CN114784974A - Intelligent power grid real-time early warning system - Google Patents
Intelligent power grid real-time early warning system Download PDFInfo
- Publication number
- CN114784974A CN114784974A CN202210537558.8A CN202210537558A CN114784974A CN 114784974 A CN114784974 A CN 114784974A CN 202210537558 A CN202210537558 A CN 202210537558A CN 114784974 A CN114784974 A CN 114784974A
- Authority
- CN
- China
- Prior art keywords
- area
- load
- time
- early warning
- module
- 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.)
- Granted
Links
- 238000004364 calculation method Methods 0.000 claims abstract description 33
- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims description 37
- 229920006395 saturated elastomer Polymers 0.000 claims description 15
- 238000004458 analytical method Methods 0.000 claims description 6
- 239000003086 colorant Substances 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 4
- MHOFGBJTSNWTDT-UHFFFAOYSA-M 2-[n-ethyl-4-[(6-methoxy-3-methyl-1,3-benzothiazol-3-ium-2-yl)diazenyl]anilino]ethanol;methyl sulfate Chemical compound COS([O-])(=O)=O.C1=CC(N(CCO)CC)=CC=C1N=NC1=[N+](C)C2=CC=C(OC)C=C2S1 MHOFGBJTSNWTDT-UHFFFAOYSA-M 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 7
- 230000003449 preventive effect Effects 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- FDZZZRQASAIRJF-UHFFFAOYSA-M malachite green Chemical compound [Cl-].C1=CC(N(C)C)=CC=C1C(C=1C=CC=CC=1)=C1C=CC(=[N+](C)C)C=C1 FDZZZRQASAIRJF-UHFFFAOYSA-M 0.000 description 2
- 206010033799 Paralysis Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
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
- H02J13/00002—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
-
- 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]
-
- 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
-
- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides a real-time early warning system of an intelligent power grid, which is characterized by comprising a monitoring module, a calculation module, a display module and an emergency processing module, wherein the monitoring module is used for acquiring real-time load data at each position in the power grid; the system can intuitively reflect the operation condition of each area in the power grid, process the overloaded area in time, predict and prompt the area which is not overloaded but is possibly overloaded, and is convenient for preventive processing.
Description
Technical Field
The invention relates to the field of power grid safety, in particular to a real-time early warning system for an intelligent power grid.
Background
The power grid load is overlarge, so that the voltage is unstable, the power grid does not operate completely, the power supply capacity is insufficient, the power grid is powered off in a large area due to serious consequences, and even the power grid is paralyzed, and therefore, the real-time monitoring and early warning of the power grid load are very important. The existing method for monitoring the load of the power grid comprises the following steps: the method comprises the steps of extracting power grid load information through a data acquisition device manually arranged on a power grid acquisition point, analyzing and making a report after gathering, carrying out early warning through a reference report, and maintaining a power grid according to early warning information.
The foregoing discussion of the background art is intended only to facilitate an understanding of the present invention. This discussion is not an acknowledgement or admission as to part of the common general knowledge of any of the materials referred to.
Now, a plurality of power grid early warning systems have been developed, and through a great number of searches and references, it is found that the existing early warning systems are disclosed as KR101489854B1, KR101260651B1, CN107979089B and KR101059061B1, and generally include a power grid information acquisition subsystem, a power grid vulnerability assessment subsystem, an early warning subsystem and a safety protection subsystem, wherein the power grid information acquisition subsystem is used for acquiring operation parameters of a power grid, the power grid vulnerability assessment subsystem is used for assessing vulnerability of the power grid according to the operation parameters of the power grid to obtain a power grid vulnerability assessment result, the early warning subsystem is used for sending out power grid safety early warning according to the power grid vulnerability assessment result, the safety protection subsystem is used for taking measures to perform safety protection on the power grid according to early warning conditions, and the early warning subsystem includes an early warning module, a communication module and a user terminal, the early warning module is used for sending early warning information to the user terminal, the communication module is used for establishing data connection between the early warning module and the user terminal, and the user terminal is used for receiving the early warning information. However, the system is not intelligent enough, and the potential risk of the power grid area still in safe operation cannot be predicted, and the power grid which is overloaded cannot be subjected to safe emergency treatment on the premise of reducing the influence.
