CN108599273A - A kind of power grid regulation method and device based on artificial intelligence - Google Patents
A kind of power grid regulation method and device based on artificial intelligence Download PDFInfo
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- CN108599273A CN108599273A CN201810449876.2A CN201810449876A CN108599273A CN 108599273 A CN108599273 A CN 108599273A CN 201810449876 A CN201810449876 A CN 201810449876A CN 108599273 A CN108599273 A CN 108599273A
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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Abstract
The power grid regulation method and device based on artificial intelligence that the invention discloses a kind of, wherein method include：Obtain the historical data base and current weather data of power grid；Historical data base includes historical load data library, historical weather data library, history generation schedule database and history safety measure arrangement data library；First nerves network is called, historical data base and current weather data transfer is given to first nerves network, the first generation schedule and the first safety measure arrangement is calculated；Nervus opticus network is called, history generation schedule database and the first generation schedule are passed into nervus opticus network, the second generation schedule is calculated；Third nerve network is called, history safety measure arrangement data library and the first safety measure arrangement are passed into third nerve network, the second safety measure arrangement is calculated.It is of the invention to provide accurate generation schedule and timely safety measure arrangement according to historical data and current data, ensure that the stabilization of power grid is safely run.
Description
Technical field
The present invention relates to technical field of power systems, and in particular to a kind of power grid regulation method and dress based on artificial intelligence
It sets.
Background technology
With deepening continuously for market-oriented reform, especially a few days ago, in real time etc. spot markets development, give operation of power networks control
System brings challenges, and the popularization and application of power spot market will put forward higher requirements the regulation and control of power grid.
The regulation and control of power grid include the formulation of generation schedule and safety measure arrangement.Due to the rapid hair of the clean energy resourcies such as wind-powered electricity generation
Exhibition, proportion is continuously improved clean energy resource in the power system, but since clean energy resource power generation situation fluctuation is larger, and shows
Generation schedule a few days ago in technology is that technical staff calculates according to off-line data, can frequently result in actual power in this way
There is relatively large deviation with generation schedule a few days ago in amount, affects real-time electric power equilibrium analysis, therefore some areas are even needed to fortune
Line mode makes larger adjustment.In addition, being in the prior art personal by technical staff mostly to the formulation of safety measure arrangement
Obtained by experience, stronger to the subjective judgement dependence of technical staff, there are prodigious randomnesss, and when there is early warning, need
Technical staff provides safety measure arrangement after calculating existing net, verify and calculating, however technical staff provides corresponding peace
Full measure arrangement needs the regular hour, and safety measure arrangement is caused to issue not in time, and safety is brought for the safe operation of power grid
Hidden danger.
Invention content
The power grid regulation method and device based on artificial intelligence that the technical problem to be solved by the invention is to provide a kind of,
Accurate generation schedule and timely safety measure arrangement can be provided according to historical data and current data, ensure the stabilization of power grid
Safely run.
In order to solve the above-mentioned technical problem, one aspect of the present invention provides a kind of power grid regulation side based on artificial intelligence
Method, including：
Obtain the historical data base and current weather data of power grid；The historical data base include historical load data library,
Historical weather data library, history generation schedule database and history safety measure arrangement data library；
First nerves network is called, gives the historical data base and the current weather data transfer to the first nerves
The first generation schedule and the first safety measure arrangement is calculated in network；
Nervus opticus network is called, the history generation schedule database and first generation schedule are passed to described
The second generation schedule is calculated in nervus opticus network；
Third nerve network is called, the history safety measure arrangement data library and the first safety measure arrangement are passed
The third nerve network is passed, the second safety measure arrangement is calculated.
In a kind of optional embodiment, the method further includes：
Confirmation message input by user is obtained, second generation schedule and the second safety measure arrangement are issued to
Each subordinate control station or power plant are implemented.
