CN106058866A - Power supply method based on big data - Google Patents
Power supply method based on big data Download PDFInfo
- Publication number
- CN106058866A CN106058866A CN201610559269.2A CN201610559269A CN106058866A CN 106058866 A CN106058866 A CN 106058866A CN 201610559269 A CN201610559269 A CN 201610559269A CN 106058866 A CN106058866 A CN 106058866A
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- CN
- China
- Prior art keywords
- power
- power distribution
- distribution station
- big data
- electricity utilization
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- 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.)
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Classifications
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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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
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- 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
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/16—Electric power substations
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides a power supply method based on big data. The power supply method comprises the steps that 1) an electricity utilization equipment historical big database is constructed; 2) the geographical positions of distributed power distribution stations, the power supply capability of each power distribution station and the corresponding electricity utilization unit of each power distribution station are calculated; 3) a power grid center controls a storage battery to supply power to electricity utilization organizations of high electricity utilization unit level and notifies outage information to the electricity utilization organizations of low user unit level, and transmits outage warning information to the electricity utilization organizations of high user unit level; 4) when the electric quantity of the storage battery is less than a threshold, the power grid center notifies the outage information to storage battery power supply user organizations; and 5) when external power grid voltage is greater than 100V, power of the electricity utilization organizations is supplied by all the power distribution stations and the storage battery is charged simultaneously. The operation and maintenance mode is effectively changed so that intelligent operation and maintenance can be realized, the power grid center is assisted in decision, energy loss can be reduced and work efficiency and energy utilization rate can be enhanced.
Description
Technical field
The present invention relates to electrical network and supply electrical domain, particularly relate to a kind of method of supplying power to based on big data.
Background technology
Big data are put forward by global well-known consulting firm Mai Kenxi the earliest, and big data age, data have been permeated
To each industry and operation function field, become the important factor of production.People are for the excavation of mass data and utilization, in advance
Show a new ripple increase in productivity and the arrival of consumer surplus's tide.Big data are commonly used to describe the big of company's creation
Amount unstructured data and semi-structured data, the feature of big data is that data volume is big, wide variety, value density are low, speed
Fast timeliness is high.Big data technique, it is simply that the technology of quick obtaining valuable information from various types of data.Mainly there is big number
According to collection, the storage of big data prediction, big data and management, big data analysis and excavation, big data exhibiting and application etc..To greatly
Amount, the data that dynamic, energy is lasting, excavated by the new system using big data to be correlated with, new tool, new model, it is possible to acquisition is looked forward to
Industry has the innovation and application of insight and new value.
Along with power grid construction and the development of management technique and computer technology and communication technology are the widest at power domain
General application, simultaneously electricity transaction be the most faced with the marketization this deep change, how to improve the quality of power supply, power supply can
It is the task of top priority of power system by property, efficiency of service.End power distribution network especially as power system manages, and is more to ensure that
Electric power safety, pith reliable, efficient.Distribution management system is exactly to utilize current advanced computer monitoring, network
The operating condition of distribution is monitored, controls by communication, data processing technique, and realizes its equipment, drawing and routine work
Off-line, online management, improve distribution reliability of operation and the automatic segmentation of fault, fault process soon.
Summary of the invention
For the problems referred to above, the present invention provides a kind of method of supplying power to based on big data, and step includes:
1) collect, arrange the geographical location information of each electric unit, electricity consumption organizational level, history electricity consumption basic data, structure
Build electrical equipment history large database concept；
2) Grid Central is by the analysis to big data, calculates the geographical position at Distributed power station, each power distribution station
Power supply capacity and each power distribution station corresponding use electric unit；
3) power supply state of Grid Central real-time detection unit, when the disconnection of described external electrical network or voltage are less than 100V
Time, Grid Central controls accumulator to high being powered by electric unit of described electricity consumption organizational level, and simultaneously to Subscriber Unit
What rank was low sends power off notifying information by electric unit, to Subscriber Unit rank high send power failure early warning information by electric unit；
4) when described accumulator electric-quantity is less than threshold value, Grid Central sends to described storage battery power supply Subscriber Unit and has a power failure
Announcement information；
5) when external electrical network voltage is more than 100V, described electric unit is powered and is transferred to each power distribution station described, the most right
Described accumulator is charged.