Disclosure of Invention
The invention aims to provide a real-time early warning system for a smart power grid aiming at the existing defects.
The invention adopts the following technical scheme:
a real-time early warning system for an intelligent power grid comprises a monitoring module, a calculating module, a display module and an emergency processing module, wherein the monitoring module is used for acquiring real-time load data of each position in the power grid, the calculating module is used for calculating and processing the acquired load data to obtain a corresponding early warning grade and sending a processing result to the display module, the display module is used for displaying the early warning grade in a visual mode, and the emergency processing module is used for adjusting the running load according to the early warning grade;
the monitoring module comprises a plurality of current detection units, each current detection unit is used for measuring the real-time current of the corresponding load and uploading the current to the calculation module, and the calculation module calculates the real-time load rate eta in each area after converting the current into success rate:
wherein ,PaTotal real-time operating power, P, for the regionyIs the critical value of the region;
the area with eta less than 80 percent is a normal area, the area with eta more than 80 percent and less than or equal to 100 percent is a saturated area, the area with eta more than 100 percent is an overload area, the display module represents the three areas by different color systems, the calculation module carries out deep analysis on the saturated area, and the emergency processing module carries out load adjustment on the overload area;
the calculation module calculates the limit load value P of the saturation regionmax:
wherein ,Isn-maxThe current detection unit with the number of sn detects the maximum current value in the T time period, and U is the power grid voltage in the area;
the calculation module calculates the instability Us of each current detection unitsn:
wherein ,n0For the number of times that the current detecting unit continuously does not detect the load operation in the period T, T0The accumulated time length of the current detection unit which does not detect the load operation in the T time period;
the calculation module calculates the overload occurrence index OL of the area:
the overload occurrence index OL is used for representing the possibility of upgrading the area from a saturation area to an overload area, and when the overload occurrence index OL exceeds a threshold value, the display module marks prompt information in the corresponding area;
further, the relationship between the RGB components of the display colors in the normal area and the load ratio of the display module is as follows:
the display module displays RGB components of colors in a saturation area and has the following relation with the load ratio:
the display module displays the components of color RGB in the overload region as follows:
R=R2;
G=G2;
B=B2;
wherein ,R0、R1 and R2Respectively a basic red component, a first red component and an early warning red component, G0、G1 and G2Respectively a basic green component, a first green component and an early warning green component, B0、B1 and B2Respectively a basic blue component, a first blue component and an early warning blue component;
further, the emergency processing module calculates a shutdown index CL of the load corresponding to each current detection unit in the overload areasnSequencing the loads from small to large according to the shutdown indexes, and sequentially closing the operation of the loads in sequence until the region is recovered to a saturated region or a normal region;
further, the shutdown index CLsnThe calculation formula of (c) is:
CLsn=δ1·sn_n1+δ2·sn_n2+δ3·sn_n3;
wherein ,δ1Is a time coefficient, δ2To be an important coefficient, δ3For power coefficients, sn _ n1 is a sequence number of loads sorted from large to small according to running time, sn _ n2 is a sequence number of loads sorted from small to large according to running importance, and sn _ n3 is a sequence number of loads sorted from large to small according to running power;
further, the load corresponding to the current detection unit is a single load or a small system composed of a plurality of loads.
The beneficial effects obtained by the invention are as follows:
the system divides the power grid operation condition into normal operation, saturated operation and overload operation, three different color systems are respectively used for displaying, the power grid operation condition can be more intuitively mastered, for the saturated operation area, the calculation module obtains the possibility that the area is upgraded into the overload operation by analyzing the operation data of each load, protective measures can be made in advance based on the analysis result, for the overload operation area, the emergency processing module can recover the area to the normal operation or the saturated operation by closing the operation of a plurality of loads, and the influence generated by the loads selected by rules after the loads are closed is small.
