CN111007353A - Fault detection method based on combination of Beidou time service and power distribution network - Google Patents
Fault detection method based on combination of Beidou time service and power distribution network Download PDFInfo
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- CN111007353A CN111007353A CN201911146831.9A CN201911146831A CN111007353A CN 111007353 A CN111007353 A CN 111007353A CN 201911146831 A CN201911146831 A CN 201911146831A CN 111007353 A CN111007353 A CN 111007353A
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- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
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Abstract
A fault detection method based on combination of Beidou time service and a power distribution network is characterized in that synchronous acquisition (wave recording) devices are respectively installed at an inlet and an outlet of the power distribution network through a line, the synchronous acquisition (wave recording) devices are provided with high-precision time modules based on a Beidou time technology, wave patterns of the inlet and the outlet are recorded at the same time at a preset time point, wave pattern data are transmitted to a central station/background, each data or wave pattern obtained at a data center can be compared and analyzed on the same time axis, a power supply state analysis result in the power distribution network at the same time can be obtained, and whether the line is abnormal or has faults is judged through wave pattern comparison; the monitoring phenomena or fault point sources such as voltage sag, harmonic waves, grounding, loop switching and the like can be rapidly and accurately monitored, emergency state information or defect report of line equipment is rapidly sent to a crash end through an internet of things perception online monitoring end, and pain points with unclear responsibility boundaries in the food blending process can be solved.
Description
Technical Field
The patent relates to a fault detection method, in particular to a fault detection method based on combination of Beidou time service and a power distribution network.
Background
Technologies such as the internet of things are used in the process of building a modern power grid, but the application emphasis points of the technologies are different. In Europe, the main reasons for promoting power supply safety, saving energy, reducing emission and developing low-carbon economy are that all countries actively develop smart power grids, and under the driving force, the application of the European power industry to the Internet of things is more inclined to the direction of clean energy and environmental protection; in Japan, renewable energy access, energy conservation and consumption reduction and demand response are main driving forces for developing an intelligent power grid in Japan, and the application of the Japan power industry to the Internet of things mainly lies in the fields of new energy power generation monitoring and prediction, intelligent electric meter metering, micro-grid system monitoring and the like; in recent years, with the development and application of the power distribution network state monitoring technology, the state monitoring technology is more developed towards intellectualization and systematization, and various novel advanced technologies are gradually popularized. Because the traditional management of the power department in China focuses on power production, transmission and operation, the monitoring of the running states of low-voltage and user-side power distribution networks is further enhanced in the future, faults of the power distribution networks are effectively diagnosed in time, the health level of the power distribution networks is scientifically evaluated, and the safe and stable running of the whole power system is promoted.
Most of the prior power distribution network state monitoring adopts a manual monitoring mode, such as manual inspection and maintenance. The inspection of the power distribution network by the operator on duty is mostly detected through the appearance and the instrument of the cable facility, and the abnormal problem is found and reported in time for processing. With the development of national economy and the improvement of the level of science and technology, the computer technology and the sensing technology are gradually applied to the monitoring process of the state of the power distribution network, so that the level of monitoring the state of the power distribution network is fundamentally improved, and the automatic development of the power distribution network is remarkably promoted. However, in the application of data acquisition, each terminal device only transmits back data in a certain time period in the acquisition and transmission of basic data, and cannot guarantee the data time axis and event logic process record in monitoring, and cannot meet the event occurrence time analysis, so that the operation rule of the power distribution network cannot be found, and the monitoring level of the state of the power distribution network cannot be substantially improved.
The power distribution network is often influenced by various factors in the normal operation process, the factors include the self factors of the power distribution network and the influence of external natural factors, the factors bring different degrees of influence on the power distribution network, and the safety and the reliability of the operation of the power distribution network are greatly influenced. The power distribution network can increase the loss of the power distribution network when running in a high-load environment for a long time, reduce the insulation performance and the strength of the power distribution network, bring about great potential safety hazards, and the occurrence of the running fault problem of the power distribution network is a slow process, so that accurate real-time monitoring on the running state of power equipment is very necessary, and the safe and stable running of the power equipment is facilitated.
