CN111509857A - Low-voltage distribution transformer power-failure-free rapid monitoring system and method - Google Patents
Low-voltage distribution transformer power-failure-free rapid monitoring system and method Download PDFInfo
- Publication number
- CN111509857A CN111509857A CN202010361466.XA CN202010361466A CN111509857A CN 111509857 A CN111509857 A CN 111509857A CN 202010361466 A CN202010361466 A CN 202010361466A CN 111509857 A CN111509857 A CN 111509857A
- Authority
- CN
- China
- Prior art keywords
- power
- low
- voltage
- monitoring system
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to the technical field of power grid monitoring, in particular to a low-voltage distribution transformer power-failure-free rapid monitoring system and method. A low-voltage distribution transformer power-failure-free rapid monitoring system comprises a data acquisition module, a control output module, a communication module and a central control unit; a data acquisition module: the data acquisition module monitors and records the operation condition of the distribution transformer; a control output module: the control output module is responsible for executing a control command issued by the central control unit; a communication module: the communication interface receives command information from the master station through a power line, the command is demodulated and transmitted to the controller after filtering and amplification, and then the controller transmits the master station command to the data acquisition module through a serial port; a central control unit: the central control unit calculates the data of the data acquisition module and issues a control command to the control output module.
Description
Technical Field
The invention relates to the technical field of power grid monitoring, in particular to a low-voltage distribution transformer power-failure-free rapid monitoring system and method.
Background
Under the net mode was joined in marriage to the tradition, the measurement ammeter mainly adopts a data in 15 minutes, mainly serve the ammeter measurement, transmission frequency is low, the data bulk is few, can't support production fortune dimension, lead to the low pressure district management blind area to appear, current dispatch can't learn distribution station district real-time data in real time, distribution station district and user information become the dispatch blind spot, the lack of distribution station district and user side data influences the expansion of novel dispatch modes such as "accurate power failure analysis", "flexible dispatch", "virtual power plant".
The low-voltage distribution station is divided into a transformer substation, a box transformer substation and a pole transformer substation, low-voltage equipment comprises a transformer, a leakage protection switch, environment monitoring equipment, a reactive power compensation device, a three-phase unbalance treatment device and the like, and the low-voltage distribution station has the characteristics of complex and various field environments, multiple equipment quantity and variety, large data volume and the like. The total amount of low-voltage distribution equipment is continuously increased, the number of operation and maintenance personnel on the same line is in shortage and limited in total number, the operation and maintenance efficiency of personnel low-voltage distribution management cannot support the requirement of modern distribution network management, and the mode of improving the lean management level of the distribution network by increasing the number of operation and maintenance personnel cannot be realized.
Disclosure of Invention
The invention aims to solve the technical problems at least to a certain extent, provides a low-voltage distribution transformer power-failure-free rapid monitoring system and a low-voltage distribution transformer power-failure-free rapid monitoring method, and solves the technical bottleneck problem that the real-time information of a distribution transformer area cannot be obtained by insufficient scheduling of the existing monitoring and control means of a power enterprise.
The technical scheme of the invention is as follows:
the invention aims to provide a set of high-precision low-voltage distribution transformer power-failure-free rapid monitoring system supporting open type CT, power failure-free, non-intrusive type and rapid installation for power enterprises.
The invention adopts advanced technologies such as communication technology, edge calculation, quick sensing and the like, abandons the scheme that the traditional metering distribution transformer terminal has high construction cost, high difficulty, power failure, insufficient precision and incapability of realizing second-level data in site transformation, and changes the scheme into a mode of supporting high-precision open type CT, avoiding power failure, having no disturbance and being quickly installed, thereby greatly reducing construction workload, shortening implementation period and facilitating later maintenance; meanwhile, the data acquisition device does not need to transform the original equipment, and the construction cost and the difficulty are greatly reduced. The alternating current data processing module adopts algorithms such as frequency tracking and the like to realize high-speed sampling of the alternating current data of the distribution area, the processing module carries out electric power full-data processing based on an FFT algorithm, and the integration and application capability of information data is improved on the basis of realizing the observability and controllability of a power distribution network.