Preferred version is: described electric unit is provided with mobile terminal, is used for and described Grid Central communication.
Preferred version is: rank from high to low be followed successively by hospital, school, factory, office, domestic consumer by electric unit.
Preferred version is: described Grid Central detects the running status of each power distribution station in real time, when finding that one of them is joined
Time breaking down in power station, the most described Grid Central controls and fault power distribution station is described therefore fault power distribution station apart near power distribution station
Power supply.
Preferred version is: the step of the running status detecting each power distribution station includes:
A) voltage difference of the power distribution station that detection is connected；
B) when described voltage difference is less than predetermined threshold value, determine that power distribution station is normal, when described voltage difference is more than or equal to pre-
If during threshold value, determining that the power distribution station that voltage is low breaks down, the power distribution station that voltage is high is normal.
The present invention by by the big data of the history of electric unit, optimizes the geographical position at design Distributed power station, each joins
The power supply capacity in power station and each power distribution station corresponding by electric unit, electricity consumption unit area classification in local Ying Ji or not supplied in short-term
Electricity, send power failure early warning and/or power off notifying information to by electric unit.The present invention effectively changes O&M mode, it is achieved O&M intelligence
Energyization, coordinates Grid Central and makes decisions, reduce energy loss, promote work efficiency and energy utilization rate.
Detailed description of the invention
Below in conjunction with detailed description of the invention, the present invention is described in further detail, to make those skilled in the art's reference
Description word can be implemented according to this.
Should be appreciated that used herein such as " have ", " comprising " and " including " term do not allot one or many
Other element individual or the existence of a combination thereof or interpolation.
Big data analysis refers to be analyzed huge data.Big data may be summarized to be 4 V, and data volume is big
(Volume), speed fast (Velocity), type many (Variety), verity (Veracity), some scholar also includes data
It is worth (Value).Big data are as the vocabulary of burning the hotest IT industry, thing followed data warehouse, data safety, number
According to analyzing, that data mining etc. is increasingly becoming, around the utilization of the commercial value of big data, the profit that industry personage falls over each other to pursue is burnt
Point.Along with the arriving of big data age, big data analysis also arises at the historic moment.
Along with power grid construction and the development of management technique and computer technology and communication technology are the widest at power domain
General application, simultaneously electricity transaction be the most faced with the marketization this deep change, how to improve the quality of power supply, power supply can
It is the task of top priority of power system by property, efficiency of service.End power distribution network especially as power system manages, and is more to ensure that
Electric power safety, pith reliable, efficient.Distribution management system is exactly to utilize current advanced computer monitoring, network
The operating condition of distribution is monitored, controls by communication, data processing technique, and realizes its equipment, drawing and routine work
Off-line, online management, improve distribution reliability of operation and the automatic segmentation of fault, fault process soon.
The present invention provides a kind of method of supplying power to based on big data, and step includes: 1) collect, arrange the ground of each electric unit
Reason positional information, electricity consumption organizational level, history electricity consumption basic data, build electrical equipment history large database concept；2) Grid Central
By the analysis to big data, calculate the geographical position at Distributed power station, the power supply capacity of each power distribution station and each join
What power station was corresponding uses electric unit；3) power supply state of Grid Central real-time detection unit, when described external electrical network disconnect or
When voltage is less than 100V, Grid Central controls accumulator to high being powered by electric unit, such as of described electricity consumption organizational level
Hospital, school, and simultaneously to Subscriber Unit rank low send power off notifying information by electric unit, high to Subscriber Unit rank
Power failure early warning information is sent by electric unit；4) when described accumulator electric-quantity is less than threshold value, Grid Central supplies to described accumulator
Electricity Subscriber Unit sends power off notifying information；5) when external electrical network voltage is more than 100V, described electric unit is powered and is transferred to institute
State each power distribution station, described accumulator is charged simultaneously.Described electric unit is provided with mobile terminal, for in described electrical network
Heart communication.Rank from high to low be followed successively by hospital, school, factory, office by electric unit.Described Grid Central detects respectively in real time
The running status of individual power distribution station, when finding that one of them power distribution station breaks down, the most described Grid Central controls to join with fault
Power station is described apart near power distribution station therefore fault power distribution station is powered.The step of the running status detecting each power distribution station includes:
A) voltage difference of the power distribution station that detection is connected；B) when described voltage difference is less than predetermined threshold value, determine that power distribution station is normal, work as institute
When stating voltage difference more than or equal to predetermined threshold value, determining that the power distribution station that voltage is low breaks down, the power distribution station that voltage is high is normal.