The traditional wave recording type line fault indicator or other monitoring equipment is mainly used for fault alarm of a power distribution network, and the requirement on real-time precision of alarm is not high. But the application scene requiring high precision for some time (for example, real-time states of multiple points on a line such as current and voltage are mutually compared) does not meet the requirement; at present, the national grid generally adopts devices installed at each place for measurement, comprehensive protection and the like to obtain power supply state data at each place, and the data meet the current power grid marketing management and dispatching requirements. However, some problems still exist, such as online judgment of line loss, online judgment of tripping (lower-level protection does not trip, and direct upper-level protection trips), online positioning of line abnormity, and the like, which cannot be solved through the existing data. Therefore, in the process of multipoint data acquisition (wave recording) of the special transformer distribution network, each monitoring point needs a synchronization technology in acquisition time.
The traditional line fault indicator can judge the line abnormity problem (such as instantaneous exceeding of current and voltage threshold) of the distribution network and remotely alarm. Such line fault indicators are only capable of finding problems and are not capable of fault location.
Disclosure of Invention
The invention aims to monitor the current/voltage waveform at the inlet end and the current/voltage waveform at the outlet end of a line by two sections of architecture physical sensing connection of a power supply line (cable) based on the time synchronization of the Beidou time service technology, and can judge different waveform fault condition expressions by displaying different results obtained by an oscillogram, thereby rapidly and accurately monitoring phenomena or fault point sources such as voltage sag, harmonic waves, grounding, loop switching and the like, and rapidly sending emergency state information or defect report of line equipment to a control end by an internet of things sensing online monitoring end.
The technical scheme adopted by the invention is as follows: a fault detection method based on combination of Beidou time service and a power distribution network is characterized by comprising the following steps: the method comprises the steps that a synchronous acquisition (wave recording) device is respectively installed on a population and an exit of a power distribution network through a line, the synchronous acquisition (wave recording) device is provided with a high-precision time module based on a Beidou high-precision time technology, wave patterns of the inlet and the outlet are recorded at the same time at a preset time point, wave pattern data are transmitted to a central station/background, and each data or wave pattern obtained by a data center can be compared, analyzed and processed on the same time axis, so that a power supply state analysis result in the power distribution network at the same moment can be obtained, and whether the line is abnormal or failed is judged through wave pattern comparison;
the system is provided with synchronous acquisition (wave recording) devices distributed at various positions of the power distribution network for acquiring data (wave recording) according to a plurality of time intervals every day, the data are transmitted to a data center through a communication network, and the inspection system analyzes and compares all the data (wave patterns) with time attributes and simultaneously compares and analyzes the data (wave patterns) with the data (wave patterns) in the normal state of the power distribution network;
assuming that the inlet current I1, the voltage V1, the power N1, the outlet current Io, the voltage Vo and the power No of the power distribution network, the line loss power (N1-No) passing through the distribution network can be calculated, if the line loss power (N1-No) exceeds a specified value, the distribution network line is indicated to be in fault or hidden trouble, and when the current difference (I1-Io) exceeds the specified value, the distribution network is indicated to have power stealing or leakage abnormal conditions;
assuming that the inlet current I1, the voltage V1, the power N1, the outlet current Io, the voltage Vo and the power No of the power distribution network, when the current (I1, Io) or the voltage (V1, Vo) is found to exceed a threshold value (is larger than a certain value or is smaller than the certain value for a period of time), the current, the voltage, the occurrence time and the duration time at the moment are recorded by a synchronous acquisition (wave recording) device and sent to a data center for alarming;
according to the entrance wave-recording mode and the exit wave-recording mode, the mode for judging whether the circuit is abnormal is as follows:
(1) if the inlet and outlet current/voltage waveforms overlap, the line is normal;
(2) if the wave form of the inlet voltage is complete, the wave form of the outlet voltage lacks 0.5 wave to 10 waves, which indicates that a temporary drop is generated in the middle of the line;
(3 if the inlet voltage waveform is complete, the outlet voltage waveform lacks more than 10 waves, less than 30 waves, indicating a dual-loop switching action in the middle of the line;
(4) if the clutter of the voltage wave form of the entrance is weaker, the clutter of the voltage wave form of the exit is stronger, there is harmonic interference for the load under the general situation;
(5) if a segment of noise wave from 1500Hz to 10Mhz appears at the moment when the line wave pattern appears, a spark event is shown to occur in the line;
(6) if the amplitude of the outlet current waveform is significantly less than the amplitude of the inlet current waveform, it indicates that there is line loss in the line.