With the rapid development of the internet of things, the traditional industry develops new opportunities with the addition of a novel internet of things technology, particularly the development of industries such as industry 4.0 and electric vehicles, so that more and more complex requirements are continuously developed in each link of power generation, power transmission, power transformation, power distribution and power utilization, but the access problem is more and more prominent. Therefore, a set of low-voltage distribution transformer power-failure-free rapid monitoring system is urgently needed to be researched, power failure, disturbance and rapid installation can be avoided, the operation condition of the distribution transformer can be monitored in real time, collected information can be transmitted to a main station or other intelligent devices, and data required by operation control and management of the distribution system is provided.
The invention adopts advanced embedded operating system development, the hardware adopts a dual-core mode of DSP + ARM, the advantages of the two are combined together skillfully, and a communication channel adopts a high-speed full-duplex industrial GPRS/CDMA module; the terminal is internally provided with a TCP/IP protocol, supports various wireless network communication modes, supports online network upgrade and supports safe encryption. The low-voltage distribution transformer power failure-free rapid monitoring system adopts a wireless data communication mode, takes the Internet of things as a carrier, and takes a field RS485 bus, infrared rays and other communication modes as an auxiliary mode, and monitors related power consumption information by taking a circuit breaker, a residual current leakage action circuit breaker, a reactive compensation switching state, a distribution transformer working condition, a metering electric energy meter and the like in a distribution box as main control management objects, so that power supply and consumption monitoring, control and management are realized, and the system has multiple functions of remote meter reading, power consumption abnormal information alarm, load management and control and the like. The intelligent scheduling platform has the advantages of realizing local deployment and application by edge computing capacity, making a hierarchical decision, reducing the processing pressure of the service platform and improving the operation efficiency of the intelligent scheduling platform.
A low-voltage distribution transformer power-failure-free rapid monitoring system comprises a data acquisition module, a control output module, a communication module and a central control unit;
a data acquisition module: the data acquisition module monitors and records the operation condition of the distribution transformer;
a control output module: the control output module is responsible for executing a control command issued by the central control unit;
a communication module: the communication interface receives command information from the master station through a power line, the command is demodulated and transmitted to the controller after filtering and amplification, and then the controller transmits the master station command to the data acquisition module through a serial port;
a central control unit: the central control unit calculates the data of the data acquisition module and issues a control command to the control output module.
Furthermore, the central control unit comprises a DSP chip and an ARM chip.
Furthermore, the DSP chip is responsible for data acquisition and data analysis.
Furthermore, the ARM chip is responsible for data storage, data communication with the master station and data acquisition of field devices.
Furthermore, the data acquisition module calculates operating parameters such as voltage effective value, current effective value, active power, reactive power, power factor, active electric energy and reactive electric energy once every k minutes according to the low-voltage side three-phase voltage and current sampling values, records and stores integral values of a period of time and a typical day, the maximum value and the minimum value of the voltage and the current and the occurrence time of the maximum value and the minimum value, power supply interruption time and recovery time, and records data stored in a non-volatile memory of the device, so that the recorded content is not lost when the device is powered off.
Further, the k minutes is 1-2 minutes.
Furthermore, the control output module is communicated with the power distribution substation or the main station, reports real-time information collected by the system, receives various control commands issued by the substation/the main station, and communicates with a low-voltage distribution transformer power-failure-free rapid monitoring system or other intelligent equipment nearby.
Furthermore, the communication module communicates with the master station in a distribution network encryption mode and communicates with and acquires data in the station house in a RS485, wireless and Ethernet mode.
Furthermore, the data in the collection station room comprise distribution and transformation electrical quantity, low-voltage electrical quantity and a low-voltage switch cabinet.
Furthermore, historical data modeling is carried out on the operation state of the power distribution network by utilizing historical data, a modeling result is input into the state estimator as virtual measurement so as to obtain the real-time operation state of the power distribution network with higher precision, and the voltage stability index, the low voltage index and the branch power instability proximity of the power distribution network are adopted for analysis and prejudgment so that scheduling personnel can better know the operation state and the trend of the power distribution network.
