CN112350313A - Low-voltage distribution automatic monitoring and processing system - Google Patents
Low-voltage distribution automatic monitoring and processing system Download PDFInfo
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- 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
- H02J13/00001—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 display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H02J13/00002—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 monitoring
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- H—ELECTRICITY
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Abstract
The utility model relates to a low-voltage distribution automation monitoring and processing system, which comprises an acquisition terminal, a plurality of field data processing platforms and a cloud processing platform, wherein the acquisition terminal is used for acquiring the electrical, environmental and state information in a distribution area; the system comprises a receiving terminal, a processing terminal and a processing terminal, wherein the receiving terminal is used for receiving information provided by an acquisition terminal and realizing the processing and analysis of data in a current distribution room through edge calculation; the system is used for receiving information of field data processing platforms in different transformer area ranges and finishing voltage optimization and power supply stop management in a low-voltage power distribution range in a big data calculation mode.
Description
Technical Field
The utility model belongs to the technical field of power equipment, concretely relates to low-voltage distribution automation monitoring and processing system.
Background
The ubiquitous power internet of things is an intelligent service system which surrounds all links of a power system, fully applies modern information and communication technologies such as mobile interconnection and artificial intelligence, realizes the mutual object interconnection and man-machine interaction of all links of the power system, and has the characteristics of comprehensive state sensing, efficient information processing and convenient and flexible application.
The inventor knows that, in the distribution system of the existing low-voltage distribution network, the electric quantity data and the electric power fault information in partial links still adopt a mode of artificial collection, judgment and processing, the application of the ubiquitous electric power internet of things in the low-voltage distribution link is not realized, the monitoring and processing process in the low-voltage distribution field is too dependent on manpower, the real-time situation perception of the distribution network cannot be realized, the functions of multidimensional three-dimensional cooperative control, multi-source big data association analysis and the like are implemented, and the operation efficiency, the power supply capacity analysis and the optimization decision can not be carried out according to the data of the distribution network.
Disclosure of Invention
The present disclosure is directed to overcoming the above-mentioned deficiencies in the art and providing an automatic monitoring and processing system for low voltage distribution, which can solve at least one of the above-mentioned problems.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure: a low-voltage distribution automatic monitoring and processing system comprises an acquisition terminal, a plurality of field data processing platforms and a cloud processing platform, wherein the acquisition terminal is used for acquiring electrical, environmental and state information in a distribution area; and the field data processing platform is used for receiving the information provided by the acquisition terminal and realizing the processing and analysis of the data in the current distribution room through edge calculation.
The cloud processing platform is used for receiving information of the field data processing platforms in different transformer area ranges and completing voltage optimization and power supply stop management in a low-voltage power distribution range in a big data calculation mode.
The field data processing platform comprises a load management module in the platform area, and the load management module can realize the acquisition and monitoring of distributed photovoltaic real-time operation data and grid-connected state and control the distributed photovoltaic load in real time.
The load management module can collect load parameters in the transformer area according to the time latitude and the space latitude, and a data model is established through machine learning so as to complete load prediction, demand analysis, out-of-limit early warning and three-phase imbalance adjustment in the transformer area.
The load management module can acquire running state data, electric quantity data and alarm event information of the electric vehicle charging pile in real time, and meanwhile, a data model of electric vehicle charging management is established through machine learning by combining load prediction, electric vehicle charging requirements and distribution transformer power limitation in a distribution area, so that the stop and start of the electric vehicle charging pile in the distribution area and power control management are realized.
Furthermore, the field data processing platform comprises a power failure management module, wherein the power failure management module can monitor the on-off state of each switch through an acquisition terminal, monitor the voltage and current of each branch, monitor the leakage current condition of each branch, analyze the reason of power failure and the related range of power failure and report power failure information in the range of the platform area;
the power failure management module can generate an active first-aid repair work order according to the reason of power on and the power failure related range and push the active first-aid repair work order to the distribution network mobile operation terminal; and meanwhile, the conditions affecting the user are analyzed, and the power failure information is pushed to the mobile phone of the user client through the cloud processing platform.
Furthermore, the field data processing platform comprises an operation pre-control management analysis module, and the operation pre-control management analysis module can monitor various state quantities of the electrical equipment, accumulate state quantity data, predict the state quantity development trend, utilize big data to discover the correlation between the electrical quantities, and realize accurate evaluation of the operation condition of the electrical equipment.