Furthermore, the synchronous acquisition device comprises a signal acquisition module, a time service module, a power module, a synchronous acquisition MCU and a network module;
the time service module receives Beidou time information through an LORA network or a Beidou signal and transmits the Beidou time information to the synchronous acquisition MCU;
the synchronous acquisition MCU acquires current, voltage wave patterns and related data of the cable through the signal acquisition module according to a strategy of setting requirements, packs the current, voltage wave patterns and related data together with time, and sends the current, voltage wave patterns and related data to a data center through the network module;
when the circuit is found to be abnormal, the method comprises the following steps: when events such as sag, harmonic, lightning stroke, grounding and the like occur, the synchronous acquisition MCU locks the event time acquired by the signal acquisition module and packages the event time into an alarm message to be transmitted to the data center.
Further, the time service module comprises a receiving antenna, a Beidou module, a time service MCU, an LORA module, a transmitting antenna and a time service power supply;
the Beidou module is responsible for receiving Beidou high-precision time service signals, and the time service MCU is responsible for converting the received Beidou time into time messages and transferring the time messages to the LORA module; the transmitting antenna is responsible for sending out the time message needing to be sent in a broadcasting mode.
The invention has the advantages and characteristics that:
through connecting at two sections framework physics perceptions of power supply line (cable), monitoring line inlet end electric current/voltage waveform and exit end electric current/voltage waveform, show different results that obtain through the oscillogram, we can judge and obtain different waveform fault condition expressions to quick accurate monitoring is like monitoring phenomena or fault point source such as voltage sag, harmonic, ground connection, return circuit switching, through the online monitoring end of thing allies oneself with perception, sends emergency state information or line equipment's defect report to the management and control end rapidly, also can solve the unclear pain point in responsibility boundary in the operation and distribution integration process.
Drawings
FIG. 1 is a schematic diagram of the preferred embodiment of the present invention (i is the amount of AC current, u is the amount of AC voltage, x is the distance from the cable entrance, A is the entrance synchronous acquisition device, B is the exit synchronous acquisition device, C is the entrance recording waveform, and D is the exit recording waveform);
FIG. 2 is a block diagram of a synchronous acquisition device in accordance with a preferred embodiment of the present invention;
FIG. 3 is a block diagram of a time service module according to a preferred embodiment of the present invention;
FIGS. 4-6 are graphs comparing the simultaneous ingress and egress recording waveforms of the preferred embodiment of the present invention;
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a fault detection method based on combination of Beidou time service and a power distribution network is characterized in that a synchronous acquisition (wave recording) device is respectively installed at an inlet and an outlet of a power distribution network through a line, the synchronous acquisition (wave recording) device is provided with a high-precision time module based on the Beidou high-precision time technology, wave patterns of the inlet and the outlet are recorded at a preset time point, wave pattern data are transmitted to a central station/background, each data or wave pattern obtained from a data center can be contrasted and analyzed on the same time axis, a power supply state analysis result in the power distribution network at the same time can be obtained, and whether the line is abnormal or has faults is judged through wave pattern comparison;
the system is provided with synchronous acquisition (wave recording) devices distributed at various positions of the power distribution network for acquiring data (wave recording) according to a plurality of time intervals every day, the data are transmitted to a data center through a communication network, and the inspection system analyzes and compares all the data (wave patterns) with time attributes and simultaneously compares and analyzes the data (wave patterns) with the data (wave patterns) in the normal state of the power distribution network;