Compared with the prior art, the beneficial effects are: the power-failure-free rapid monitoring system for the low-voltage distribution transformer can meet the service requirements of customers in various aspects such as power distribution data acquisition, remote meter reading, fault positioning, real-time state reporting, remote monitoring of a distribution substation, service statistics, material management scheduling and the like, and is provided with the wireless module with the standard interface and the serial port and the data access unit, seamless butt joint with distribution network electric equipment, an intelligent electric meter and a main station system can be realized, fusion of electric power and the Internet of things is better realized, a power-failure-free, disturbance-free and rapid installation mode of sensing equipment is realized, the construction workload is greatly reduced, the implementation period is shortened, and later maintenance is facilitated.
Drawings
FIG. 1 is a schematic diagram of the system framework of the present invention.
FIG. 2 is a schematic diagram of the network architecture of the system of the present invention.
FIG. 3 is a flow chart of a power distribution network operation state sensing method based on historical data mining.
Fig. 4 is an overall flowchart of the deep learning method based on Spark memory computation framework according to the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent; for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted. The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent.
As shown in fig. 1, a low-voltage distribution transformer power-outage-free rapid monitoring system is characterized by comprising a data acquisition module, a control output module, a communication module and a central control unit;
a central control unit: a dual-core mode of DSP + ARM is adopted, wherein the ARM chip has the characteristics of strong function, low power and the like, and is used for interface expansion of peripheral circuits. The DSP chip has strong data analysis and processing capacity, and the operation speed is greatly improved in the data processing process. Thus, the double system has clear division of labor and brings the advantages of the two systems into play. The DSP is responsible for collecting and analyzing data, and the ARM is responsible for storing data, communicating with the master station and collecting data of other field equipment.
A data acquisition module: the low-voltage distribution transformer power-failure-free rapid monitoring system monitors and records the operation condition of a distribution transformer. According to the sampling values of the voltage and the current of the three phases at the low-voltage side, the operating parameters such as a voltage effective value, a current effective value, active power, reactive power, a power factor, active electric energy and reactive electric energy are calculated every 1-2 minutes, the integral values of a period of time (one week or one month) and a typical day, the maximum value and the minimum value of the voltage and the current and the occurrence time of the maximum value and the minimum value of the voltage and the current, the power supply interruption time and the power supply recovery time are recorded and stored in a non-volatile memory of the device, and the recorded contents are not lost when the device is powered. The distribution network master station reads the measured value and the history of the low-voltage distribution transformer power-failure-free rapid monitoring system at regular time through the communication system, finds the operation problems of overload, power failure and the like of the transformer in time, carries out statistics and analysis on the voltage qualification rate, the power supply reliability and the load characteristics according to the recorded data, and provides basic data for load prediction, distribution network planning and accident analysis. If the communication condition is not met, the palm computer is used for reading the record every week or month to the site and then transferring the record to the distribution network main station or other analysis systems.
A control output module: the control output module is responsible for executing control commands issued by the central control unit, and the control commands comprise reactive compensation control, residual current leakage action circuit breakers and the like.
According to the requirement of a distribution automation system, the low-voltage distribution transformer power-failure-free rapid monitoring system can communicate with a distribution substation or a main station, reports real-time information collected by the system, receives various control commands issued by the substation/main station, and can communicate with the low-voltage distribution transformer power-failure-free rapid monitoring system or other intelligent equipment nearby according to the requirement.
A communication module: the low-voltage distribution transformer power-failure-free rapid monitoring system has the optical cable access capability. The distribution network encryption mode is adopted to communicate with the main station, and the communication system has RS485, wireless, Ethernet and other modes to communicate and collect data in the station room, including distribution and transformation electric quantity, low-voltage switch cabinet and other data. The intelligent operation and maintenance data of various types of power distribution are uploaded to the distribution network master station according to the standard IEC104 protocol, and the wireless communication terminal establishes a high-speed and stable transmission channel for the whole-link mass terminal and the operation center of the power grid, so that the real-time transmission of data within 7 x 24 hours is realized.
