load current of the zero-breaking electricity-stealing user. The method has the advantages that the distance analysis can be carried out on the time sequence formed by the load current data and the transformer area residual current data acquired by the intelligent electric meters of all users connected into the low-voltage transformer area, the user with the shortest distance between the load current time sequence and the transformer area residual current time sequence in the transformer area access users is judged to be a suspected user with zero-cut electricity stealing, and the field inspection is carried out by professional maintainers, so that the field inspection work of the maintainers is reduced, and the working efficiency is greatly improved.
The invention content is as follows:
the invention aims to provide a detection method for a power leakage station area zero-breaking electricity stealing user based on the Euclidean distance so as to overcome the defect that a rapid and efficient identification method for the power leakage station area zero-breaking electricity stealing user is lacked in the conventional electricity leakage monitoring system.
In order to achieve the purpose, the invention adopts the following technical scheme: a detection method for zero-breaking electricity-stealing users in an electricity leakage platform area based on Euclidean distance comprises the following steps:
the method comprises the following steps: judging whether the power distribution area has electric leakage or not according to the residual current detection value of the power distribution area intelligent terminal;
step two: acquiring unit time residual current data of a power leakage transformer area and unit time load current data of each access user in one day, and constructing a unit time residual current time sequence of the power leakage transformer area and a unit time load current time sequence of each access user;
in the above-mentioned leakage block, the block residual current time sequence Y ═ Y1,Y2,…,YnThe load current time sequence X of each subordinate access useri={Xi1,Xi2,…XinN is the number of elements in the time sequence, and i is the number of users in the station area;
step three: calculating the Euclidean distance between the load current time sequence of each access user in unit time and the residual current time sequence of the leakage transformer area in unit time;
step four: and comparing the Euclidean distance values of the users, judging the user with the minimum Euclidean distance as the user with the suspected zero-break electricity stealing, and arranging the inspection personnel to check at home.
In the first step, the determination of the electric leakage transformer area can be determined according to residual current data measured by the transformer area intelligent electric meter integrated with the residual current monitoring module. Under normal conditions, the residual current in a low-voltage distribution area is kept below a 150mA level, and the residual current in the area often greatly exceeds 150mA under the condition of electric leakage caused by zero-breaking electricity stealing.
And in the first step, according to the obtained residual current data of the transformer area, marking the transformer area with the residual current exceeding 150mA level in the continuous time of more than half an hour as an electric leakage transformer area.
In the second step, the residual current data of the transformer area and the load current data of each accessed user are measured through a novel HPLC intelligent electric meter and uploaded to a background system of the power consumption information acquisition system or an intelligent terminal of the transformer area.
In the second step, the unit time is a specific time period. The unit time may be set to 15 minutes, 30 minutes, 60 minutes, or the like, according to the meter measurement data. The time interval of the data measured by the novel intelligent electric meter is 15 minutes, the user load current data acquired on a single day is 96-point current data, and a unit time residual current time sequence of a transformer area and unit time load current time sequences of all connected users are established on the basis of the data.
The method comprises the steps of obtaining residual current data of a unit time of a power leakage station area in one day and load current data of each accessed user in the unit time after the power leakage station area is determined, constructing a residual current time sequence of the unit time of the power leakage station area and a load current time sequence of each accessed user in the unit time, calculating the Euclidean distance between the load current time sequence of each user in the unit time and the residual current time sequence of the station area in the unit time, comparing the Euclidean distance between the load current time sequence of each user in the unit time and the residual current time sequence of the station area in the unit time, and judging a user with the minimum Euclidean distance as a user with the suspected zero-break electricity stealing.