assuming that the inlet current I1, the voltage V1, the power N1, the outlet current Io, the voltage Vo and the power No of the power distribution network, the line loss power (N1-No) passing through the distribution network can be calculated, if the line loss power (N1-No) exceeds a specified value, the distribution network line is indicated to be in fault or hidden trouble, and when the current difference (I1-Io) exceeds the specified value, the distribution network is indicated to have power stealing or leakage abnormal conditions;
assuming that the inlet current I1, the voltage V1, the power N1, the outlet current Io, the voltage Vo and the power No of the power distribution network, when the current (I1, Io) or the voltage (V1, Vo) is found to exceed a threshold value (is larger than a certain value or is smaller than the certain value for a period of time), the current, the voltage, the occurrence time and the duration time at the moment are recorded by a synchronous acquisition (wave recording) device and sent to a data center for alarming;
referring to fig. 2, the synchronous acquisition device includes a signal acquisition module 1, a time service module 2, a power module 3, a synchronous acquisition MCU4, and a network module 5;
the time service module 2 receives Beidou time information through an LORA network or Beidou signals and transmits the Beidou time information to the synchronous acquisition MCU 4;
the synchronous acquisition MCU4 acquires the current, voltage wave pattern and related data of the cable through the signal acquisition module 1 according to the strategy of setting requirements, packs the current, voltage wave pattern and related data together with time, and sends the current, voltage wave pattern and related data to a data center through the network module 5;
when the circuit is found to be abnormal, the method comprises the following steps: when events such as sag, harmonic, lightning strike, grounding and the like occur, the synchronous acquisition MCU4 locks and packages the event time acquired by the signal acquisition module 1 into an alarm message to be transmitted to the data center.
Referring to fig. 3, the time service module 2 includes a receiving antenna 21, a beidou module 22, a time service MCU23, a LORA module 24, a transmitting antenna 25 and a time service power supply 26;
the Beidou module 22 is responsible for receiving Beidou high-precision time service signals, and the time service MCU23 is responsible for converting the received Beidou time into time messages and transferring the time messages to the LORA module 24; the transmitting antenna 25 is responsible for transmitting the time message to be transmitted in a broadcasting manner.
Referring to fig. 4 to 6, the method for determining whether the circuit is abnormal according to the synchronous ingress and egress recording waveforms is as follows:
if the inlet and outlet current/voltage waveforms overlap, the line is normal;
if the wave form of the inlet voltage is complete, the wave form of the outlet voltage lacks 0.5 wave to 10 waves, which indicates that a temporary drop is generated in the middle of the line;
if the voltage waveform of the inlet is complete, the voltage waveform of the outlet lacks more than 10 waves and less than 30 waves, which indicates that the circuit has double-loop switching action;
if the clutter of the voltage wave form of the entrance is weaker, the clutter of the voltage wave form of the exit is stronger, there is harmonic interference for the load under the general situation;
if a segment of noise from 1500Hz to 10Mhz occurs at the instant of the line wave pattern, a spark event occurs in the line;
if the amplitude of the waveform of the outlet current is obviously smaller than that of the waveform of the inlet current, the line loss exists in the line.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only for the purpose of illustrating the structural relationship and principles of the present invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (3)
1. A fault detection method based on combination of Beidou time service and a power distribution network is characterized in that: the method comprises the steps that synchronous acquisition devices are respectively installed at an inlet and an outlet of a power distribution network through a line, the synchronous acquisition devices are provided with high-precision time modules based on the Beidou high-precision time technology, wave patterns of a population and the outlet are recorded at the same time at a preset time point, wave pattern data are transmitted to a middle station/background, and each data or wave pattern obtained in a data center can be compared, analyzed and processed on the same time axis, so that a power supply state analysis result in the power distribution network at the same moment can be obtained, and whether the line is abnormal or faulted or not is judged through wave pattern comparison;