The operation pre-control management analysis module can monitor the power utilization condition of users in the transformer area, automatically adjust each managed terminal aiming at the conditions of phase deviation, heavy overload and overvoltage, and carry out hidden danger treatment; when the treatment capacity is insufficient, the first-aid repair force is arranged in time through edge calculation.
Furthermore, the field data processing platform comprises an electricity utilization service analysis and management module, the electricity utilization service analysis and management module can early warn a single user of long-time power failure through acquiring information of a terminal, analyze the reasons of the power failure of the user, including arrearage, equipment failure and residence vacancy by time intervals, monitor the electric quantity of each link and provide data support for electricity stealing prevention work;
furthermore, the power utilization service analysis and management module can carry out conventional description on the power utilization behavior of the user, synchronously carry out load abnormal mutation monitoring analysis, judge the indoor fault reason, search the fault point and avoid personal electric shock and fire hazard.
The power utilization service analysis and management module can carry out hierarchical management on users according to the difference of the power supply reliability requirements, provides special services for users with higher requirements in a protocol mode, deeply analyzes the power utilization condition inside the users, finds out potential hazard abnormality in time and guides the users to safely and efficiently use power.
Further, the cloud processing platform comprises a regional voltage optimization control module, the regional voltage optimization control module can collect the switch voltages of each level of a main network, a distribution network and a low-voltage distribution area, a voltage database is established, and the cloud collaborates and jointly carries out the linkage analysis management of the voltage of the medium-low voltage distribution network.
The regional voltage optimization control module can receive real-time voltage data of a transformer area, switching conditions of a reactive power compensation device and transformer gear information, judges overvoltage/low voltage according to a set threshold value, judges regional voltage adjustment or system voltage adjustment according to the real-time voltage data of branches and users with the overvoltage/low voltage, and obtains a voltage regulation strategy.
Furthermore, the regional voltage optimization control module can analyze historical information through cloud computing, establish a data model of overvoltage and low-voltage early warning, and take regulation and control measures in advance to adjust and manage the measures by combining the voltage distribution characteristics of a main network, a distribution network and a distribution area.
The regional voltage optimization control module can conduct big data mining analysis aiming at the high and low voltage conditions of the transformer area, transversely analyze the voltage out-of-limit conditions of different transformer areas of the same power supply line in the same time limit, longitudinally analyze bus voltage, line voltage distribution and transformer area voltage difference information, research voltage regulation measures and schemes from the middle and low voltage ends, track, evaluate and adjust actual effects, and form a regional voltage optimization control strategy.
The beneficial effects of one or more of the above technical solutions are as follows:
in the method, the field data processing platform and the cloud processing platform are matched for use, so that the field data processing platform can be close to one side of a data source and provide a nearest-end data processing service nearby; when a plurality of areas are required to be comprehensively worked, the information of the field data processing platform in different areas can be obtained by the cloud processing platform and processed.
The system can monitor the power consumption information of the distribution transformer, the low-voltage equipment and the terminal user in real time, is convenient for realizing the functions of automatic identification of the connection relation of the distribution transformer, second-level reporting of the power failure and recovery events of the low-voltage user and the like, supports active rush repair of low-voltage faults, and further realizes automatic and intelligent application analysis of low-voltage distribution.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
Fig. 1 is a schematic diagram of a node to a subscriber line of a 10kV distribution substation in an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an overall scheme in an embodiment of the disclosure;
FIG. 3 is a schematic diagram of a public transformer and user segment information collection in an embodiment of the present disclosure;
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In a typical embodiment of the present disclosure, a low-voltage power distribution automatic monitoring and processing system is provided, which includes an acquisition terminal, a plurality of field data processing platforms and a cloud processing platform, and is configured to acquire electrical, environmental and status information within a distribution area; the system comprises a receiving terminal, a processing terminal and a processing terminal, wherein the receiving terminal is used for receiving information provided by an acquisition terminal and realizing the processing and analysis of data in a current distribution room through edge calculation; the system is used for receiving information of field data processing platforms in different transformer area ranges and finishing voltage optimization and power supply stop management in a low-voltage power distribution range in a big data calculation mode.
