CN108599273B - Power grid regulation and control method and device based on artificial intelligence - Google Patents
Power grid regulation and control method and device based on artificial intelligence Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 27
- 238000010248 power generation Methods 0.000 claims abstract description 136
- 238000013528 artificial neural network Methods 0.000 claims abstract description 84
- 238000012545 processing Methods 0.000 claims description 14
- 238000012790 confirmation Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 11
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- 238000007781 pre-processing Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 2
- 230000007787 long-term memory Effects 0.000 claims 2
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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 invention discloses a power grid regulation and control method and a device based on artificial intelligence, wherein the method comprises the following steps: acquiring a historical database and current weather data of a power grid; the historical database comprises a historical load database, a historical weather database, a historical power generation plan database and a historical safety measure arrangement database; calling a first neural network, transmitting the historical database and the current weather data to the first neural network, and calculating to obtain a first power generation plan and a first safety measure arrangement; calling a second neural network, transmitting the historical power generation plan database and the first power generation plan to the second neural network, and calculating to obtain a second power generation plan; and calling a third neural network, transmitting the historical safety measure arrangement database and the first safety measure arrangement to the third neural network, and calculating to obtain a second safety measure arrangement. The invention can provide an accurate power generation plan and timely safety measure arrangement according to historical data and current data, and ensure the stable and safe operation of the power grid.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a power grid regulation and control method and device based on artificial intelligence.
Background
With the continuous deepening of market reformation, especially the development of spot markets such as the day ahead, real time and the like, the challenges are brought to the operation control of the power grid, and the popularization and application of the power spot market put higher requirements on the regulation and control of the power grid.
The regulation and control of the power grid comprise the establishment of a power generation plan and safety measure arrangement. Due to the rapid development of clean energy such as wind power and the like, the proportion of the clean energy in an electric power system is continuously improved, but the fluctuation of the power generation condition of the clean energy is large, and a day-ahead power generation plan in the prior art is calculated by technicians according to offline data, so that the actual power generation amount and the day-ahead power generation plan are often greatly deviated, the real-time power balance analysis is influenced, and the operation mode of parts of regions even needs to be greatly adjusted. In addition, in the prior art, the formulation of the safety measure arrangement is mostly obtained by the personal experience of technicians, the subjective judgment dependency on the technicians is strong, the randomness is high, when early warning occurs, the technicians are required to calculate, check and check the existing network and then give the safety measure arrangement, however, the corresponding safety measure arrangement given by the technicians needs a certain time, the safety measure arrangement is not timely issued, and the potential safety hazard is brought to the safe operation of the power grid.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a power grid regulation and control method and device based on artificial intelligence, which can provide an accurate power generation plan and timely safety measure arrangement according to historical data and current data and ensure the stable and safe operation of a power grid.
In order to solve the above technical problem, an aspect of the present invention provides an artificial intelligence-based power grid regulation and control method, including:
acquiring a historical database and current weather data of a power grid; the historical database comprises a historical load database, a historical weather database, a historical power generation plan database and a historical safety measure arrangement database;
calling a first neural network, transmitting the historical database and the current weather data to the first neural network, and calculating to obtain a first power generation plan and a first safety measure arrangement;
calling a second neural network, transmitting the historical power generation plan database and the first power generation plan to the second neural network, and calculating to obtain a second power generation plan;
and calling a third neural network, transmitting the historical safety measure arrangement database and the first safety measure arrangement to the third neural network, and calculating to obtain a second safety measure arrangement.
In an optional embodiment, the method further comprises:
and acquiring confirmation information input by a user, and issuing the second power generation plan and the second safety measure arrangement to each subordinate dispatching station or power plant for implementation.
In an optional implementation manner, the obtaining of the confirmation information input by the user and issuing the second power generation plan and the second safety measure arrangement to each subordinate dispatching station or power plant for implementation includes:
acquiring adjustment information input by a user, converting the second power generation plan into a third power generation plan according to the adjustment information, and converting the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
and acquiring an issuing instruction input by a user, and issuing the third power generation plan and the third safety measure arrangement to each subordinate dispatching station or power plant for implementation.
In an optional embodiment, the method further comprises:
storing the second power generation plan in the historical power generation plan database and the second safety measure schedule in the historical safety measure schedule database.
In an alternative embodiment, the storing the second power generation plan in the historical power generation plan database and the second safety action schedule in the historical safety action schedule database includes:
acquiring adjustment information input by a user, converting the second power generation plan into a third power generation plan according to the adjustment information, and converting the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
storing the third power generation plan in the historical power generation plan database and the third safety measure schedule in the historical safety measure schedule database.
In an optional embodiment, the acquiring historical data and current weather data of the power grid includes:
acquiring an original historical database and current weather data; the original historical database comprises an original historical load database, an original historical weather database, an original historical power generation plan database and an original historical safety measure arrangement database;
and preprocessing the original historical database to obtain a historical database.
In an alternative embodiment, the preprocessing includes deleting abnormal data, data standardizing processing and data weight assignment processing.
In an alternative embodiment, the first neural network is a long-short term memory neural network.
In order to achieve the same object, another aspect of the present invention further provides an artificial intelligence-based power grid regulation and control apparatus, including:
the data acquisition module is used for acquiring a historical database of a power grid and current weather data; the historical database comprises a historical load database, a historical weather database, a historical power generation plan database and a historical safety measure arrangement database;
the first calculation module is used for calling a first neural network, transmitting the historical database and the current weather data to the first neural network, and calculating to obtain a first power generation plan and a first safety measure arrangement;
the second calculation module is used for calling a second neural network, transmitting the historical power generation plan database and the first power generation plan to the second neural network, and calculating to obtain a second power generation plan;
and the third calculation module is used for calling a third neural network, transmitting the historical safety measure arrangement database and the first safety measure arrangement to the third neural network, and calculating to obtain a second safety measure arrangement.
In an alternative embodiment, the apparatus further comprises:
and the confirmation issuing module is used for acquiring confirmation information input by a user and issuing the second power generation plan and the second safety measure to each subordinate dispatching station or power plant for implementation.
In an optional implementation manner, the acknowledgement issuing module includes:
a first adjusting unit, configured to obtain adjustment information input by a user, convert the second power generation plan into a third power generation plan according to the adjustment information, and convert the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
and the issuing unit is used for acquiring an issuing instruction input by a user and issuing the third power generation plan and the third safety measure to each subordinate dispatching station or power plant for implementation.
In an alternative embodiment, the apparatus further comprises:
and the storage updating module is used for storing the second power generation plan into the historical power generation plan database and storing the second safety measure arrangement into the historical safety measure arrangement database.
In an optional embodiment, the storage update module comprises:
the second adjusting unit is used for acquiring adjusting information input by a user, converting the second power generation plan into a third power generation plan according to the adjusting information, and converting the second safety measure arrangement into a third safety measure arrangement according to the adjusting information;
a data storage module for storing the third power generation plan in the historical power generation plan database and storing the third safety measure schedule in the historical safety measure schedule database.
In an alternative embodiment, the data acquisition module includes:
the original data acquisition unit is used for acquiring an original historical database and current weather data; the original historical database comprises an original historical load database, an original historical weather database, an original historical power generation plan database and an original historical safety measure arrangement database;
and the data processing unit is used for preprocessing the original historical database to obtain a historical database.
In an alternative embodiment, the preprocessing includes deleting abnormal data, data standardizing processing and data weight assignment processing.
In an alternative embodiment, the first neural network is a long-short term memory neural network.
Compared with the prior art, the power grid regulation and control method and device based on artificial intelligence provided by the invention have the beneficial effects that: the first neural network is trained through the historical database, so that the first neural network can intelligently calculate a first power generation plan and a first safety measure arrangement according to current weather data, the first power generation plan and the first safety measure arrangement are respectively transmitted to a second neural network trained through the historical power generation plan library and a third neural network trained through the historical safety measure arrangement, and the optimal second power generation plan and the optimal second safety measure arrangement are intelligently calculated through the second neural network and the third neural network, so that the power generation plan and the safety measure arrangement can be intelligently obtained according to the current weather data, the investment of human resources is reduced, the accuracy of the power generation plan is improved, the formulation time of the safety measure arrangement is greatly shortened, and the stable and safe operation of a power grid is guaranteed.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a power grid regulation method based on artificial intelligence provided by the present invention;
FIG. 2 is a schematic flow chart of step S5 in FIG. 1;
FIG. 3 is a schematic flow chart of step S6 in FIG. 1;
FIG. 4 is a schematic flow chart of step S1 in FIG. 1;
FIG. 5 is a schematic diagram of an artificial intelligence-based power grid regulation method according to the present invention;
FIG. 6 is a schematic structural diagram of an artificial intelligence-based power grid regulation and control device provided by the invention;
fig. 7 is a schematic structural diagram of the acknowledgement issuing module 5 in fig. 6;
FIG. 8 is a schematic diagram of the structure of the storage update module 6 in FIG. 6;
fig. 9 is a schematic structural diagram of the data acquisition module 1 in fig. 6.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, fig. 2, fig. 3, fig. 4 and fig. 5, in which fig. 1 is a schematic flowchart of an artificial intelligence-based power grid regulation method according to the present invention, fig. 2 is a schematic flowchart of step S5 in fig. 1, fig. 3 is a schematic flowchart of step S6 in fig. 1, fig. 4 is a schematic flowchart of step S1 in fig. 1, and fig. 5 is a schematic diagram of an artificial intelligence-based power grid regulation method according to the present invention. The embodiment of the invention provides a power grid regulation and control method based on artificial intelligence, which comprises the following steps:
s1, acquiring a historical database of the power grid and current weather data; the historical database comprises a historical load database, a historical weather database, a historical power generation plan database and a historical safety measure arrangement database;
s2, calling a first neural network, transmitting the historical database and the current weather data to the first neural network, and calculating to obtain a first power generation plan and a first safety measure arrangement;
s3, calling a second neural network, transferring the historical power generation plan database and the first power generation plan to the second neural network, and calculating to obtain a second power generation plan;
and S4, calling a third neural network, transmitting the historical safety measure arrangement database and the first safety measure arrangement to the third neural network, and calculating to obtain a second safety measure arrangement.
The working principle of the embodiment of the invention is as follows: calling the first neural network, training the first neural network through the historical database, and enabling the first neural network to learn the historical load database, the historical weather database, the power generation plan database and the historical safety measure arrangement database, so that the first neural network can intelligently calculate the first power generation plan and the first safety measure arrangement when receiving the current weather data; calling the second neural network, training the second neural network through the historical power generation plan database, and learning the historical power generation plan database by the second neural network so that the second neural network can intelligently calculate the optimal second power generation plan when receiving the first power generation plan; calling the third neural network, training the third neural network through the historical safety measure arrangement database, and learning the historical safety measure arrangement database by the third neural network so that the third neural network can intelligently calculate the optimal second safety measure arrangement when receiving the first safety measure arrangement; by the method, the optimal second power generation plan and the second safety measure arrangement are intelligently obtained according to the current weather data, the investment of human resources is reduced, the accuracy of the power generation plan is improved, the setting time of the safety measure arrangement is greatly shortened, and the stable and safe operation of a power grid is guaranteed.
In an optional embodiment, the method further comprises:
and S5, acquiring confirmation information input by a user, and issuing the second power generation plan and the second safety measure to each subordinate dispatching station or power plant for implementation.
In an alternative embodiment, the step S5 includes:
s51, acquiring adjustment information input by a user, converting the second power generation plan into a third power generation plan according to the adjustment information, and converting the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
and S52, acquiring an issuing instruction input by a user, and issuing the third power generation plan and the third safety measure to each subordinate dispatching station or power plant for implementation.
The user may adjust the second power generation plan and the second safety measure arrangement to obtain a better third power generation plan and a better third safety measure arrangement through experience, and issue the third power generation plan and the third safety measure arrangement to each subordinate dispatching station or power plant for implementation.
In an optional embodiment, the method further comprises:
and S6, storing the second power generation plan into the historical power generation plan database, and storing the second safety measure arrangement into the historical safety measure arrangement database.
And storing the second power generation plan into the historical power generation plan database, updating the historical power generation plan database, and enabling the first neural network and the second neural network to obtain a better power generation plan in subsequent calculation through training of the updated historical power generation plan database. And storing the second safety measure arrangement into the safety measure arrangement database, updating the historical safety measure arrangement database, and enabling the first neural network and the third neural network to obtain a better safety measure arrangement in subsequent calculation through training of the updated historical safety measure arrangement database.
In an alternative embodiment, the step S6 includes:
s61, acquiring adjustment information input by a user, converting the second power generation plan into a third power generation plan according to the adjustment information, and converting the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
and S62, storing the third power generation plan into the historical power generation plan database, and storing the third safety measure arrangement into the historical safety measure arrangement database.
The user may adjust the second power generation plan and the second safety measure schedule to obtain a better third power generation plan and a better third safety measure schedule through experience, store the third power generation plan in the historical power generation plan database, and store the third safety measure schedule in the historical safety measure schedule database.
In an alternative embodiment, the step S1 includes:
s11, acquiring an original historical database and current weather data; the original historical database comprises an original historical load database, an original historical weather database, an original historical power generation plan database and an original historical safety measure arrangement database;
and S12, preprocessing the original historical database to obtain a historical database.
In an alternative embodiment, the preprocessing includes deleting abnormal data, data standardizing processing and data weight assignment processing.
And deleting abnormal data in the original historical database, avoiding invalid data or blank data from being introduced into the historical database, carrying out data standardization processing to eliminate dimension influence and influence of the variable self variation size and numerical value size, and finally carrying out data weight assignment processing to accelerate data iteration speed. The data normalization process may be, but is not limited to, a min-max normalized data process or a z-score normalized data process.
In an alternative embodiment, the first neural network is a long-short term memory neural network. The long-short term memory neural network is a neural network with a feedback network.
Compared with the prior art, the power grid regulation and control method based on artificial intelligence provided by the invention has the beneficial effects that: the first neural network is trained through the historical database, so that the first neural network can intelligently calculate a first power generation plan and a first safety measure arrangement according to current weather data, the first power generation plan and the first safety measure arrangement are respectively transmitted to a second neural network trained through the historical power generation plan library and a third neural network trained through the historical safety measure arrangement, and the optimal second power generation plan and the optimal second safety measure arrangement are intelligently calculated through the second neural network and the third neural network, so that the power generation plan and the safety measure arrangement can be intelligently obtained according to the current weather data, the investment of human resources is reduced, the accuracy of the power generation plan is improved, the formulation time of the safety measure arrangement is greatly shortened, and the stable and safe operation of a power grid is guaranteed.
In order to achieve the same purpose, the invention also provides a power grid regulation and control device based on artificial intelligence. Please refer to fig. 6, 7, 8 and 9, wherein fig. 6 is a schematic structural diagram of an artificial intelligence-based power grid regulation and control device provided by the present invention, fig. 7 is a schematic structural diagram of a confirmation issuing module 5 in fig. 6, fig. 8 is a schematic structural diagram of a storage updating module 6 in fig. 6, and fig. 9 is a schematic structural diagram of a data obtaining module 1 in fig. 6. The device comprises:
the data acquisition module 1 is used for acquiring a historical database of a power grid and current weather data; the historical database comprises a historical load database, a historical weather database, a historical power generation plan database and a historical safety measure arrangement database;
the first calculation module 2 is used for calling a first neural network, transmitting the historical database and the current weather data to the first neural network, and calculating to obtain a first power generation plan and a first safety measure arrangement;
the second calculation module 3 is used for calling a second neural network, transmitting the historical power generation plan database and the first power generation plan to the second neural network, and calculating to obtain a second power generation plan;
and the third calculation module 4 is used for calling a third neural network, transmitting the historical safety measure arrangement database and the first safety measure arrangement to the third neural network, and calculating to obtain a second safety measure arrangement.
In an alternative embodiment, the apparatus further comprises:
and the confirmation issuing module 5 is configured to acquire confirmation information input by a user, and issue the second power generation plan and the second safety measure arrangement to each subordinate dispatching station or power plant for implementation.
In an optional implementation manner, the acknowledgement issuing module 5 includes:
a first adjusting unit 51, configured to obtain adjustment information input by a user, convert the second power generation plan into a third power generation plan according to the adjustment information, and convert the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
and the issuing unit 52 is configured to obtain an issuing instruction input by a user, and issue the third power generation plan and the third safety measure arrangement to each subordinate dispatching station or power plant for implementation.
In an alternative embodiment, the apparatus further comprises:
a storage updating module 6, configured to store the second power generation plan in the historical power generation plan database, and store the second safety measure schedule in the historical safety measure schedule database.
In an alternative embodiment, the storage update module 6 includes:
a second adjustment unit 61, configured to acquire adjustment information input by a user, convert the second power generation plan into a third power generation plan according to the adjustment information, and convert the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
a data storage module 62 for storing the third power generation plan in the historical power generation plan database and the third safety measure schedule in the historical safety measure schedule database.
In an alternative embodiment, the data acquisition module 1 comprises:
an original data acquiring unit 11, configured to acquire an original historical database and current weather data; the original historical database comprises an original historical load database, an original historical weather database, an original historical power generation plan database and an original historical safety measure arrangement database;
and the data processing unit 12 is configured to preprocess the original historical database to obtain a historical database.
In an alternative embodiment, the preprocessing includes deleting abnormal data, data standardizing processing and data weight assignment processing.
In an alternative embodiment, the first neural network is a long-short term memory neural network.
It should be noted that, the power grid regulation and control device based on artificial intelligence provided by the embodiment of the present invention is used for the power grid regulation and control method based on artificial intelligence, and the working principle and the beneficial effects thereof correspond to the power grid regulation and control method based on artificial intelligence one by one, and thus are not described again.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (7)
1. A power grid regulation and control method based on artificial intelligence is characterized by comprising the following steps:
acquiring a historical database and current weather data of a power grid; the historical database comprises a historical load database, a historical weather database, a historical power generation plan database and a historical safety measure arrangement database;
training a first neural network through the historical database so that the first neural network can calculate a first power generation plan and a first safety measure arrangement according to the current weather data; wherein the first neural network is a long-term and short-term memory neural network;
training a second neural network through the historical power generation plan database so that the second neural network can calculate a second power generation plan according to the first power generation plan;
training a third neural network through the historical safety measure arrangement database so that the third neural network calculates a second safety measure arrangement according to the first safety measure arrangement;
and acquiring confirmation information input by a user, and issuing the second power generation plan and the second safety measure arrangement to each subordinate dispatching station or power plant for implementation.
2. The artificial intelligence based power grid regulation method according to claim 1, wherein the obtaining of the confirmation information input by the user and the issuing of the second power generation plan and the second safety measure arrangement to each subordinate dispatching station or power plant for implementation comprises:
acquiring adjustment information input by a user, converting the second power generation plan into a third power generation plan according to the adjustment information, and converting the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
and acquiring an issuing instruction input by a user, and issuing the third power generation plan and the third safety measure arrangement to each subordinate dispatching station or power plant for implementation.
3. The artificial intelligence based power grid regulation method of claim 1, further comprising:
storing the second power generation plan in the historical power generation plan database and the second safety measure schedule in the historical safety measure schedule database.
4. The artificial intelligence based power grid regulation method of claim 3, wherein storing the second power generation plan into the historical power generation plan database and storing the second safety action schedule into the historical safety action schedule database comprises:
acquiring adjustment information input by a user, converting the second power generation plan into a third power generation plan according to the adjustment information, and converting the second safety measure arrangement into a third safety measure arrangement according to the adjustment information;
storing the third power generation plan in the historical power generation plan database and the third safety measure schedule in the historical safety measure schedule database.
5. The artificial intelligence based power grid regulation method of claim 1, wherein the obtaining historical data and current weather data of the power grid comprises:
acquiring an original historical database and current weather data; the original historical database comprises an original historical load database, an original historical weather database, an original historical power generation plan database and an original historical safety measure arrangement database;
and preprocessing the original historical database to obtain a historical database.
6. The artificial intelligence based power grid regulation method of claim 5, wherein the preprocessing comprises abnormal data deletion, data normalization processing, and data weight assignment processing.
7. The utility model provides a power grid regulation and control device based on artificial intelligence which characterized in that includes:
the data acquisition module is used for acquiring a historical database of a power grid and current weather data; the historical database comprises a historical load database, a historical weather database, a historical power generation plan database and a historical safety measure arrangement database;
the first calculation module is used for training a first neural network through the historical database so that the first neural network calculates a first power generation plan and a first safety measure arrangement according to the current weather data; wherein the first neural network is a long-term and short-term memory neural network;
the second calculation module is used for training a second neural network through the historical power generation plan database so that the second neural network can calculate a second power generation plan according to the first power generation plan;
the third calculation module is used for training a third neural network through the historical safety measure arrangement database so that the third neural network can calculate a second safety measure arrangement according to the first safety measure arrangement;
and the confirmation issuing module is used for acquiring confirmation information input by a user and issuing the second power generation plan and the second safety measure to each subordinate dispatching station or power plant for implementation.
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