the system is provided with synchronous acquisition devices distributed at each part of the power distribution network for acquiring data at a plurality of time intervals every day, the data are transmitted to a data center through a communication network, and the inspection system analyzes and compares all the data with time attributes and simultaneously compares and analyzes the data with the data in the normal state of the power distribution network;
assuming that the inlet current I1, the voltage V1, the power N1, the outlet current Io, the voltage Vo and the power No of the power distribution network, the line loss power (N1-No) passing through the distribution network can be calculated, if the line loss power (N1-No) exceeds a specified value, the distribution network line is indicated to be in fault or hidden trouble, and when the current difference (I1-Io) exceeds the specified value, the distribution network is indicated to have power stealing or leakage abnormal conditions;
assuming that the inlet current I1, the voltage V1, the power N1, the outlet current Io, the voltage Vo and the power No of the power distribution network, when the current (I1, Io) or the voltage (V1, Vo) is found to exceed a threshold value, the synchronous acquisition device records the current, the voltage, the occurrence time and the duration at the moment, and sends the current, the voltage, the occurrence time and the duration to the data center for alarming;
according to the synchronous entrance wave-recording mode and the exit wave-recording mode, the mode for judging whether the circuit is abnormal is as follows:
(1) if the inlet and outlet current/voltage waveforms overlap, the line is normal;
(2) if the wave form of the inlet voltage is complete, the wave form of the outlet voltage lacks 0.5 wave to 10 waves, which indicates that a temporary drop is generated in the middle of the line;
(3 if the inlet voltage waveform is complete, the outlet voltage waveform lacks more than 10 waves, less than 30 waves, indicating a dual-loop switching action in the middle of the line;
(4) if the clutter of the voltage wave form of the entrance is weaker, the clutter of the voltage wave form of the exit is stronger, there is harmonic interference for the load under the general situation;
(5) if a segment of noise from 1500Hz to 10Mhz occurs at the instant of the line wave pattern, a spark event occurs in the line;
(6) if the amplitude of the outlet current waveform is significantly less than the amplitude of the inlet current waveform, it indicates that there is line loss in the line.
2. The fault detection method based on the combination of the Beidou time service and the power distribution network according to claim 1, is characterized in that: the synchronous acquisition device comprises a signal acquisition module (1), a time service module (2), a power module (3), a synchronous acquisition MCU (4) and a network module (5);
the time service module (2) receives Beidou time information through an LORA network or Beidou signals and transmits the Beidou time information to the synchronous acquisition MCU (4);
the synchronous acquisition MCU (4) acquires current and voltage waveforms and related data of the cable through the signal acquisition module (1) according to a strategy of setting requirements, packages the current and voltage waveforms and the related data together with time, and sends the current and voltage waveforms and the related data to a data center through the network module (5);
when the circuit is found to be abnormal, the method comprises the following steps: when events such as sag, harmonic wave, lightning stroke, grounding and the like occur, the synchronous acquisition MCU (4) locks the event time acquired by the signal acquisition module (1) and packs the event time into an alarm message to be transmitted to the data center.
3. The fault detection method based on the combination of the Beidou time service and the power distribution network according to claim 2, characterized in that: the time service module (2) comprises a receiving antenna (21), a Beidou module (22), a time service MCU (23), an LORA module (24), a transmitting antenna (25) and a time service power supply (26);