In communication, the communication interface receives command information from the master station through a power line, the command is demodulated and transmitted to the controller after filtering and amplification, and then the controller transmits the master station command to the data acquisition and processing module through a serial port. The data acquisition and processing module acquires the data of the distribution transformer according to the received main station command, and after analysis and processing, the data information is sent to the controller of the communication module through the serial port, modulated and finally sent to the power line through the interface to wait for the main station to receive the data. Therefore, the requirements for the communication function of the system are relatively strict, and no matter the communication mode, the communication protocol and the communication interface, the requirements of the distribution network automation system need to be met.
The invention adopts the non-intrusive power distribution data fast sensing without power failure, as shown in figure 2. The sensing equipment is free of power failure and disturbance, and is quickly installed, so that the construction workload is greatly reduced, the implementation period is shortened, and the later maintenance is facilitated; meanwhile, the data acquisition device does not need to transform the original equipment, and the construction cost and the difficulty are greatly reduced.
The non-intrusive installation mode of power failure is as follows:
the magnetic suction fixing device is fixedly installed in a magnetic mode, a magnet is arranged in the magnetic suction fixing device, and an anti-slip pad is arranged outside the magnetic suction fixing device to achieve fastening installation;
measuring current by using an open CT (current transformer);
the magnetic steel adsorbs the measuring voltage, and the magnetic steel adsorbs to acquire voltage values which are adsorbed on the switch busbar in a one-to-one correspondence manner.
The current situation that the traditional power distribution network state estimation measurement is insufficient and the current situation that a large amount of historical data exist in the power distribution network are considered. The invention uses a power distribution network operation state sensing method based on historical data mining, as shown in figure 3. According to the method, historical data modeling is carried out on the running state of the power distribution network by utilizing historical data, a modeling result is input into a state estimator as virtual measurement so as to obtain the real-time running state of the power distribution network with higher precision, and the voltage stability index, the low voltage index and the branch power instability proximity of the power distribution network are adopted for analysis and prejudgment so that a scheduler can better know the running state and the trend of the power distribution network. The method provides a comprehensive and accurate real-time database for the active management of the power distribution network, and enriches the situation information of the power distribution network, thereby providing a basis and guarantee for the safe, reliable and economic operation of the power distribution network.
The invention uses a deep learning method based on Spark memory calculation framework to monitor the distribution transformer management terminal, as shown in fig. 4. The method fully selects more multidimensional and wider characteristics, utilizes the result obtained by processing the last data through a power distribution network situation perception algorithm based on historical data mining to the maximum extent, and can predict the short-term situation trend more accurately and quickly. Considering the characteristics of periodicity and regularity of the electric situation, firstly, a distribution network situation perception algorithm based on historical data modeling obtains a situation perception situation, common features in mass situation data are searched, then, a situation classifier based on a DBN is used for classifying the situation curve category of a day to be predicted, and finally, a corresponding typical situation curve is used as a characteristic to be applied to a situation predictor based on SAE to extract a high-order characteristic situation curve of the typical situation curve.
In addition, in the present invention, the Spark memory computation framework can be replaced by a Flink memory computation framework.
The system has magnetic adsorption, is convenient to install, integrates digitalization, networking and intellectualization, greatly reduces construction workload, shortens implementation period and facilitates later maintenance.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A low-voltage distribution transformer power-failure-free rapid monitoring system is characterized by comprising a data acquisition module, a control output module, a communication module and a central control unit;
a data acquisition module: the data acquisition module monitors and records the operation condition of the distribution transformer;
a control output module: the control output module is responsible for executing a control command issued by the central control unit;
a communication module: the communication interface receives command information from the master station through a power line, the command is demodulated and transmitted to the controller after filtering and amplification, and then the controller transmits the master station command to the data acquisition module through a serial port;
a central control unit: the central control unit calculates the data of the data acquisition module and issues a control command to the control output module.
2. The power-outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 1, characterized in that: the central control unit comprises a DSP chip and an ARM chip.
3. The power-outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 2, characterized in that: the DSP chip is responsible for data acquisition and data acquisition analysis.
4. The power-outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 3, characterized in that: the ARM chip is responsible for data storage, data communication with a main station and data acquisition of field equipment.