Fig. 1 shows the section of line from a node of a 10kV substation to a subscriber. To the problem that provides, the solution sets up the sensor on user's table case, distribution transformer, gathers the power consumption information that the user used, such as load factor, idle, active electricity, electric current, voltage, user's electric quantity the condition, uploads the intelligent monitoring platform of rear end and carries out intelligent processing. And finally, the data is visually presented to the service commander. Thereby providing support for the command decisions.
In this embodiment, the conventional electrical quantity terminal collects data, including: the electric quantity of equipment such as switches at all levels, distributed energy, charging piles and voltage reactive power regulation.
The data acquisition of the electrical related quantity terminal comprises the following steps: protection information, SF6, partial discharge, equipment (busbar, transformer, crimping bolt), temperature, transformer temperature, dynamic asset information, tool information and other electrical related quantities.
The environmental quantity terminal data acquisition comprises the following steps: smoke sensation, temperature, humidity, noise, illumination, water immersion, geographical position, entrance guard, identification and other environmental quantities.
The state information includes: partial discharge, temperature, transient waveform and other information of electrical equipment such as switches and distribution transformers, and locks and condensation conditions in the station rooms.
A load management module:
the field data processing platform comprises a load management module in the platform area, the load management module can realize the collection and monitoring of distributed photovoltaic real-time operation data and grid-connected state, and meanwhile, the distributed photovoltaic load is controlled in real time through typical control strategies such as fixed power factor control, droop control, emergency reactive power control and fixed active reactive power control.
The load management module can collect the load parameters in the transformer area according to the time latitude and the space latitude, and a data model is established through machine learning so as to complete load prediction, demand analysis, out-of-limit early warning and three-phase imbalance adjustment in the transformer area.
The load management module can acquire running state data, electric quantity data and alarm event information of the electric vehicle charging pile in real time, and meanwhile, a data model of electric vehicle charging management is established through machine learning by combining load prediction, electric vehicle charging requirements and distribution transformer power limitation in a distribution area, so that the stop and start of the electric vehicle charging pile in the distribution area and power control management are realized.
In the module, a charging management strategy is formulated by combining three main factors of the platform area distribution transformer load prediction, the platform area electric vehicle charging demand and the platform area distribution transformer power limitation, and a stop-start control management scheme of the charging pile is realized.
The module researches a hierarchical power prediction technology of distributed source load generation and power utilization power and a dynamic estimation technology of short-term power prediction errors by analyzing the correlation between the sequence output characteristics and the space output of the complex uncertain distributed source load.
And the new energy acquisition terminal inquires telesignalling, telemetering and fault information of the lower inverter, judges the current grid-connected state of the inverter according to the information and carries out ordered grid-connected management.
The power failure management module:
the power failure management module can build a state monitoring network which covers a low-voltage outgoing line main switch of the distribution transformer, each shunt switch and the electric energy meter to each electric appliance in a transformer area range. The on-off state of each switch is monitored through the acquisition terminal, the voltage and the current of each shunt circuit are monitored, the leakage current condition of each shunt circuit is monitored, the reasons of power failure and the related range of power failure are analyzed, and power failure information is reported.
The power failure management module can acquire user voltage and current information in real time by using a low-voltage power distribution intelligent acquisition terminal, actively senses power failure information through voltage and current data analysis, judges specific power failure users, distinguishes fault power failure or arrearage power failure, researches fault and arrearage judgment strategies of the power failure users, and studies and judges a result pushing mechanism. And further guides the next power failure information release and the development of emergency repair service.
The power failure management module can perform grading processing on various planned, unplanned and fault power failure information, perform big data analysis on the power failure information, evaluate the power supply service level, the equipment operation quality and the maintenance quality and efficiency of the transformer district from the latitudes such as power supply reliability, frequency of power failure time of transformer district households, complaint rate of thousands of households and the like, and provide related data support for service operation, regulation and control command, maintenance strategies and the like.
The field data processing platform of the low-voltage transformer area is required to have an intelligent emergency repair response function and information such as a pushed fault interval, fault type and the like. Automatically generating an active first-aid repair work order and pushing the active first-aid repair work order to a distribution network mobile operation terminal; and meanwhile, the conditions affecting the user are analyzed, and the power failure information is pushed to the mobile phone of the user client through the short message platform and the WeChat platform. The abnormal conditions seen by the user through the short message and WeChat platform can be fed back to the system, and the emergency repair personnel can be helped to study and judge the fault.