It is described to obtain confirmation message input by user in a kind of optional embodiment, by second generation schedule
And the second safety measure arrangement is issued to each subordinate control station or power plant is implemented, including：
Adjustment information input by user is obtained, second generation schedule is converted by third hair according to the adjustment information
Electricity plan, third safety measure arrangement is converted into according to the adjustment information by the second safety measure arrangement；
Obtain it is input by user under send instructions, the third generation schedule and the third safety measure arrangement are issued to
Each subordinate control station or power plant are implemented.
In a kind of optional embodiment, the method further includes：
Second generation schedule is stored into the history generation schedule database, second safety measure is pacified
Row stores into the history safety measure arrangement data library.
It is described to store second generation schedule to the history generation schedule number in a kind of optional embodiment
According in library, the second safety measure arrangement is stored into the history safety measure arrangement data library, including：
Adjustment information input by user is obtained, second generation schedule is converted by third hair according to the adjustment information
Electricity plan, third safety measure arrangement is converted into according to the adjustment information by the second safety measure arrangement；
The third generation schedule is stored into the history generation schedule database, the third safety measure is pacified
Row stores into the history safety measure arrangement data library.
In a kind of optional embodiment, the historical data for obtaining power grid and current weather data include：
Obtain original historical data base and current weather data；The original historical data base includes original historical load number
According to library, original historical weather data library, original history generation schedule database and original history safety measure arrangement data library；
The original historical data base is pre-processed, historical data base is obtained.
In a kind of optional embodiment, the pretreatment includes suppressing exception data, data normalization processing and number
It is handled according to weight assignment.
In a kind of optional embodiment, the first nerves network is shot and long term Memory Neural Networks.
In order to reach identical purpose, another aspect of the present invention additionally provides a kind of power grid regulation dress based on artificial intelligence
It sets, including：
Data acquisition module, the historical data base for obtaining power grid and current weather data；The historical data base packet
Include historical load data library, historical weather data library, history generation schedule database and history safety measure arrangement data library；
First computing module, for calling first nerves network, by the historical data base and the current weather data
The first nerves network is passed to, the first generation schedule and the first safety measure arrangement is calculated；
Second computing module, for calling nervus opticus network, by the history generation schedule database and described first
Generation schedule passes to the nervus opticus network, and the second generation schedule is calculated；
Third computing module, for calling third nerve network, by the history safety measure arrangement data library and described
First safety measure arrangement passes to the third nerve network, and the second safety measure arrangement is calculated.
In a kind of optional embodiment, described device further includes：
Confirmation issues module, for obtaining confirmation message input by user, by second generation schedule and described second
Safety measure arrangement is issued to each subordinate control station or power plant is implemented.
In a kind of optional embodiment, the confirmation issues module and includes：
The first adjustment unit is sent out according to the adjustment information by described second for obtaining adjustment information input by user
Electricity plan is converted into third generation schedule, and the second safety measure arrangement is converted into third safety according to the adjustment information
Measure arrangement；
Issuance unit, for obtain it is input by user under send instructions, by the third generation schedule and the third safety
Measure arrangement is issued to each subordinate control station or power plant is implemented.
In a kind of optional embodiment, described device further includes：
Update module is stored, it, will for storing second generation schedule into the history generation schedule database
The second safety measure arrangement is stored into the history safety measure arrangement data library.
In a kind of optional embodiment, the storage update module includes：
Second adjustment unit is sent out according to the adjustment information by described second for obtaining adjustment information input by user
Electricity plan is converted into third generation schedule, and the second safety measure arrangement is converted into third safety according to the adjustment information
Measure arrangement；
Data memory module will for storing the third generation schedule into the history generation schedule database
The third safety measure arrangement is stored into the history safety measure arrangement data library.
In a kind of optional embodiment, the data acquisition module includes：
Initial data acquiring unit, for obtaining original historical data base and current weather data；The original history number
Include original historical load data library, original historical weather data library, original history generation schedule database according to library and original goes through
History safety measure arrangement data library；
Data processing unit obtains historical data base for being pre-processed to the original historical data base.
In a kind of optional embodiment, the pretreatment includes suppressing exception data, data normalization processing and number
It is handled according to weight assignment.