5. The power-outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 4, characterized in that: the data acquisition module calculates operating parameters such as voltage effective value, current effective value, active power, reactive power, power factor, active electric energy and reactive electric energy once every k minutes according to the low-voltage side three-phase voltage and current sampling values, records and stores integral values of a period of time and a typical day, maximum values and minimum values of voltage and current, occurrence time of the maximum values and the minimum values, power supply interruption time and recovery time, records data and stores the data in a non-volatile memory of the device, and the recorded contents are not lost when the device is powered off.
6. The power-outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 5, characterized in that: the k minutes is 1-2 minutes.
7. The power-outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 6, characterized in that: the control output module is communicated with the power distribution substation or the main station, reports real-time information collected by the system, receives various control commands issued by the substation/main station, and is communicated with a low-voltage distribution transformer power-failure-free rapid monitoring system or other intelligent equipment nearby.
8. The power outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 7, characterized in that: the communication module communicates with the master station in a distribution network encryption mode and communicates with and acquires data in the station house in an RS485, wireless and Ethernet mode.
9. The power outage-free rapid monitoring system for the low-voltage distribution transformer according to claim 8, characterized in that: the data in the collection station room comprise distribution and transformation electric quantity, low-voltage electric quantity and a low-voltage switch cabinet.
10. The method of the low-voltage distribution transformer power-outage-free rapid monitoring system according to claim 9, characterized by comprising the following steps: the method comprises the steps of firstly, carrying out historical data modeling on the running state of the power distribution network by utilizing historical data, inputting a modeling result into a state estimator as virtual measurement so as to obtain the real-time running state of the power distribution network with higher precision, and analyzing and prejudging by adopting a voltage stability index, a low voltage index and branch power instability proximity of the power distribution network so as to facilitate a scheduler to better know the running state and the trend of the power distribution network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010361466.XA CN111509857A (en) | 2020-04-30 | 2020-04-30 | Low-voltage distribution transformer power-failure-free rapid monitoring system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010361466.XA CN111509857A (en) | 2020-04-30 | 2020-04-30 | Low-voltage distribution transformer power-failure-free rapid monitoring system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111509857A true CN111509857A (en) | 2020-08-07 |
Family
ID=71876579
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010361466.XA Pending CN111509857A (en) | 2020-04-30 | 2020-04-30 | Low-voltage distribution transformer power-failure-free rapid monitoring system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111509857A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112350313A (en) * | 2020-10-29 | 2021-02-09 | 国网山东省电力公司临沂供电公司 | Low-voltage distribution automatic monitoring and processing system |
| CN114325374A (en) * | 2021-12-30 | 2022-04-12 | 广东电网有限责任公司 | Low-voltage shunt switch monitoring device and method |
| CN114389642A (en) * | 2021-12-08 | 2022-04-22 | 广东电网有限责任公司 | Distribution network communication method and system based on edge Internet of things agent |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101354408A (en) * | 2008-07-31 | 2009-01-28 | 南京能瑞自动化设备有限公司 | Electric energy acquisition and operation management system and method based on platform zone centralized service terminal |
| CN202084993U (en) * | 2011-05-17 | 2011-12-21 | 中国电力科学研究院 | Standard intelligent distribution transform terminal |
| CN105608512A (en) * | 2016-03-24 | 2016-05-25 | 东南大学 | Short-term load forecasting method |
| CN105956760A (en) * | 2016-04-27 | 2016-09-21 | 河海大学 | Intelligent power distribution network situation perception method Based on multivariate spatio-temporal information modeling |
| CN107171435A (en) * | 2017-03-20 | 2017-09-15 | 国网浙江义乌市供电公司 | Power distribution network monitors energy conserving system |