The operation precontrol management analysis module:
the operation pre-control management analysis module can monitor various state quantities of the electrical equipment, accumulate state quantity data, predict state quantity development trend, utilize big data to discover correlation among the electrical quantities, and realize accurate evaluation of the operation condition of the electrical equipment.
The operation pre-control management analysis module can monitor the power utilization condition of users in the transformer area, automatically adjust each managed terminal aiming at the conditions of phase deviation, heavy overload and overvoltage, and carry out hidden danger treatment; when the treatment capacity is insufficient, the first-aid repair force is arranged in time through edge calculation.
The electricity utilization service analysis and management module comprises:
the power utilization service analysis and management module can early warn a single user of long-time power failure by acquiring information of the terminal, analyze the reasons of the power failure of the user including arrearage, equipment failure and residence vacancy time by time period, monitor the electric quantity of each link and provide data support for anti-electricity-stealing work.
The power utilization service analysis and management module can carry out conventional description on power utilization behaviors of users, synchronously carry out load abnormal sudden change monitoring analysis, judge the causes of indoor faults, search fault points and avoid personal electric shock and fire hazard.
The power utilization service analysis and management module can carry out hierarchical management on users according to the difference of the power supply reliability requirements, provides special services for the users with higher requirements in a protocol mode, collects the electric quantity information of the internal power utilization equipment of the users, uploads the electric quantity information to the field data processing platform of the low-voltage distribution room, carries out deep analysis on the internal power utilization condition of the users, finds out potential hazard abnormality in time, and guides the users to safely and efficiently use power.
The power utilization service analysis and management module collects and accesses widely distributed low-voltage user power utilization information through collecting information uploaded by the terminal equipment, acquires detailed conditions of user power utilization, analyzes information such as load rules, power quality and abnormal flicker, comprehensively controls running conditions of a distribution network, realizes effective perception of the user power utilization conditions and the low-voltage fault conditions, provides services such as early warning, guidance and suggestion for users, and ensures high-quality power and safe power utilization of the users.
The power utilization service analysis and management module can perform early warning on long-time power failure of a single user, and analyzes the reasons of the power failure of the user, including arrearage, equipment failure, housing vacancy and the like, time by time. And the electric quantity of each link is monitored, and data support is provided for the electricity stealing prevention work.
The power utilization service analysis and management module can monitor indoor power utilization conditions, analyze the power utilization conditions of all electrical appliances, inform a user of a time-of-use power price policy and guide the user to reasonably and orderly use power; and the electricity utilization behavior of the user is conventionally described, load abnormal sudden change monitoring and analysis are synchronously performed, the indoor fault reason is judged, the fault point is searched, and the human body electric shock and fire hazard are avoided.
The area voltage optimization control module:
the regional voltage optimization control module can collect the switch voltages of all levels of a main network, a distribution network and a low-voltage distribution area, a voltage database is established, and the cloud collaborates and jointly carries out the linkage control analysis and management of the voltage of the medium-low voltage distribution network.
The regional voltage optimization control module can receive real-time voltage data of a transformer area, switching conditions of a reactive power compensation device and transformer gear information, judges overvoltage/low voltage according to a set threshold value, judges whether regional voltage adjustment or system voltage adjustment is needed for branches and users with overvoltage/low voltage according to the real-time voltage data, and obtains a voltage regulation strategy.
The regional voltage optimization control module can analyze historical information through cloud computing, establish a data model of overvoltage and low-voltage early warning, and take regulation and control measures in advance to adjust and manage the measures by combining the voltage distribution characteristics of a main network, a distribution network and a distribution area.
The regional voltage optimization control module can conduct big data mining analysis aiming at the high and low voltage conditions of the transformer area, transversely analyze the voltage out-of-limit conditions of different transformer areas of the same power supply line in the same time limit, longitudinally analyze bus voltage, line voltage distribution and transformer area voltage difference information, research voltage regulation measures and schemes from the middle and low voltage ends, track, evaluate and adjust actual effects, and form a regional voltage optimization control strategy.