And regarding the power distribution area with the residual current exceeding the action value of the head end protection rated residual current as a power leakage power distribution area, and detecting and identifying zero-breaking electricity stealing users in the power leakage power distribution area. When the 'zero-breaking' electricity stealing situation occurs to subordinate users in the platform area, the load current of the users flows through the self-provided zero line or the protective earth wire to form an electricity using loop and does not return from the distribution transformer zero line any more, and at the moment, the load current of the zero-breaking electricity stealing users is completely converted into the residual current of the platform area, so that the residual current curve form and the load current curve form of the zero-breaking electricity stealing users have higher correlation. When the residual current of the transformer area is abnormal, the Euclidean distance between the load current time sequence of each user in unit time and the residual current time sequence of the leakage transformer area in unit time is calculated, the Euclidean distance value of each user is compared, the user with the minimum Euclidean distance is judged as the user with the suspected zero-breaking electricity stealing, the correlation between the load current time sequence of each user in unit time and the residual current time sequence of the transformer area in unit time under the transformer area is visually judged, and therefore the user with the obvious correlation to the residual current time sequence of the leakage transformer area in unit time is found. Compared with the method for inspecting the subordinate users of the electric leakage platform area one by one, the method reduces the cost of electric leakage inspection, reduces the inspection range, and can perform targeted key inspection on the zero-cut electricity stealing users determined by the method.
Drawings
FIG. 1 is a block diagram of the process flow of the present invention.
Fig. 2 is a plot of the residual current in the distribution room according to the embodiment of the present invention.
Detailed Description
It should be noted that the specific embodiments described by using euclidean distance are only used to explain the present invention and are not used to limit the present invention, and the method can be used to detect and locate the user who has missed the zero-level electric leakage in the same type of distance definition in practice, such as cosine distance, manhattan distance, chebyshev distance, minkowski distance, etc.
Referring to fig. 1 in combination, the invention relates to a detection method for zero-break electricity-stealing users in an electricity leakage station area based on Euclidean distance, which comprises the following specific steps:
the method comprises the following steps: judging whether the power distribution area has electric leakage or not according to the residual current detection value of the power distribution area intelligent terminal;
in the first step, the determination of the electric leakage transformer area can be determined according to residual current data measured by the transformer area intelligent electric meter integrated with the residual current monitoring module. Under normal conditions, the residual current in a low-voltage distribution area is kept below a 150mA level, and the residual current in the area often greatly exceeds 150mA under the condition of electric leakage caused by zero-breaking electricity stealing.
And in the first step, according to the obtained residual current data of the transformer area, marking the transformer area with the residual current exceeding 150mA level in the continuous time of more than half an hour as an electric leakage transformer area.
In the above-mentioned leakage block, the block residual current time sequence Y ═ Y1,Y2,…,YnThe load current time sequence X of each subordinate access useri={Xi1,Xi2,…XinN is the number of elements in the time sequence, and i is the number of users in the station area;
step two: acquiring unit time residual current data of a power leakage transformer area and unit time load current data of each access user in one day, and constructing a unit time residual current time sequence of the power leakage transformer area and a unit time load current time sequence of each access user;
in the second step, the residual current data of the transformer area and the load current data of each accessed user are measured through a novel HPLC intelligent electric meter and uploaded to a background system of the power consumption information acquisition system or an intelligent terminal of the transformer area.
In the second step, the unit time is a specific time period. The unit time may be set to 15 minutes, 30 minutes, 60 minutes, or the like, according to the meter measurement data. The time interval of the data measured by the novel HPLC intelligent electric meter is 15 minutes, the user load current data acquired on a single day is 96-point current data, and a unit time residual current time sequence of a distribution area and unit time load current time sequences of all connected users are established on the basis of the data.
Step three: calculating the Euclidean distance between the load current time sequence of each access user in unit time and the residual current time sequence of the leakage transformer area in unit time;
in the third step, the euclidean distance is calculated, and the time series Y of the residual current in the station area is { Y ═ Y1,Y2,…,YnSubordinate load current time sequence X of each useri={Xi1,Xi2,…XinAnd f, wherein n is the number of elements in the time sequence, and i is the number of users in the station area, the calculation formula of the euclidean distance is as follows:
Figure BDA0003377104990000041
step four: and comparing the Euclidean distance values of the users, judging the user with the minimum Euclidean distance as the user with the suspected zero-break electricity stealing, and arranging the inspection personnel to check at home.