For a better understanding of the features and technical content of the present invention, reference should be made to the following detailed description of the invention and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic view of the overall structural framework of the present invention;
FIG. 2 is a schematic diagram of a data reporting flow of the current detection unit according to the present invention;
FIG. 3 is a flow chart illustrating a process of a computing module processing received data according to the present invention;
FIG. 4 is a schematic view of a process of deep analysis of a saturated region by a computing module according to the present invention;
fig. 5 is a schematic diagram illustrating the processing flow of the emergency processing module according to the present invention for an overloaded area.
Detailed Description
The following is a description of embodiments of the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modifications and various changes in detail without departing from the spirit and scope of the present invention. The drawings of the present invention are for illustrative purposes only and are not drawn to scale. The following embodiments are further detailed to explain the technical matters related to the present invention, but the disclosure is not intended to limit the scope of the present invention.
The first embodiment.
The embodiment provides a real-time early warning system of a smart grid, which is combined with fig. 1 and comprises a monitoring module, a calculating module, a display module and an emergency processing module, wherein the monitoring module is used for acquiring real-time load data of each position in the power grid, the calculating module calculates and processes the acquired load data to obtain a corresponding early warning grade and sends a processing result to the display module, the display module displays the early warning grade in a visual manner, and the emergency processing module adjusts the running load according to the early warning grade;
the monitoring module comprises a plurality of current detection units, each current detection unit is used for measuring the real-time current of the corresponding load and uploading the current to the calculation module, and the calculation module calculates the real-time load rate eta in each area after converting the current into success rate:
wherein ,PaTotal real-time operating power, P, for the regionyIs the critical value of the region;
the area with eta less than 80 percent is a normal area, the area with eta more than 80 percent and less than or equal to 100 percent is a saturated area, the area with eta more than 100 percent is an overload area, the display module represents the three areas by different color systems, the calculation module carries out deep analysis on the saturated area, and the emergency processing module carries out load adjustment on the overload area;
the calculation module calculates the limit load value P of the saturation regionmax:
wherein ,Isn-maxThe current detection unit with the number of sn detects the maximum current value in the T time period, and U is the grid voltage in the area;
the calculation module calculates the instability Us of each current detection unitsn:
wherein ,n0For the number of times that the current detecting unit continuously does not detect the load operation in the period T, T0The accumulated time length of the current detection unit which does not detect the load operation in the T time period is set;
the calculation module calculates the overload occurrence index OL of the area:
the overload occurrence index OL is used for representing the possibility of upgrading the area from a saturation area to an overload area, and when the overload occurrence index OL exceeds a threshold value, the display module marks prompt information in the corresponding area;
the display module displays RGB components of colors in a normal area and has the relation with the load rate as follows:
the display module displays RGB components of colors in a saturation area and has the relation with the load ratio as follows:
the display module displays the components of color RGB in the overload region as follows:
R=R2;
G=G2;
B=B2;
wherein ,R0、R1 and R2Respectively a basic red component, a first red component and an early warning red component, G0、G1 and G2Respectively a base green component, a first green component and a warning green component, B0、B1 and B2Respectively a basic blue component, a first blue component and an early warning blue component;
the emergency processing module calculates the shutdown index CL of the load corresponding to each current detection unit in the overload areasnSequencing the loads from small to large according to the shutdown indexes, and sequentially closing the operation of the loads in sequence until the region is recovered to a saturated region or a normal region;
the shutdown index CLsnThe calculation formula of (c) is:
CLsn=δ1·sn_n1+δ2·sn_n2+δ3·sn_n3;
wherein ,δ1Is a time coefficient, δ2To be an important coefficient, δ3For power coefficients, sn _ n1 is a sequence number of loads sorted from large to small according to running time, sn _ n2 is a sequence number of loads sorted from small to large according to running importance, and sn _ n3 is a sequence number of loads sorted from large to small according to running power;
the load corresponding to the current detection unit is a single load or a small system consisting of a plurality of loads.
Example two.