| CN108173347A (en) * | 2018-03-06 | 2018-06-15 | 南京赫曦电气有限公司 | Non-intrusion type based on Internet of Things Network Communication matches power load monitoring device and method |
-
2020
- 2020-04-30 CN CN202010361466.XA patent/CN111509857A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101354408A (en) * | 2008-07-31 | 2009-01-28 | 南京能瑞自动化设备有限公司 | Electric energy acquisition and operation management system and method based on platform zone centralized service terminal |
| CN202084993U (en) * | 2011-05-17 | 2011-12-21 | 中国电力科学研究院 | Standard intelligent distribution transform terminal |
| CN105608512A (en) * | 2016-03-24 | 2016-05-25 | 东南大学 | Short-term load forecasting method |
| CN105956760A (en) * | 2016-04-27 | 2016-09-21 | 河海大学 | Intelligent power distribution network situation perception method Based on multivariate spatio-temporal information modeling |
| CN107171435A (en) * | 2017-03-20 | 2017-09-15 | 国网浙江义乌市供电公司 | Power distribution network monitors energy conserving system |
| CN108173347A (en) * | 2018-03-06 | 2018-06-15 | 南京赫曦电气有限公司 | Non-intrusion type based on Internet of Things Network Communication matches power load monitoring device and method |
Non-Patent Citations (2)
| Title |
|---|
| 熊鑫欣: ""城市配网自动化系统方案的规划分析"", 《电子制作》 * |
| 黄蔓云 等: ""基于历史数据挖掘的配电网态势感知方法"", 《电网技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112350313A (en) * | 2020-10-29 | 2021-02-09 | 国网山东省电力公司临沂供电公司 | Low-voltage distribution automatic monitoring and processing system |
| CN112350313B (en) * | 2020-10-29 | 2023-03-07 | 国网山东省电力公司临沂供电公司 | Low-voltage distribution automatic monitoring and processing system |
| CN114389642A (en) * | 2021-12-08 | 2022-04-22 | 广东电网有限责任公司 | Distribution network communication method and system based on edge Internet of things agent |
| CN114389642B (en) * | 2021-12-08 | 2023-10-10 | 广东电网有限责任公司 | Distribution network communication method and system based on edge internet of things proxy |
| CN114325374A (en) * | 2021-12-30 | 2022-04-12 | 广东电网有限责任公司 | Low-voltage shunt switch monitoring device and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5616330B2 (en) | Method and system for managing a power grid | |
| CN101413981B (en) | Electric power system operation standby reliability testing system | |
| CN113644745A (en) | Energy storage power station intelligence operation and maintenance analytic system based on cloud pipe limit end | |
| CN111509857A (en) | Low-voltage distribution transformer power-failure-free rapid monitoring system and method | |
| CN203166626U (en) | Intelligent traction substation | |
| CN103023149A (en) | Intelligent power distribution terminal and intelligent power distribution system based on IEC61850 | |
| JP2012512619A (en) | Power grid supply interruption and failure status management | |
| CN103560590B (en) | Electric network intelligent scheduling framework and its implementation | |
| CN107832946A (en) | A kind of power energy monitoring and controlling for workshop and management method and system | |
| CN201926727U (en) | Power quality monitor | |
| CN103744386B (en) | Offshore oil platform energy managing and control system | |
| Thomas et al. | Distribution automation leading to a smarter grid | |
| CN102338835B (en) | Power quality dynamic monitoring system | |
| CN109560608B (en) | Intelligent management and control system of distributed photovoltaic access power distribution network | |
| CN109167433A (en) | A kind of substation concentrates the classification managing and control system and its method of O&M | |
| Kezunovic et al. | Merging PMU, operational, and non-operational data for interpreting alarms, locating faults and preventing cascades | |
| CN103545805B (en) | Modeling-based railway power supply arm monitoring method | |
| Xiao et al. | The influence of green development idea on power supply reliability and power quality of distribution network | |
| CN202888970U (en) | Transformer substation secondary equipment data and state on-line collecting device | |
| CN204304620U (en) | A kind of voltage quality monitoring integral system | |
| Lu et al. | Smart power systems and smart grids: toward multi-objective optimization in dispatching | |
| Chen | Research on power system automation communication technology for smart grid | |
| Hao et al. | Data-driven lean management for distribution network | |
| CN205809183U (en) | Power automation network analyzing apparatus | |
| Li et al. | Research on power dispatching automation system for data management of power plant substation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200807 |
|
| RJ01 | Rejection of invention patent application after publication |