CN112910090A - Power grid monitoring system based on cloud storage - Google Patents
Power grid monitoring system based on cloud storage Download PDFInfo
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- CN112910090A CN112910090A CN202110126759.4A CN202110126759A CN112910090A CN 112910090 A CN112910090 A CN 112910090A CN 202110126759 A CN202110126759 A CN 202110126759A CN 112910090 A CN112910090 A CN 112910090A
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- data
- power grid
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- 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
- H02J13/00001—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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/604—Tools and structures for managing or administering access control systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
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- 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
- H02J13/00002—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
- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2141—Access rights, e.g. capability lists, access control lists, access tables, access matrices
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The invention discloses a power grid monitoring system based on cloud storage. The data storage nodes are not overlapped with each other, and each data storage node is configured with an independent logic number. And each target data calculation model is provided with a data mining module for realizing the mining of target parameters by accessing the data storage nodes. The invention can realize the distributed storage and the distributed calculation of data, greatly improve the data processing efficiency, thereby finding out the abnormal condition existing in the running process of the power grid in time and realizing early warning.
Description
Technical Field
The invention relates to the field of power grid monitoring, in particular to a power grid monitoring system based on cloud storage.
Background
The whole formed by the substation and the transmission and distribution line of various voltages in the power system is called a power grid, which is called a power grid for short and comprises three units of power transformation, power transmission and power distribution. The running state of the power grid directly influences the power consumption experience and the power consumption satisfaction of users. How to realize effective monitoring and analysis of the operation state of the power grid so as to find the abnormity existing in the operation process of the power grid in time is a problem which needs to be solved urgently at present.
It is known that a large amount of power data (for example, various dielectric losses, leakage currents and variations, unbalanced voltages, partial discharges, Ia, Ib, Ic, In, Uab, Ucb, Ua, Ub, Uc, Un, etc.) may be generated during the operation of the power grid, and the data processing efficiency of the system is greatly affected while a large amount of storage space is occupied, and the system is easily halted, and data scrambling is easily caused, and meanwhile, the worker may not find out the abnormal condition existing during the operation of the power grid In time.
Disclosure of Invention
The invention aims to provide a power grid monitoring system based on cloud storage, which can realize distributed storage and distributed calculation of data and greatly improve the data processing efficiency, thereby timely finding out abnormal conditions existing in the running process of a power grid and realizing early warning.
In order to solve the technical problem, the invention provides a power grid monitoring system based on cloud storage, which comprises:
and configuring a data storage node for each monitoring node, and configuring a cloud computing node for each target data computing model.
Furthermore, the monitoring node realizes the collection of the power grid operation parameters based on the wireless inclination angle sensing node.
Furthermore, the data storage nodes are not overlapped with each other, and each data storage node is configured with an independent logic number.
Furthermore, each target data calculation model is provided with a data mining module which is used for mining the target data by accessing the data storage nodes.
Furthermore, each target data calculation model is configured with a wakeup module for periodically waking up the target data calculation model to acquire the target data.
Further, each data mining module is provided with an independent data access channel.
Further, when the awakening module monitors that the target parameter quantity mined by the data mining module reaches a preset standard quantity, the target data calculation model corresponding to the data mining module is awakened.
Furthermore, an independent data storage node and an analysis early warning node are configured for the target data.
Further, a data access authority distribution module is configured, and is used for realizing distribution of access operation authorities of each data storage node and each cloud computing node according to identity information uploaded by a user.
The application provides a power grid monitoring system based on cloud storage has following beneficial effect:
(1) the distributed storage and distributed calculation of the power grid operation data can be realized, and the data processing efficiency is greatly improved.
(2) The abnormal conditions existing in the running process of the power grid can be found in time, and early warning is realized.
(3) Each target data calculation model is provided with a data mining module and a wake-up module, so that automatic acquisition of target data can be realized, and a foundation is provided for timely discovery of subsequent abnormal conditions.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the prior art and the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a structural block diagram of a power grid monitoring system based on cloud storage according to the present invention.
Detailed Description
The core of the invention is to provide a power grid monitoring system based on cloud storage, which can realize distributed storage and distributed calculation of data, greatly improve the data processing efficiency, and further can find abnormal conditions existing in the power grid operation process in time and realize early warning.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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, fig. 1 is a block diagram of a power grid monitoring system based on cloud storage according to the present invention, where the system includes:
the method comprises the steps that a data storage node 1 is configured for each monitoring node, a cloud computing node 2 is configured for each target data computing model, the data storage nodes 1 are not overlapped, and each data storage node 1 is configured with an independent logic number.
In this embodiment, the monitoring node acquires power grid operating parameters (load, voltage, and partial discharge) based on the wireless tilt sensor node, preferably selects the WM400 wireless tilt sensor, and is arranged based on the NB-IoT network.
In this embodiment, each target data calculation model is configured with one data mining module 3, which is used for mining target data by accessing the data storage node 1, and each data mining module 3 is configured with an independent data access channel. The data mining module 3 preferably models a convolutional neural network.
In this embodiment, each target data calculation model is configured with a wakeup module 4, which is used to wake up the target data calculation model regularly to acquire target data. Specifically, when the awakening module 4 monitors that the target parameter quantity mined by the data mining module 3 reaches a preset standard quantity, the corresponding target data calculation model is awakened.
In this embodiment, an independent data storage node 1 and an analysis early warning node 5 are configured for target data. The data storage node 1 is used for storing target data, and the analysis early warning node 5 is used for realizing analysis early warning of the target data, wherein when the target data falls into a preset risk threshold, the analysis early warning node 5 is started to realize sending of early warning information.
In this embodiment, a data access right allocation module is configured to allocate access operation rights to each data storage node 1 and each cloud computing node 2 according to identity information uploaded by a user, and the allocation is implemented by data encryption, decryption, isolation locking and release.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A power grid monitoring system based on cloud storage is characterized by comprising:
and configuring a data storage node for each monitoring node, and configuring a cloud computing node for each target data computing model.
2. The cloud storage based power grid monitoring system according to claim 1, wherein the monitoring node is configured to collect the operating parameters of the power grid based on a wireless tilt sensing node.
3. The cloud storage based power grid monitoring system according to claim 1, wherein the data storage nodes are not overlapped with each other, and each data storage node is configured with an independent logic number.
4. The cloud storage based grid monitoring system of claim 1, wherein each target data computation model is configured with a data mining module for mining target data by accessing data storage nodes.
5. The cloud storage-based power grid monitoring system according to claim 4, wherein each target data calculation model is configured with a wake-up module for periodically waking up the target data calculation model to obtain the target data.
6. The cloud storage based grid monitoring system of claim 4, wherein each data mining module is configured with a separate data access channel.
7. The cloud storage-based power grid monitoring system according to claim 5, wherein when the wake-up module monitors that the target parameter amount mined by the data mining module reaches a preset standard amount, the target data calculation model corresponding to the data mining module is woken up.
8. The cloud storage based power grid monitoring system according to claim 1, wherein an independent data storage node and an analysis early warning node are configured for target data.
9. The power grid monitoring system based on cloud storage as claimed in any one of claims 1-8, wherein a data access right assignment module is configured to implement assignment of access operation rights of each data storage node and cloud computing node according to identity information uploaded by a user.
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Cited By (1)
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CN113343300A (en) * | 2021-06-21 | 2021-09-03 | 杭州市电力设计院有限公司余杭分公司 | Power grid data safety protection method and distributed power grid data safety protection system |
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Application publication date: 20210604 |