The embodiment includes the whole content of the first embodiment, and provides a real-time early warning system for an intelligent power grid, which includes a monitoring module, a calculation module, a display module and an emergency processing module, wherein the monitoring module is used for collecting real-time load data at each position in the power grid, the calculation module calculates and processes the collected load data to obtain a corresponding early warning grade and sends a processing result to the display module, the display module displays the early warning grade in a visual manner, and the emergency processing module adjusts the running load according to the early warning grade;
the monitoring module comprises a plurality of current detection units, each current detection unit has a number, the current detection units are used for measuring the current passing through a corresponding load, the current detection units upload the measured current values to the computing module in real time by combining with a graph 2, and when the load does not run, the current detection units report according to a fixed frequency;
with reference to fig. 3, the calculation module classifies the uploaded current values according to the serial numbers of the current detection units, converts the current values belonging to the same classification into success rates, and adds the success rates to obtain the total operating power of a region, the calculation module sets a critical value for each region, and calculates the load factor η of each region based on the critical value:
wherein ,PaTotal real-time operating power, P, for the regionyIs the critical value of the region;
the calculation module sends the load rate of each area to the display module;
the display module adopts three color systems to represent the operation condition of each area, when eta is less than 80%, a first color system is adopted to represent normal operation in the area, when eta is more than 80% and less than or equal to 100%, a second color system is adopted to represent saturated operation in the area, when eta is more than 100%, a third color system is adopted to represent overload operation in the area, and when overload operation occurs, the system generates early warning;
the relationship between the RGB components in the first color system adopted by the display module and the load rate is as follows:
the relationship between the RGB components in the second color system adopted by the display module and the load rate is as follows:
the components of RGB in the third color system adopted by the display module are:
R=R2;
G=G2;
B=B2;
wherein ,R0、R1 and R2Respectively a basic red component, a first red component and a warning red component, G0、G1 and G2Respectively a basic green component, a first green component and an early warning green component, B0、B1 and B2Respectively a base blue component, a first blue component and a pre-blue componentA blue component;
the load operation condition of each area can be rapidly mastered through the real-time change of the color in each power grid area in the display module;
with reference to fig. 4, the calculation module performs deep analysis on the saturation operating region to obtain the historical detection data of each current detection unit in the region, and uses i (t)snThe current change in the T time period till the current moment is shown, wherein sn is the number of the corresponding current detection unit, and the calculation module acquires historical detection data I (T) in each current detection unitsnMaximum value of (1), is denoted as Isn-maxAnd calculating a limit load value Pmax:
The calculation module calculates the instability Us of each current detection unitsn:
wherein ,n0For the number of times that the current detecting unit continuously does not detect the load operation, T0The accumulated time length of the current detection unit which does not detect the load operation is set;
the calculation module calculates the overload occurrence index OL of the area:
the overload occurrence index is used for indicating the possibility that a saturated operation area becomes an overload operation area, when the overload occurrence index exceeds a threshold value, the calculation module sends prompt information to the display module, and the display module marks the prompt information in the corresponding area;
the emergency processing module acquires load operation information in an overload operation area, and selects proper load to close operation according to the load operation information so as to recover the area to normal operation or saturated operation;
referring to fig. 5, the emergency processing module obtains the running time T of the corresponding load according to the historical detection data of the current detection unitsnAnd the treatment is carried out according to the following steps:
s1, making the load according to TsnSequencing from big to small to obtain a first sequence;
s2, sorting the loads from small to large according to the importance of operation to obtain a second sequence;
s3, operating power P of the load according to the loadsnSequencing from big to small to obtain a third sequence;
s4, the sequence serial numbers of each load in the three sequences are sn _ n1, sn _ n2 and sn _ n3 respectively, and the emergency processing module calculates the shutdown index CL of each loadsn:
CLsn=δ1·sn_n1+δ2·sn_n2+δ3·sn_n3;
wherein ,δ1Is a time coefficient, δ2To be an important coefficient, δ3The specific value of the power coefficient is set by a person skilled in the art in practical application;
sorting the loads from small to large according to the shutdown indexes to obtain a fourth sequence;
s5, sequentially acquiring the first m loads from the fourth sequence, wherein m satisfies the following conditions:
wherein ,PiRepresenting the operating power of the ith load in the fourth sequence;
the emergency processing module stops the operation of the m loads by sending an instruction.
The disclosure is only a preferred embodiment of the invention, and is not intended to limit the scope of the invention, so that all equivalent technical changes made by using the contents of the specification and the drawings are included in the scope of the invention, and further, the elements thereof can be updated as the technology develops.