The module is used for solving the problem of difficult voltage regulation of a low-voltage distribution network widely accessed by distributed photovoltaic, researching a voltage analysis, adjustment and compensation method based on multidimensional data and suitable for online scheduling, providing a voltage optimization control strategy aiming at special working conditions of the low-voltage distribution network,
the module is used for researching the load operation characteristics and the prediction technology of a low-voltage distribution network area, and considering the research of a low-voltage distribution network source load layered and partitioned load prediction method with distributed photovoltaic wide access; the voltage optimization self-discipline-control strategy of the medium and low voltage distribution network with widely accessed distributed photovoltaic is researched. The voltage control problem caused by distributed power access in many areas at present is improved.
The information management and application module comprises:
the information management and application module can perform information registration management on the platform area equipment: the field data processing platform can acquire equipment assets, test detection and geographic position information through the radio frequency codes and the two-dimensional codes additionally arranged on the scanning equipment, and send the information to the cloud processing platform.
The information management and application module can collect accident recording data in a power distribution accident, perform big data mining, identify different equipment and different fault characteristic waveforms, realize rapid fault identification through the waveforms and decide a disposal scheme; meanwhile, event sequences before and after an accident are analyzed through an expert system, and deep reasons of the accident are searched.
The information management and application module can carry out big data mining on daily operation waveforms of the equipment, analyze the operation characteristics of the equipment and the distribution network, form characteristic classification and assist in making inspection/maintenance strategies and engineering construction requirements; and analyzing the correlation between the operation characteristics and the accident recording data, and providing a long-term working suggestion for operation and maintenance personnel.
The three-dimensional beneficial effect of the embodiment is that:
1. the utility model discloses a distribution network of distribution network service system, can be based on the distribution internet of things technical framework of "cloud, manage, limit, end", construct based on the cloud platform framework and based on the automatic main website of the new generation distribution of cloud platform, adopt the communication network of internet of things agreement, possess edge computing function's platform equipment and plug-and-play's all kinds of acquisition terminals, realize joining in marriage the panorama control of net, many business function bear, the heterogeneous data fusion of multisource, end-to-end safety protection, equipment inserts fast, intelligence is patrolled and examined, wisdom operation, predictive maintenance, support and join in marriage the function integration.
2. The deployment and application of the low-voltage intelligent platform area realize ordered storage of mass data, decoupling of data and application, deep processing of big data and micro-service of upper-layer application, and effectively support various advanced function applications of the Internet of things.
3. The power utilization information used by the distribution area is collected, such as load rate, idle power, active power, current, voltage, user electric quantity and the like, and is subjected to logic calculation and analysis, the power utilization information is uploaded to an intelligent management and auxiliary decision technology platform of the power distribution network to be intelligently processed, and finally the power utilization information is presented to power supply service commanders in a visual mode, so that support is provided for command decision, the full collection of equipment information on the distribution area side, active early warning, local monitoring and intelligent decision are realized, and active emergency maintenance service is developed according to the intelligent decision, so that distribution network emergency maintenance command and power distribution network scheduling control are effectively fused, and command is efficient.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. An automated low voltage power distribution monitoring and processing system, comprising:
the acquisition terminal is used for acquiring the electrical, environmental and state information in the transformer area range;
the field data processing platforms are used for receiving the information provided by the acquisition terminal and realizing the processing and analysis of the data in the current distribution room through edge calculation;
and the cloud processing platform is used for receiving the information of the field data processing platforms in different transformer area ranges and finishing voltage optimization and power supply stop management in a low-voltage power distribution range in a big data calculation mode.
2. The automatic monitoring and processing system for low voltage distribution power of claim 1, wherein the field data processing platform comprises a load management module, and the load management module can realize the collection and monitoring of distributed photovoltaic real-time operation data and grid-connected state and control the distributed photovoltaic load in real time;
the load management module can collect load parameters in the transformer area according to time and space latitude, and a data model is established through machine learning so as to complete load prediction, demand analysis, out-of-limit early warning and three-phase imbalance adjustment in the transformer area;
the load management module can acquire running state data, electric quantity data and alarm event information of the electric vehicle charging pile in real time, and a data model of electric vehicle charging management is established through machine learning by combining load prediction, electric vehicle charging demand and distribution transformer power limitation in a distribution area, so that the stop and start of the electric vehicle charging pile in the distribution area and power control management are realized.