The specific embodiment is as follows:
the process and the effect of the method for detecting the suspected users of zero-interruption electricity stealing are specifically explained by taking load current data and station area residual current data of 80 users in one day of a certain low-voltage distribution station area as an example, and the novel HPLC intelligent electric meter is assembled on each access user in the station area.
As shown in fig. 2, the horizontal axis of the current distribution area residual current curve is a sampling time point, the sampling interval is 15 minutes, the vertical axis is the residual current, and as can be seen from fig. 2, the residual current value of the distribution area exceeds 150mA, and the distribution area is identified as a leakage distribution area. Defining the load current data of 96 points per day of each access user under the transformer area as a time sequence X1,X2,…,X80Defining the residual current data of the transformer area as a time sequence Y, constructing a residual current time sequence of unit time of the electric leakage transformer area and a load current time sequence of unit time of each access user, calculating Euclidean distances between the load current time sequence of unit time of each access user and the residual current time sequence of unit time of the transformer area, comparing Euclidean distance values of the users, judging the user with the minimum Euclidean distance as the user with the suspected zero-break electricity stealing in the electric leakage transformer area, and analyzing 80 users under the transformer areaThe electricity utilization condition of the user, the user with zero-breaking electricity stealing is determined, and the calculation result is shown in table 1.
TABLE 1 Euclidean distance of each user under the electricity leakage platform zone
Figure BDA0003377104990000042
Figure BDA0003377104990000051
As can be seen from the results of the euclidean distance calculation in table 1, the euclidean distance of the user 21 is 0.40, and the euclidean distance of each user is compared to find that the euclidean distance of the user 21 is the user with the minimum euclidean distance value under the current leakage platform area, so that the subordinate users 21 under the leakage platform area are determined as the users with the suspected zero-fault electricity stealing, and relevant auditors can be assigned to perform on-site audit on the users.

Claims (1)

1. A detection method for zero-breaking electricity-stealing users in an electricity leakage station area based on Euclidean distance is characterized by comprising the following steps:
the method comprises the following steps: judging whether the power distribution area has electric leakage or not according to the residual current detection value of the power distribution area intelligent terminal;
step two: acquiring unit time residual current data of a power leakage transformer area and unit time load current data of each access user in one day, and constructing a unit time residual current time sequence of the power leakage transformer area and a unit time load current time sequence of each access user;
step three: calculating the Euclidean distance between the load current time sequence of each access user in unit time and the residual current time sequence of the leakage transformer area in unit time;
step four: and comparing the Euclidean distance values of the users, judging the user with the minimum Euclidean distance as the user with the suspected zero-break electricity stealing, and arranging the inspection personnel to check at home.
CN202111428383.9A 2021-11-26 2021-11-26 Detection method for zero-breaking electricity-stealing users in electricity leakage platform area based on Euclidean distance Pending CN113933585A (en)