Claims (5)
1. The real-time early warning system of the smart power grid is characterized by comprising a monitoring module, a computing module, a display module and an emergency processing module, wherein the monitoring module is used for acquiring real-time load data of each position in the power grid, the computing module is used for computing the acquired load data to obtain a corresponding early warning grade and sending a processing result to the display module, the display module is used for displaying the early warning grade in a visual mode, and the emergency processing module is used for adjusting the running load according to the early warning grade;
the monitoring module comprises a plurality of current detection units, each current detection unit is used for measuring the real-time current of the corresponding load and uploading the current to the calculation module, and the calculation module calculates the real-time load rate eta in each area after converting the current into success rate:
wherein ,PaTotal real-time operating power, P, for the regionyIs the critical value of the region;
the area with eta less than 80 percent is a normal area, the area with eta more than 80 percent and less than or equal to 100 percent is a saturated area, the area with eta more than 100 percent is an overload area, the display module represents the three areas by different color systems, the calculation module carries out deep analysis on the saturated area, and the emergency processing module carries out load adjustment on the overload area;
the calculation module calculates the limit load value P of the saturation regionmax:
wherein ,Isn-maxIs numbered asThe maximum current value detected by the current detection unit of sn in the T time period, and U is the power grid voltage in the area;
the calculation module calculates the instability Us of each current detection unitsn:
wherein ,n0For the number of times that the current detecting unit continuously does not detect the load operation in the period of time T, T0The accumulated time length of the current detection unit which does not detect the load operation in the T time period is set;
the calculation module calculates the overload occurrence index OL of the area:
the overload occurrence index OL is used for representing the possibility of upgrading the area from a saturation area to an overload area, and when the overload occurrence index OL exceeds a threshold value, the display module marks prompt information in the corresponding area.
2. The real-time early warning system of the smart grid as claimed in claim 1, wherein the display module displays RGB components of colors in the normal area according to a relationship with a load ratio:
the display module displays RGB components of colors in a saturation area and has the following relation with the load ratio:
the display module displays the components of color RGB in the overload region as follows:
R=R2;
G=G2;
B=B2;
wherein ,R0、R1 and R2Respectively a basic red component, a first red component and a warning red component, G0、G1 and G2Respectively a base green component, a first green component and a warning green component, B0、B1 and B2Respectively a basic blue component, a first blue component and a warning blue component.
3. The real-time early warning system for the smart grid as claimed in claim 2, wherein the emergency processing module calculates a shutdown index CL of a load corresponding to each current detection unit in an overload areasnAnd sequencing the loads from small to large according to the shutdown indexes, and sequentially closing the operation of the loads in sequence until the region is recovered to a saturation region or a normal region.
4. The smart grid real-time early warning system as claimed in claim 3, wherein said shutdownShutdown index CLsnThe calculation formula of (2) is as follows:
CLsn=δ1·sn_n1+δ2·sn_n2+δ3·sn_n3;
wherein ,δ1Is a time coefficient, δ2As the significant factor, δ3For power coefficients, sn _ n1 is a sequence number of loads sorted from large to small according to running time, sn _ n2 is a sequence number of loads sorted from small to large according to running importance, and sn _ n3 is a sequence number of loads sorted from large to small according to running power.