3. The automated low-voltage power distribution monitoring and processing system according to claim 1, wherein the field data processing platform comprises a power outage management module: the power failure management module can monitor the on-off state of each switch through the acquisition terminal, monitor the voltage and current of each shunt circuit, monitor the leakage current condition of each shunt circuit, analyze the reasons of power failure and the related range of power failure and report power failure information;
the power failure management module can automatically generate an active emergency repair work order and push the active emergency repair work order to the distribution network mobile operation terminal; meanwhile, the power failure information is pushed to the mobile phone of the user client through the cloud processing platform.
4. The automatic monitoring and processing system for low-voltage distribution power of claim 1, wherein the field data processing platform comprises an operation pre-control management analysis module, and the operation pre-control management analysis module can monitor various state quantities of the electrical equipment, accumulate state quantity data, predict state quantity development trend, and utilize big data to explore correlation among the electrical quantities, so as to realize evaluation of the operation condition of the electrical equipment.
5. The automatic monitoring and processing system for low-voltage power distribution according to claim 1, wherein the field data processing platform comprises a power utilization service analysis and management module, the power utilization service analysis and management module can early warn a single user of long-time power failure by acquiring information of a terminal, and analyze the reason of the power failure of the user time by time.
6. The automatic monitoring and processing system for low-voltage distribution of power of claim 5, wherein the power utilization service analysis and management module can perform routine description on power utilization behaviors of users, synchronously perform load abnormal sudden change monitoring analysis, and judge indoor fault reasons and fault points; and according to the difference of the power supply reliability requirements, the users are managed in a grading way, and special services are provided for the users with higher requirements in a protocol way.
7. The automatic monitoring and processing system for low-voltage distribution according to claim 1, wherein the cloud processing platform comprises an area voltage optimization control module, the area voltage optimization control module can collect the switch voltages of each level of a main network, a distribution network and a low-voltage distribution area, establish a voltage database and perform the linkage control of the voltage of the medium-voltage and low-voltage distribution network.
8. The low-voltage power distribution automation monitoring and processing system of claim 7,
the regional voltage optimization control module can analyze historical information through cloud computing and establish a data model of overvoltage and low-voltage early warning;
the regional voltage optimization control module can conduct big data mining analysis according to the high and low voltage conditions of the transformer area, transversely analyze the voltage out-of-limit conditions of different transformer areas of the same power supply line in the same time limit, longitudinally analyze bus voltage, line voltage distribution and transformer area voltage difference information, and form a regional voltage optimization control strategy.
9. The automatic monitoring and processing system for low voltage distribution according to claim 1, wherein the cloud processing platform comprises an information management and application module, and the information management and application module can perform information registration management on the distribution room equipment: the field data processing platform can scan the additionally-installed radio frequency codes and the two-dimensional codes through the scanning equipment, acquire equipment assets, test detection and geographical position information and send the information to the cloud processing platform;
the information management and application module can collect accident recording data in a power distribution accident, perform big data mining, identify different equipment and different fault characteristic waveforms, realize rapid fault identification through the waveforms and decide a disposal scheme; meanwhile, event sequences before and after an accident are analyzed through an expert system, and deep reasons of the accident are searched.