the Beidou module (22) is responsible for receiving Beidou time service signals, and the time service MCU (23) is responsible for converting the received Beidou time into time messages and transferring the time messages to the LORA module (24); the transmitting antenna (25) is responsible for transmitting the time message to be transmitted in a broadcast manner.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112486009A (en) * | 2020-11-20 | 2021-03-12 | 山东山大电力技术股份有限公司 | Time service signal abnormal waveform recording analyzer and method |
| CN112969154A (en) * | 2021-02-24 | 2021-06-15 | 珠海市鸿瑞信息技术股份有限公司 | 5G communication method for electric power distribution safety control |
| CN113625029A (en) * | 2021-06-22 | 2021-11-09 | 广西电网有限责任公司南宁供电局 | Electric energy metering control method with positioning time service and protection functions |
| CN114460833A (en) * | 2022-01-24 | 2022-05-10 | 同济大学 | Driving device and time service method thereof, ground signal device and time service system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130034772A (en) * | 2011-09-29 | 2013-04-08 | 한국전력공사 | System and method for detecting power quality abnormal waveform of the electric power distribution system |
| CN104914347A (en) * | 2015-05-20 | 2015-09-16 | 广西电网有限责任公司桂林供电局 | Grounding fault judgment method based on time axis comparison of Beidou satellite time service |
| CN105319958A (en) * | 2015-11-13 | 2016-02-10 | 山东康威通信技术股份有限公司 | An ultra-long distance communication cable high precision network time service system and a method thereof |
| CN106226653A (en) * | 2016-08-11 | 2016-12-14 | 国网浙江省电力公司宁波供电公司 | The transfer law assessment system of the voltage dip of multistage power grid and appraisal procedure |
| CN109874167A (en) * | 2019-02-26 | 2019-06-11 | 湖北凯佳能源科技集团有限公司 | A kind of studio broadcast formula method for synchronizing time based on Beidou time service |
| CN110412424A (en) * | 2019-08-05 | 2019-11-05 | 国家电网有限公司 | Portable route intelligent monitor based on Beidou Service of Timing |
-
2019
- 2019-11-21 CN CN201911146831.9A patent/CN111007353A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130034772A (en) * | 2011-09-29 | 2013-04-08 | 한국전력공사 | System and method for detecting power quality abnormal waveform of the electric power distribution system |
| CN104914347A (en) * | 2015-05-20 | 2015-09-16 | 广西电网有限责任公司桂林供电局 | Grounding fault judgment method based on time axis comparison of Beidou satellite time service |
| CN105319958A (en) * | 2015-11-13 | 2016-02-10 | 山东康威通信技术股份有限公司 | An ultra-long distance communication cable high precision network time service system and a method thereof |
| CN106226653A (en) * | 2016-08-11 | 2016-12-14 | 国网浙江省电力公司宁波供电公司 | The transfer law assessment system of the voltage dip of multistage power grid and appraisal procedure |
| CN109874167A (en) * | 2019-02-26 | 2019-06-11 | 湖北凯佳能源科技集团有限公司 | A kind of studio broadcast formula method for synchronizing time based on Beidou time service |
| CN110412424A (en) * | 2019-08-05 | 2019-11-05 | 国家电网有限公司 | Portable route intelligent monitor based on Beidou Service of Timing |
Non-Patent Citations (5)
| Title |
|---|
| Y. KUMSUWAN ETC.: "A fast synchronously rotating reference frame-based voltage sag detection under practical grid voltages for voltage sag compensation systems", 《6TH IET INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, MACHINES AND DRIVES》 * |
| 严鋆: "配电网电压跌落检测与补偿策略研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 司学振等: "基于实测数据的电压暂降特性分析", 《电力自动化设备》 * |
| 徐铭铭等: "基于同步波形的配电网故障诊断技术综述", 《电力工程技术》 * |
| 李淑玉: "《现代制造技术实训教程》", 31 March 2011 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112486009A (en) * | 2020-11-20 | 2021-03-12 | 山东山大电力技术股份有限公司 | Time service signal abnormal waveform recording analyzer and method |
| CN112969154A (en) * | 2021-02-24 | 2021-06-15 | 珠海市鸿瑞信息技术股份有限公司 | 5G communication method for electric power distribution safety control |
| CN112969154B (en) * | 2021-02-24 | 2021-10-29 | 珠海市鸿瑞信息技术股份有限公司 | 5G communication method for electric power distribution safety control |
| CN113625029A (en) * | 2021-06-22 | 2021-11-09 | 广西电网有限责任公司南宁供电局 | Electric energy metering control method with positioning time service and protection functions |
| CN113625029B (en) * | 2021-06-22 | 2024-01-12 | 广西电网有限责任公司南宁供电局 | Electric energy metering control method with positioning time service and protection functions |
| CN114460833A (en) * | 2022-01-24 | 2022-05-10 | 同济大学 | Driving device and time service method thereof, ground signal device and time service system |
| CN114460833B (en) * | 2022-01-24 | 2023-09-08 | 同济大学 | Driving device, time service method thereof, ground signal device and time service system |
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