In a kind of optional embodiment, the first nerves network is shot and long term Memory Neural Networks.
Compared with the prior art, a kind of power grid regulation method and device based on artificial intelligence provided by the invention is beneficial
Effect is：First nerves network is trained by historical data base, enables first nerves network according to current weather number
According to intelligently calculating the first generation schedule and the first safety measure arrangement, and the first generation schedule and the first safety measure are pacified
Row is transferred to the nervus opticus network trained by history generation schedule library and respectively by history safety measure arrangement training
Third nerve network calculates the second optimal generation schedule and by nervus opticus network and third nerve network intelligence
Two safety measure arrangements reduce so as to obtain generation schedule and safety measure arrangement according to current weather data intelligence
The input of human resources, improves the accuracy of generation schedule, and substantially reduces the formulation time of safety measure arrangement, ensures
The stabilization of power grid is safely run.
Description of the drawings
In order to illustrate more clearly of technical scheme of the present invention, attached drawing needed in embodiment will be made below
Simply introduce, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, general for this field
For logical technical staff, without creative efforts, other drawings may also be obtained based on these drawings.
Fig. 1 is a kind of flow diagram of power grid regulation method based on artificial intelligence provided by the invention；
Fig. 2 is the flow diagram of the step S5 in Fig. 1；
Fig. 3 is the flow diagram of the step S6 in Fig. 1；
Fig. 4 is the flow diagram of the step S1 in Fig. 1；
Fig. 5 is to implement a kind of schematic diagram of the power grid regulation method based on artificial intelligence provided by the invention；
Fig. 6 is a kind of structural schematic diagram of power grid regulation device based on artificial intelligence provided by the invention；
Fig. 7 is the structural schematic diagram that confirmation in Fig. 6 issues module 5；
Fig. 8 is the structural schematic diagram of the storage update module 6 in Fig. 6；
Fig. 9 is the structural schematic diagram of the data acquisition module 1 in Fig. 6.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is provided by the invention a kind of based on artificial intelligence please refer to Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5, wherein Fig. 1
Power grid regulation method flow diagram, Fig. 2 is the flow diagram of the step S5 in Fig. 1, and Fig. 3 is the step S6 in Fig. 1
Flow diagram, Fig. 4 is the flow diagram of the step S1 in Fig. 1, Fig. 5 be implement it is provided by the invention a kind of based on artificial
The schematic diagram of the power grid regulation method of intelligence.A kind of power grid regulation method based on artificial intelligence provided in an embodiment of the present invention,
Including：
S1, the historical data base and current weather data for obtaining power grid；The historical data base includes historical load data
Library, historical weather data library, history generation schedule database and history safety measure arrangement data library；
S2, first nerves network is called, described first is given by the historical data base and the current weather data transfer
The first generation schedule and the first safety measure arrangement is calculated in neural network；
S3, nervus opticus network is called, the history generation schedule database and first generation schedule is passed to
The nervus opticus network, is calculated the second generation schedule；
S4, third nerve network is called, the history safety measure arrangement data library and first safety measure is pacified
Row passes to the third nerve network, and the second safety measure arrangement is calculated.
The operation principle of the embodiment of the present invention is：The first nerves network is called, by the historical data base to institute
It states first nerves network to be trained, historical load data library, the weather history number described in the first nerves e-learning
According to library, the generation schedule database and the history safety measure arrangement data library so that the first nerves network is connecing
When receiving the current weather data, first generation schedule and the first safety measure arrangement can be intelligently calculated；
The nervus opticus network is called, the nervus opticus network is trained by the history generation schedule database, institute
State history generation schedule database described in nervus opticus e-learning so that the nervus opticus network is receiving described first
When generation schedule, optimal second generation schedule can be intelligently calculated；The third nerve network is called, by described
History safety measure arrangement data library is trained the third nerve network, history described in the third nerve e-learning
Safety measure arrangement data library so that the third nerve network, can intelligence when receiving the first safety measure arrangement
Ground calculates optimal the second safety measure arrangement；By above method, realize according to the current weather data intelligence
Ground obtains optimal second generation schedule and the second safety measure arrangement, reduces the input of human resources, improves
The accuracy of generation schedule, and the formulation time of safety measure arrangement is substantially reduced, ensure that the stabilization of power grid is safely transported
Row.