Although embodiment of the present invention are disclosed as above, but it is not restricted in description and embodiment listed
Using, it can be applied to various applicable the field of the invention completely, for those skilled in the art, and can be easily
Realizing other amendment, therefore under the general concept limited without departing substantially from claim and equivalency range, the present invention does not limit
In specific details.
Claims (5)
1. method of supplying power to based on big data, it is characterised in that step includes:
1) collect, arrange the geographical location information of each electric unit, electricity consumption organizational level, history electricity consumption basic data, build and use
Electricity device history large database concept；
2) Grid Central is by the analysis to big data, calculates the confession of the geographical position at Distributed power station, each power distribution station
Power and each power distribution station corresponding use electric unit；
3) power supply state of Grid Central real-time detection unit, when described external electrical network disconnects or voltage is less than 100V,
Grid Central controls accumulator to high being powered by electric unit of described electricity consumption organizational level, and simultaneously to Subscriber Unit rank
Low sends power off notifying information by electric unit, to Subscriber Unit rank high send power failure early warning information by electric unit；
4) when described accumulator electric-quantity is less than threshold value, Grid Central sends power off notifying to described storage battery power supply Subscriber Unit
Information；
5) when external electrical network voltage is more than 100V, described electric unit is powered and is transferred to each power distribution station described, simultaneously to described
Accumulator is charged.
Method of supplying power to based on big data the most according to claim 1, it is characterised in that described electric unit is provided with shifting
Dynamic terminal, is used for and described Grid Central communication.
Method of supplying power to based on big data the most according to claim 1, it is characterised in that rank electricity consumption list from high to low
Position is followed successively by hospital, school, factory, office, domestic consumer.
Method of supplying power to based on big data the most according to claim 1, it is characterised in that described Grid Central detects in real time
The running status of each power distribution station, when finding that one of them power distribution station breaks down, the most described Grid Central controls and fault
Power distribution station is described apart near power distribution station therefore fault power distribution station is powered.
Method of supplying power to based on big data the most according to claim 4, it is characterised in that detect the operation of each power distribution station
The step of state includes:
51) voltage difference of the power distribution station that detection is connected；
52) when described voltage difference is less than predetermined threshold value, determine that power distribution station is normal, when described voltage difference is more than or equal to presetting threshold
During value, determining that the power distribution station that voltage is low breaks down, the power distribution station that voltage is high is normal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610559269.2A CN106058866A (en) | 2016-07-15 | 2016-07-15 | Power supply method based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610559269.2A CN106058866A (en) | 2016-07-15 | 2016-07-15 | Power supply method based on big data |
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| Publication Number | Publication Date |
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| CN106058866A true CN106058866A (en) | 2016-10-26 |
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| CN201610559269.2A Pending CN106058866A (en) | 2016-07-15 | 2016-07-15 | Power supply method based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107884644A (en) * | 2017-11-02 | 2018-04-06 | 广东电网有限责任公司中山供电局 | A kind of big data real-time collecting method and system |
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| EP2686932A2 (en) * | 2011-03-18 | 2014-01-22 | Thomson Licensing | Centralised management of the power supply of a plurality of local power grids |
| CN104037774A (en) * | 2013-03-06 | 2014-09-10 | 珠海优特电力科技股份有限公司 | Method and system for controlling devices in micro grid based on priority |
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Application publication date: 20161026 |