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Citations (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5069525A (en) * 1988-10-14 1991-12-03 Ngk Insulators, Ltd. Optical fiber built-in type composite insulator and method of producing the same
CN2125141U (en) * 1992-05-18 1992-12-16 乔博 Safety power supply device
WO2000040980A1 (en) * 1998-12-31 2000-07-13 Honeywell Inc. Fiber optic difference current sensor
US20070297113A1 (en) * 2006-06-23 2007-12-27 Eaton Corporation Circuit interrupter including nonvolatile memory storing cause-of-trip information
CN105067872A (en) * 2015-09-14 2015-11-18 国网浙江杭州市富阳区供电公司 Single-phase residual electricity quantity signal trigger and monitoring method
WO2015195520A1 (en) * 2014-06-16 2015-12-23 Schlumberger Canada Limited Fault detection in electric submersible pumps
CN106373025A (en) * 2016-08-22 2017-02-01 重庆邮电大学 Outlier detection-based real-time anti-power-theft monitoring method for power utilization information acquisition system
CN107328969A (en) * 2014-11-05 2017-11-07 江苏省电力公司常州供电公司 A kind of electric energy meter of measurable residual current
CN108256559A (en) * 2017-12-27 2018-07-06 国网河南省电力公司电力科学研究院 A kind of low pressure stealing method for positioning user based on the local outlier factor
CN108828406A (en) * 2018-06-19 2018-11-16 深圳安顺通电力物联服务有限公司 The fault recognition method and its system of non-intrusion type user power utilization
CN110288039A (en) * 2019-06-29 2019-09-27 河南工业大学 Based on user power utilization load characteristic stealing detection method
CN110322371A (en) * 2019-07-08 2019-10-11 长沙理工大学 The area Gao Suntai multiplexing electric abnormality user based on multiple linear regression analysis detects localization method
CN110426603A (en) * 2019-08-30 2019-11-08 广东电网有限责任公司 A method of detection low-voltage network ground fault and one ground stealing of a line
CN110780129A (en) * 2019-10-17 2020-02-11 国网吉林省电力有限公司电力科学研究院 Electricity stealing and leakage positioning method based on current deviation analysis technology
CN110824215A (en) * 2018-08-08 2020-02-21 天津市三源电力设备制造有限公司 Broadband carrier based electricity stealing behavior detection method and device
CN111398740A (en) * 2020-04-29 2020-07-10 国网湖南省电力有限公司 Low-voltage power distribution network electricity stealing leakage detection device, monitoring system and monitoring method
CN111474514A (en) * 2020-06-28 2020-07-31 国网江西综合能源服务有限公司 Analysis method for discovering wiring leakage by using intelligent meter zero-live wire current
CN111738364A (en) * 2020-08-05 2020-10-02 国网江西省电力有限公司供电服务管理中心 Electricity stealing detection method based on combination of user load and electricity consumption parameter
CN111797887A (en) * 2020-04-16 2020-10-20 中国电力科学研究院有限公司 Anti-electricity-stealing early warning method and system based on density screening and K-means clustering
CN111934280A (en) * 2020-09-09 2020-11-13 南方电网数字电网研究院有限公司 Electric leakage fault detection method and device, storage medium and power distribution gateway
CN112257013A (en) * 2020-10-19 2021-01-22 长沙理工大学 Electricity stealing user identification and positioning method based on dynamic time warping algorithm for high-loss distribution area
CN112305458A (en) * 2020-12-30 2021-02-02 南京斯泰恩智慧能源技术有限公司 Wave recording type platform area residual current detection terminal and early warning system
CN112819299A (en) * 2021-01-21 2021-05-18 上海电力大学 Differential K-means load clustering method based on center optimization

Patent Citations (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5069525A (en) * 1988-10-14 1991-12-03 Ngk Insulators, Ltd. Optical fiber built-in type composite insulator and method of producing the same
CN2125141U (en) * 1992-05-18 1992-12-16 乔博 Safety power supply device
WO2000040980A1 (en) * 1998-12-31 2000-07-13 Honeywell Inc. Fiber optic difference current sensor
US20070297113A1 (en) * 2006-06-23 2007-12-27 Eaton Corporation Circuit interrupter including nonvolatile memory storing cause-of-trip information