In a kind of optional embodiment, the method further includes：
S5, confirmation message input by user is obtained, under second generation schedule and second safety measure are arranged
It is sent to each subordinate control station or power plant is implemented.
In a kind of optional embodiment, the step S5 includes：
S51, adjustment information input by user is obtained, second generation schedule is converted into the according to the adjustment information
The second safety measure arrangement is converted into third safety measure arrangement by three generation schedules according to the adjustment information；
S52, obtain it is input by user under send instructions, will be under the third generation schedule and the third safety measure arrange
It is sent to each subordinate control station or power plant is implemented.
User can be adjusted second generation schedule and the second safety measure arrangement, to be obtained by experience
To the more preferably third generation schedule and the third safety measure arrangement, and by the third generation schedule and the third
Safety measure arrangement is issued to each subordinate control station or power plant is implemented.
In a kind of optional embodiment, the method further includes：
S6, second generation schedule is stored into the history generation schedule database, second safety is arranged
Arrangement is applied to store into the history safety measure arrangement data library.
Second generation schedule is stored into the history generation schedule database, the history power generation meter is had updated
Database is drawn, the first nerves network and the nervus opticus network is enable to pass through updated history generation schedule database
Training, more preferably generation schedule is obtained in subsequent calculating.The second safety measure arrangement is stored to the safety
In measure arrangement data library, the history safety measure arrangement data library is had updated, makes the first nerves network and described
Three neural networks can be obtained more preferably by the training in updated history safety measure arrangement data library in subsequent calculating
Safety measure arrangement.
In a kind of optional embodiment, the step S6 includes：
S61, adjustment information input by user is obtained, second generation schedule is converted into the according to the adjustment information
The second safety measure arrangement is converted into third safety measure arrangement by three generation schedules according to the adjustment information；
S62, the third generation schedule is stored into the history generation schedule database, the third is arranged safely
Arrangement is applied to store into the history safety measure arrangement data library.
User can be adjusted second generation schedule and the second safety measure arrangement, to be obtained by experience
It is stored to described to the more preferably third generation schedule and the third safety measure arrangement, and by the third generation schedule
In history generation schedule database, the third safety measure arrangement is stored to the history safety measure arrangement data library
In.
In a kind of optional embodiment, the step S1 includes：
S11, original historical data base and current weather data are obtained；The original historical data base includes that original history is negative
Lotus database, original historical weather data library, original history generation schedule database and original history safety measure arrangement data
Library；
S12, the original historical data base is pre-processed, obtains historical data base.
In a kind of optional embodiment, the pretreatment includes suppressing exception data, data normalization processing and number
It is handled according to weight assignment.
The abnormal data in the original historical data base is deleted, invalid data or clear data is avoided to be introduced into described go through
In history database, and data standardization is carried out, to eliminate dimension impact and variable itself variation size and numerical values recited
It influences, is handled finally by data weighting assignment, to accelerate data iteration speed.Data normalization processing can with but it is unlimited
In the processing of min-max standardized datas or the processing of z-score standardized datas.
In a kind of optional embodiment, the first nerves network is shot and long term Memory Neural Networks.Shot and long term is remembered
It is the neural network with feedback network to recall neural network.
Compared with the prior art, a kind of advantageous effect of power grid regulation method based on artificial intelligence provided by the invention exists
In：First nerves network is trained by historical data base, enables first nerves network according to current weather data intelligence
Ground calculates the first generation schedule and the first safety measure arrangement, and the first generation schedule and the first safety measure arrangement are distinguished
It is transferred to the nervus opticus network trained by history generation schedule library and the third god by history safety measure arrangement training
Through network, the second optimal generation schedule and the second safety are calculated by nervus opticus network and third nerve network intelligence
Measure arrangement reduces manpower money so as to obtain generation schedule and safety measure arrangement according to current weather data intelligence
The input in source, improves the accuracy of generation schedule, and substantially reduces the formulation time of safety measure arrangement, ensures power grid
Stabilization is safely run.