10. The low-voltage power distribution automation monitoring and processing system of claim 9,
the information management and application module can carry out big data mining on daily operation waveforms of the equipment, analyze the operation characteristics of the equipment and the distribution network and form characteristic classification.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113269483A (en) * | 2021-04-09 | 2021-08-17 | 和美（深圳）信息技术股份有限公司 | Management method, device, medium and electronic equipment of intelligent vault system |
| CN113949158A (en) * | 2021-10-14 | 2022-01-18 | 广东电网有限责任公司 | Plug-and-play power distribution station intelligent terminal |
| CN114006468A (en) * | 2021-10-19 | 2022-02-01 | 国网山东省电力公司营销服务中心(计量中心) | Platform district power consumption information analysis system |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117639280B (en) * | 2024-01-25 | 2024-04-12 | 国网四川省电力公司天府新区供电公司 | Cloud computing-based intelligent power grid fault monitoring system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101951027A (en) * | 2010-09-01 | 2011-01-19 | 中国电力科学研究院 | Uniform data acquisition and monitoring system of low-medium voltage power distribution network |
| CN102339054A (en) * | 2011-09-19 | 2012-02-01 | 江西省电力科学研究院 | Linkage control method of distribution transformer load management and electromobile charging process |
| CN103761625A (en) * | 2014-02-13 | 2014-04-30 | 国家电网公司 | Outage management system based on information exchange bus and data processing method thereof |
| CN104682561A (en) * | 2015-02-28 | 2015-06-03 | 平高集团智能电气有限公司 | Method for optimizing transformer area by using intelligent cloud service system |
| CN109217320A (en) * | 2018-11-07 | 2019-01-15 | 华北电力大学 | A kind of electric power system control management method |
| CN109494757A (en) * | 2018-11-14 | 2019-03-19 | 中国电力科学研究院有限公司 | A kind of voltage power-less operation method for early warning and system |
| CN111509857A (en) * | 2020-04-30 | 2020-08-07 | 广东电网有限责任公司 | Low-voltage distribution transformer power-failure-free rapid monitoring system and method |
| CN111525684A (en) * | 2019-02-01 | 2020-08-11 | 上海电气风电集团有限公司 | Operation and maintenance system for wind power plant clustering monitoring based on cloud platform |
| CN111600296A (en) * | 2020-01-09 | 2020-08-28 | 浙江中新电力工程建设有限公司自动化分公司 | Power load prediction system based on edge calculation and prediction method thereof |
-
2020
- 2020-10-29 CN CN202011182000.XA patent/CN112350313B/en active Active
- 2020-10-29 CN CN202310129792.1A patent/CN116317116A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101951027A (en) * | 2010-09-01 | 2011-01-19 | 中国电力科学研究院 | Uniform data acquisition and monitoring system of low-medium voltage power distribution network |
| CN102339054A (en) * | 2011-09-19 | 2012-02-01 | 江西省电力科学研究院 | Linkage control method of distribution transformer load management and electromobile charging process |
| CN103761625A (en) * | 2014-02-13 | 2014-04-30 | 国家电网公司 | Outage management system based on information exchange bus and data processing method thereof |
| CN104682561A (en) * | 2015-02-28 | 2015-06-03 | 平高集团智能电气有限公司 | Method for optimizing transformer area by using intelligent cloud service system |
| CN109217320A (en) * | 2018-11-07 | 2019-01-15 | 华北电力大学 | A kind of electric power system control management method |
| CN109494757A (en) * | 2018-11-14 | 2019-03-19 | 中国电力科学研究院有限公司 | A kind of voltage power-less operation method for early warning and system |
| CN111525684A (en) * | 2019-02-01 | 2020-08-11 | 上海电气风电集团有限公司 | Operation and maintenance system for wind power plant clustering monitoring based on cloud platform |
| CN111600296A (en) * | 2020-01-09 | 2020-08-28 | 浙江中新电力工程建设有限公司自动化分公司 | Power load prediction system based on edge calculation and prediction method thereof |
| CN111509857A (en) * | 2020-04-30 | 2020-08-07 | 广东电网有限责任公司 | Low-voltage distribution transformer power-failure-free rapid monitoring system and method |
Non-Patent Citations (1)
| Title |
|---|
| 陈艳 等: "新型配电物联网后台系统架构设计与关键技术研究", 《供用电》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113269483A (en) * | 2021-04-09 | 2021-08-17 | 和美（深圳）信息技术股份有限公司 | Management method, device, medium and electronic equipment of intelligent vault system |
| CN113269483B (en) * | 2021-04-09 | 2023-09-01 | 和美（深圳）信息技术股份有限公司 | Management method and device of intelligent vault system, medium and electronic equipment |
| CN113949158A (en) * | 2021-10-14 | 2022-01-18 | 广东电网有限责任公司 | Plug-and-play power distribution station intelligent terminal |
| CN113949158B (en) * | 2021-10-14 | 2024-04-26 | 广东电网有限责任公司 | Intelligent terminal for power distribution station of plug-and-play equipment |
| CN114006468A (en) * | 2021-10-19 | 2022-02-01 | 国网山东省电力公司营销服务中心(计量中心) | Platform district power consumption information analysis system |
| CN114006468B (en) * | 2021-10-19 | 2023-11-24 | 国网山东省电力公司营销服务中心(计量中心) | Power consumption information analysis system for transformer area |
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