WO2015195520A1 (en) * 2014-06-16 2015-12-23 Schlumberger Canada Limited Fault detection in electric submersible pumps
CN107328969A (en) * 2014-11-05 2017-11-07 江苏省电力公司常州供电公司 A kind of electric energy meter of measurable residual current
CN105067872A (en) * 2015-09-14 2015-11-18 国网浙江杭州市富阳区供电公司 Single-phase residual electricity quantity signal trigger and monitoring method
CN106373025A (en) * 2016-08-22 2017-02-01 重庆邮电大学 Outlier detection-based real-time anti-power-theft monitoring method for power utilization information acquisition system
CN108256559A (en) * 2017-12-27 2018-07-06 国网河南省电力公司电力科学研究院 A kind of low pressure stealing method for positioning user based on the local outlier factor
CN108828406A (en) * 2018-06-19 2018-11-16 深圳安顺通电力物联服务有限公司 The fault recognition method and its system of non-intrusion type user power utilization
CN110824215A (en) * 2018-08-08 2020-02-21 天津市三源电力设备制造有限公司 Broadband carrier based electricity stealing behavior detection method and device
CN110288039A (en) * 2019-06-29 2019-09-27 河南工业大学 Based on user power utilization load characteristic stealing detection method
CN110322371A (en) * 2019-07-08 2019-10-11 长沙理工大学 The area Gao Suntai multiplexing electric abnormality user based on multiple linear regression analysis detects localization method
CN110426603A (en) * 2019-08-30 2019-11-08 广东电网有限责任公司 A method of detection low-voltage network ground fault and one ground stealing of a line
CN110780129A (en) * 2019-10-17 2020-02-11 国网吉林省电力有限公司电力科学研究院 Electricity stealing and leakage positioning method based on current deviation analysis technology
CN111797887A (en) * 2020-04-16 2020-10-20 中国电力科学研究院有限公司 Anti-electricity-stealing early warning method and system based on density screening and K-means clustering
CN111398740A (en) * 2020-04-29 2020-07-10 国网湖南省电力有限公司 Low-voltage power distribution network electricity stealing leakage detection device, monitoring system and monitoring method
CN111474514A (en) * 2020-06-28 2020-07-31 国网江西综合能源服务有限公司 Analysis method for discovering wiring leakage by using intelligent meter zero-live wire current
CN111738364A (en) * 2020-08-05 2020-10-02 国网江西省电力有限公司供电服务管理中心 Electricity stealing detection method based on combination of user load and electricity consumption parameter
CN111934280A (en) * 2020-09-09 2020-11-13 南方电网数字电网研究院有限公司 Electric leakage fault detection method and device, storage medium and power distribution gateway
CN112257013A (en) * 2020-10-19 2021-01-22 长沙理工大学 Electricity stealing user identification and positioning method based on dynamic time warping algorithm for high-loss distribution area
CN112305458A (en) * 2020-12-30 2021-02-02 南京斯泰恩智慧能源技术有限公司 Wave recording type platform area residual current detection terminal and early warning system
CN112819299A (en) * 2021-01-21 2021-05-18 上海电力大学 Differential K-means load clustering method based on center optimization

Non-Patent Citations (9)

* Cited by examiner, † Cited by third party
Title
GUO HONG等: "Fault tolerant control with torque limitation based on fault mode for ten-phase permanent magnet synchronous motor", CHINESE JOURNAL OF AERONAUTICS, no. 05, 15 October 2015 (2015-10-15), pages 1464 - 1475 *
唐冬来 等: "基于电网末端智能化的反窃电业务研究与应用", 电子世界, no. 21, 8 November 2018 (2018-11-08), pages 137 - 138 *
弓晋丽 等: "交通流时间序列模式相似性度量法", 计算机工程与应用, vol. 51, no. 06, 26 July 2013 (2013-07-26), pages 103 - 107 *
王涓 等: "应用皮尔逊相关系数算法查找异常电能表用户", 电力需求侧管理, vol. 16, no. 02, 20 March 2014 (2014-03-20), pages 52 - 54 *
程超 等: "基于离群点算法和用电信息采集系统的反窃电研究", 电力系统保护与控制, vol. 43, no. 17, 28 August 2015 (2015-08-28), pages 69 - 74 *
诸巧敏: "浅谈"断零线"窃电方式及检查方法", 中国新技术新产品, no. 23, 10 December 2015 (2015-12-10), pages 175 - 176 *
金晟 等: "数据驱动窃电检测方法综述与低误报率研究展望", 电力系统自动化, 1 March 2021 (2021-03-01), pages 1 - 13 *
钟术海 等: "基于电流偏差分析技术的窃漏电定位方法", 吉林电力, vol. 47, no. 06, 25 December 2019 (2019-12-25), pages 51 - 53 *
钟海丽: "零线接地法窃电报警和检测电路", 长沙电力学院学报(自然科学版), no. 04, 25 December 2003 (2003-12-25), pages 60 - 62 *

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