In order to reach identical purpose, another aspect of the present invention additionally provides a kind of power grid regulation dress based on artificial intelligence
It sets.Please refer to Fig. 6, Fig. 7, Fig. 8 and Fig. 9, wherein Fig. 6 is a kind of power grid tune based on artificial intelligence provided by the invention
The structural schematic diagram of device is controlled, Fig. 7 is the structural schematic diagram that confirmations in Fig. 6 issues module 5, and Fig. 8 is that the storage in Fig. 6 updates
The structural schematic diagram of module 6, Fig. 9 are the structural schematic diagrams of the data acquisition module 1 in Fig. 6.Described device includes：
Data acquisition module 1, the historical data base for obtaining power grid and current weather data；The historical data base packet
Include historical load data library, historical weather data library, history generation schedule database and history safety measure arrangement data library；
First computing module 2, for calling first nerves network, by the historical data base and the current weather data
The first nerves network is passed to, the first generation schedule and the first safety measure arrangement is calculated；
Second computing module 3, for calling nervus opticus network, by the history generation schedule database and described first
Generation schedule passes to the nervus opticus network, and the second generation schedule is calculated；
Third computing module 4, for calling third nerve network, by the history safety measure arrangement data library and described
First safety measure arrangement passes to the third nerve network, and the second safety measure arrangement is calculated.
In a kind of optional embodiment, described device further includes：
Confirmation issues module 5, for obtaining confirmation message input by user, by second generation schedule and described second
Safety measure arrangement is issued to each subordinate control station or power plant is implemented.
In a kind of optional embodiment, the confirmation issues module 5 and includes：
The first adjustment unit 51, for obtaining adjustment information input by user, according to the adjustment information by described second
Generation schedule is converted into third generation schedule, and the second safety measure arrangement is converted into third peace according to the adjustment information
Full measure arrangement；
Issuance unit 52, for obtain it is input by user under send instructions, the third generation schedule and the third are pacified
Full measure arrangement is issued to each subordinate control station or power plant is implemented.
In a kind of optional embodiment, described device further includes：
Update module 6 is stored, it, will for storing second generation schedule into the history generation schedule database
The second safety measure arrangement is stored into the history safety measure arrangement data library.
In a kind of optional embodiment, the storage update module 6 includes：
Second adjustment unit 61, for obtaining adjustment information input by user, according to the adjustment information by described second
Generation schedule is converted into third generation schedule, and the second safety measure arrangement is converted into third peace according to the adjustment information
Full measure arrangement；
Data memory module 62, for storing the third generation schedule into the history generation schedule database,
The third safety measure arrangement is stored into the history safety measure arrangement data library.
In a kind of optional embodiment, the data acquisition module 1 includes：
Initial data acquiring unit 11, for obtaining original historical data base and current weather data；The original history
Database includes original historical load data library, original historical weather data library, original history generation schedule database and original
History safety measure arrangement data library；
Data processing unit 12 obtains historical data base for being pre-processed to the original historical data base.
In a kind of optional embodiment, the pretreatment includes suppressing exception data, data normalization processing and number
It is handled according to weight assignment.
In a kind of optional embodiment, the first nerves network is shot and long term Memory Neural Networks.
It should be noted that a kind of power grid regulation device based on artificial intelligence provided in an embodiment of the present invention is for above-mentioned
Power grid regulation method based on artificial intelligence, operation principle and advantageous effect are corresponded in the above-mentioned electricity based on artificial intelligence
Net regulation and control method, thus repeat no more.
Above disclosed is only presently preferred embodiments of the present invention, cannot limit the right of the present invention with this certainly
Range, those skilled in the art can understand all or part of the processes for realizing the above embodiment, and according to right of the present invention
Equivalent variations made by it is required that, still belong to the scope covered by the invention.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Claims (10)
1. a kind of power grid regulation method based on artificial intelligence, which is characterized in that including：
Obtain the historical data base and current weather data of power grid；The historical data base includes historical load data library, history
Weather data library, history generation schedule database and history safety measure arrangement data library；
First nerves network is called, gives the historical data base and the current weather data transfer to the first nerves net
The first generation schedule and the first safety measure arrangement is calculated in network；
Nervus opticus network is called, the history generation schedule database and first generation schedule are passed to described second
The second generation schedule is calculated in neural network；
Third nerve network is called, the history safety measure arrangement data library and the first safety measure arrangement are passed to
The second safety measure arrangement is calculated in the third nerve network.
2. the power grid regulation method based on artificial intelligence as described in claim 1, which is characterized in that the method further includes：
Obtain confirmation message input by user, by second generation schedule and the second safety measure arrangement be issued to it is each under
Grade control station or power plant are implemented.
3. the power grid regulation method based on artificial intelligence as claimed in claim 2, which is characterized in that the acquisition user input
Confirmation message, by second generation schedule and the second safety measure arrangement be issued to each subordinate control station or power plant into
Row is implemented, including：
Adjustment information input by user is obtained, second generation schedule is converted by third power generation meter according to the adjustment information
It draws, the second safety measure arrangement is converted by third safety measure arrangement according to the adjustment information；
Obtain it is input by user under send instructions, by the third generation schedule and the third safety measure arrangement be issued to it is each under
Grade control station or power plant are implemented.
4. the power grid regulation method based on artificial intelligence as described in claim 1, which is characterized in that the method further includes：
Second generation schedule is stored into the history generation schedule database, the second safety measure arrangement is deposited
In storage to the history safety measure arrangement data library.
5. the power grid regulation method based on artificial intelligence as claimed in claim 4, which is characterized in that described to be sent out described second
Electricity plan is stored into the history generation schedule database, and the second safety measure arrangement is stored to history safety
In measure arrangement data library, including：
Adjustment information input by user is obtained, second generation schedule is converted by third power generation meter according to the adjustment information
It draws, the second safety measure arrangement is converted by third safety measure arrangement according to the adjustment information；
The third generation schedule is stored into the history generation schedule database, the third safety measure arrangement is deposited
In storage to the history safety measure arrangement data library.
6. the power grid regulation method based on artificial intelligence as described in claim 1, which is characterized in that described to obtain going through for power grid
History data and current weather data include：
Obtain original historical data base and current weather data；The original historical data base includes original historical load data
Library, original historical weather data library, original history generation schedule database and original history safety measure arrangement data library；
The original historical data base is pre-processed, historical data base is obtained.
7. the power grid regulation method based on artificial intelligence as claimed in claim 6, which is characterized in that the pretreatment includes deleting
Except abnormal data, data normalization processing and the processing of data weighting assignment.
8. the power grid regulation method based on artificial intelligence as described in claim 1, which is characterized in that the first nerves network
For shot and long term Memory Neural Networks.
9. a kind of power grid regulation device based on artificial intelligence, which is characterized in that including：
Data acquisition module, the historical data base for obtaining power grid and current weather data；The historical data base includes going through
History load database, historical weather data library, history generation schedule database and history safety measure arrangement data library；
First computing module, for calling first nerves network, by the historical data base and the current weather data transfer
To the first nerves network, the first generation schedule and the first safety measure arrangement is calculated；
Second computing module, for calling nervus opticus network, by the history generation schedule database and first power generation
Scheduled transfer gives the nervus opticus network, and the second generation schedule is calculated；
Third computing module, for calling third nerve network, by the history safety measure arrangement data library and described first
Safety measure arrangement passes to the third nerve network, and the second safety measure arrangement is calculated.
10. the power grid regulation device based on artificial intelligence as claimed in claim 9, which is characterized in that described device further includes：
Confirmation issues module, for obtaining confirmation message input by user, by second generation schedule and second safety
Measure arrangement is issued to each subordinate control station or power plant is implemented.
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