5. The smart grid real-time early warning system as claimed in claim 4, wherein the load corresponding to the current detection unit is a single load or a small system composed of a plurality of loads.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210537558.8A CN114784974B (en) | 2022-05-18 | 2022-05-18 | Real-time early warning system of smart power grids |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210537558.8A CN114784974B (en) | 2022-05-18 | 2022-05-18 | Real-time early warning system of smart power grids |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114784974A true CN114784974A (en) | 2022-07-22 |
CN114784974B CN114784974B (en) | 2023-10-10 |
Family
ID=82437493
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210537558.8A Active CN114784974B (en) | 2022-05-18 | 2022-05-18 | Real-time early warning system of smart power grids |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114784974B (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH08210695A (en) * | 1995-02-03 | 1996-08-20 | Yamatake Honeywell Co Ltd | Indicating method of load factor |
CN106199248A (en) * | 2016-06-28 | 2016-12-07 | 国网山东省电力公司昌邑市供电公司 | Network load the Visual Implementation method and device |
CN109242213A (en) * | 2018-10-18 | 2019-01-18 | 国网山东省电力公司应急管理中心 | A kind of fine early warning system of GIS power grid based on rate of load condensate statistics |
CN111540029A (en) * | 2020-04-26 | 2020-08-14 | 东方电子股份有限公司 | Transformer substation load rate visualization method based on interpolation |
CN112688431A (en) * | 2020-12-28 | 2021-04-20 | 国家电网有限公司 | Power distribution network load overload visualization method and system based on big data |
CN113761316A (en) * | 2021-09-27 | 2021-12-07 | 国网安徽省电力有限公司怀远县供电公司 | Distribution transformer area load real-time monitoring method and system based on power distribution network |
-
2022
- 2022-05-18 CN CN202210537558.8A patent/CN114784974B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH08210695A (en) * | 1995-02-03 | 1996-08-20 | Yamatake Honeywell Co Ltd | Indicating method of load factor |
CN106199248A (en) * | 2016-06-28 | 2016-12-07 | 国网山东省电力公司昌邑市供电公司 | Network load the Visual Implementation method and device |
CN109242213A (en) * | 2018-10-18 | 2019-01-18 | 国网山东省电力公司应急管理中心 | A kind of fine early warning system of GIS power grid based on rate of load condensate statistics |
CN111540029A (en) * | 2020-04-26 | 2020-08-14 | 东方电子股份有限公司 | Transformer substation load rate visualization method based on interpolation |
CN112688431A (en) * | 2020-12-28 | 2021-04-20 | 国家电网有限公司 | Power distribution network load overload visualization method and system based on big data |
CN113761316A (en) * | 2021-09-27 | 2021-12-07 | 国网安徽省电力有限公司怀远县供电公司 | Distribution transformer area load real-time monitoring method and system based on power distribution network |
Also Published As
Publication number | Publication date |
---|---|
CN114784974B (en) | 2023-10-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN117093879B (en) | Intelligent operation management method and system for data center | |
CN113111596B (en) | Carbon peak-reaching real-time visual measuring and calculating method based on electric brain center | |
CN111209928A (en) | Transformer equipment early warning and state prediction evaluation method and system | |
CN107563263A (en) | Video image identification method and system based on instrument | |
CN116643110B (en) | High-voltage frequency converter operation monitoring system | |
CN115876258B (en) | Livestock and poultry breeding environment abnormity monitoring and alarming system based on multi-source data | |
CN116400126B (en) | Low-voltage power box with data processing system | |
CN115687447B (en) | Ocean environment monitoring system and method based on Internet of things | |
CN113526282B (en) | Method, device, medium and equipment for diagnosing medium and long-term aging faults of elevator | |
CN115744839A (en) | Remote control method of nitrogen and oxygen production equipment based on Internet of things | |
CN115146726A (en) | KPI abnormity early warning method in intelligent operation and maintenance based on machine learning | |
CN117589233A (en) | Intelligent detection method and system for running state of relay protection device | |
CN110930644A (en) | Cable production safety early warning system | |
CN114784974A (en) | Intelligent power grid real-time early warning system | |
CN106952438A (en) | A kind of fire alarm method based on video image | |
CN112924813B (en) | Power distribution network short-circuit fault monitoring method and device based on electrical data | |
CN116633002B (en) | UV variable frequency power supply parallel operation control system based on artificial intelligence | |
CN116413545B (en) | Method and system for evaluating electric energy quality of direct-current distribution network | |
CN116488578A (en) | Photovoltaic equipment analysis method based on AI visual assistance | |
CN115018722A (en) | Method for predicting instantaneous leaf yield of air separator based on steady-state duty ratio of air separation process | |
CN112351071B (en) | Traditional chinese medicine production remote monitering system based on cloud calculates | |
CN118011128B (en) | Power consumption safety management method, system and storage medium based on artificial intelligence | |
CN107069671B (en) | For the control method of grid-connected control system and the device of application this method | |
CN110909813A (en) | Business abnormal electricity utilization detection method based on edge algorithm | |
CN117893951B (en) | Video thing networking check out test set |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |