CN106849064B - Regional power grid load prediction management system based on meteorological data - Google Patents
Regional power grid load prediction management system based on meteorological data Download PDFInfo
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- 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
Abstract
The invention relates to the technical field of power grid load prediction management, in particular to a regional power grid load prediction management system based on meteorological data, which comprises the following components: the system comprises a plurality of microclimate monitoring points, a data storage unit, a prediction unit and a display unit; the microclimate monitoring point is used for monitoring meteorological information of the power transmission and transformation equipment; the data storage unit is used for storing meteorological information and power grid information; the prediction unit is used for predicting load prediction of the power transmission and transformation equipment and outputting first load prediction information, second load prediction information and third load prediction information; the display unit is used for displaying the output load information. The beneficial effects of this technical scheme are: the load management in the power grid is accurate, and the loss in the power grid can be effectively reduced, so that the energy is saved and the emission is reduced.
Description
Technical Field
The invention relates to the technical field of power grid load prediction management, in particular to a regional power grid load prediction management system based on meteorological data.
Background
Regional power grid load prediction is an important task of the whole power grid dispatching planning department, and the load prediction work is the basic work for realizing dynamic load economic dispatching management and improving the intelligent dispatching level. With the continuous input and application of new technologies and new products in high-voltage and extra-high-voltage power grids in China, more risk factors are increased while large-scale reasonable resource allocation is brought to the power grids, higher requirements are put forward for load prediction, and accurate prediction results can be provided by the load prediction.
In the load prediction of the existing various regional power grids, the meteorological state is rarely predicted, and in the prediction process, the power grid is used as a system which is exposed in the environment and is influenced most by meteorological information. If the meteorological information is not considered, various problems can be caused in the operation process of the power grid.
Disclosure of Invention
In view of the above problems in the prior art, the present invention is directed to provide a meteorological data-based regional power grid load prediction management system, which is applicable to a regional power grid, where the regional power grid includes a plurality of power transmission and transformation devices and a power grid line equipped with the plurality of power transmission and transformation devices; wherein:
the regional power grid load prediction management system comprises:
the microclimate monitoring points are respectively configured on the power transmission and transformation equipment and used for monitoring line meteorological information on the power grid line;
the data storage unit is respectively connected with each microclimate monitoring point, is connected with an external power grid provider server, and is used for acquiring and storing power grid information of the regional power grid from the power grid provider server, acquiring corresponding equipment information from each power transmission and transformation equipment respectively, and acquiring and storing the detected line meteorological information from each microclimate monitoring point respectively, wherein the power grid information comprises the equipment information of each power transmission and transformation equipment;
the prediction unit is connected with the data storage unit, is preset with a hot circuit model aiming at all the power transmission and transformation equipment and is used for respectively processing according to the line meteorological information and the power grid information to obtain load prediction information of each power transmission and transformation equipment;
the load prediction information includes:
processing first load prediction information of the power transmission and transformation equipment according to the real-time line meteorological information;
processing second load prediction information of the power transmission and transformation equipment according to first historical meteorological information with a preset first time span, wherein the first historical meteorological information is included in the power grid information; and
processing third load prediction information of the power transmission and transformation equipment according to second historical meteorological information with a preset second time span, wherein the second historical meteorological information is included in the power grid information;
the first time span is less than the second time span;
and the display unit is connected with the prediction unit and used for displaying the load prediction information.
Preferably, in the present invention, the line weather information includes:
sunshine duration information on the power grid line; and/or
Sunshine intensity information on the power grid line; and/or
Wind speed information on the grid line; and/or
Ambient temperature information on the grid line; and/or
And environmental humidity information on the power grid line.
Preferably, in the present invention, the prediction unit includes a first prediction module, and the first prediction module is configured to obtain the first load prediction information according to the line meteorological information and the hot-circuit model analysis;
the first load prediction information is real-time load prediction information of the power transmission and transformation equipment, and the first load prediction information comprises a first safe operation time threshold and a first safe operation current threshold of the power transmission and transformation equipment.
Preferably, in the present invention, the prediction unit includes a second prediction module, the second prediction module is configured to analyze the line weather information, the first historical weather information, and first future weather information having a time span corresponding to the first time span to obtain the second load prediction information, and the first future weather information is included in the grid information;
the second load forecast information is the load forecast information of the electric transmission and transformation equipment in a time period same as the time span of the first future meteorological information, and the second load forecast information includes a second safe operation time threshold and a second safe operation current threshold of the electric transmission and transformation equipment.
Preferably, in the present invention, the second prediction module includes:
the first hot circuit analysis component is used for processing according to the line meteorological information, the first future meteorological information and the hot circuit model to obtain a corresponding first hot circuit calculation model;
the second hot circuit analysis component is used for processing according to the line meteorological information, the first historical meteorological information and the hot circuit model to obtain a corresponding second hot circuit calculation model;
the first comparison component is respectively connected with the first thermal circuit analysis component and the second thermal circuit analysis component and is used for comparing the first thermal circuit calculation model with the second thermal circuit calculation model to obtain a first comparison result;
and the second comparison component is used for comparing the first comparison result with first historical operation data which is included in the power grid information, has the first time span and is related to the power transmission and transformation equipment to obtain a second comparison result, and obtaining second load prediction information according to the second comparison result.
Preferably, in the present invention, the prediction unit includes a third prediction module, and the third prediction module is configured to obtain the third load prediction information according to the second historical meteorological information and the thermal circuit model analysis;
the third load prediction information is the load prediction information of the electric transmission and transformation equipment in a time period corresponding to the second time span, and the third load prediction information includes a third safe operation time threshold and a third safe operation current threshold of the electric transmission and transformation equipment.
Preferably, in the present invention, the third prediction module includes:
a first prediction component for predicting second future weather information having a corresponding time span with the second time span according to the second historical weather information;
the second prediction component is used for predicting future operation information which has a corresponding time span with the second time span and is related to the power transmission and transformation equipment according to second historical operation information which is contained in the power grid information and has the second time span and is related to the power transmission and transformation equipment;
and the third prediction component is respectively connected with the first prediction component and the second prediction component and is used for analyzing and obtaining the third load prediction information by adopting a fuzzy theory algorithm according to the second future meteorological information and the future operation information.
The beneficial effects of this technical scheme are: through the acquisition of meteorological data and the fusion of historical meteorological information and the operation data of the power grid, the method has the advantages of more data acquisition, complete database, high model calculation of analysis and calculation and accurate prediction result, so that the load management in the power grid is accurate, the loss in the power grid can be effectively reduced, and the energy conservation and emission reduction are realized.
Drawings
FIG. 1 is a schematic block diagram of a system in accordance with a preferred embodiment of the present invention;
FIG. 2 is a diagram illustrating an internal structure of a prediction unit according to a preferred embodiment of the present invention;
FIG. 3 is a schematic block diagram of the first prediction module 31 according to the preferred embodiment of the present invention;
FIG. 4 is a schematic block diagram of the second prediction module 32 according to the preferred embodiment of the present invention;
FIG. 5 is a schematic block diagram of the third prediction module 32 according to the preferred embodiment of the present invention.
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.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described below with reference to the drawings and the specific examples, but the invention is not limited thereto.
Based on the above problems in the prior art, a meteorological data-based regional power grid load prediction management system with accurate prediction and convenient calculation is provided, which is suitable for a regional power grid, the regional power grid includes a plurality of power transmission and transformation devices 1 and a power grid line equipped with the plurality of power transmission and transformation devices 1, and a system structure diagram of the system structure is shown in fig. 1, wherein:
the regional power grid load prediction management system comprises:
the microclimate monitoring points 2 are respectively arranged on the power transmission and transformation equipment 1 and are used for monitoring line meteorological information I1 on a power grid line;
the data storage unit 4 is respectively connected with each microclimate monitoring point 2, is connected with an external power grid provider server 5, and is used for acquiring and storing power grid information of a regional power grid from the power grid provider server 5, acquiring corresponding equipment information from each power transmission and transformation equipment 1, and acquiring and storing detected line meteorological information I1 from each microclimate monitoring point 2, wherein the power grid information comprises the equipment information of each power transmission and transformation equipment 1;
the prediction unit 3 is connected with the data storage unit 4, and hot circuit models I2 for all the power transmission and transformation equipment 1 are preset in the prediction unit 3 and are used for respectively processing according to the line meteorological information I1 and the power grid information to obtain load prediction information of each power transmission and transformation equipment 1;
the load prediction information includes:
the first load prediction information I3 of the power transmission and transformation equipment 1 is obtained by processing according to the real-time line meteorological information I1;
the second load prediction information I10 of the power transmission and transformation equipment 1 is obtained by processing first historical meteorological information I7 with a preset first time span, which is included in the power grid information; and
processing the obtained third load prediction information I15 of the power transmission and transformation equipment 1 according to second historical meteorological information I11 with a preset second time span, wherein the second historical meteorological information is included in the power grid information;
the first time span is less than the second time span;
and the display unit 6 is connected with the prediction unit 3 and used for displaying the load prediction information.
Among a plurality of factors influencing the load running state and the load carrying capacity of the power transmission and transformation equipment, the influence of meteorological factors is the most obvious, so that when the load prediction is carried out by researching and developing a hot circuit model I2 and an algorithm, the real-time online information of the meteorological factors is considered, and the prediction result is more accurate.
Conventionally, the load of the power grid is directly predicted through a single model under the common condition of prediction of the load of the power grid, and as a load prediction means known to those skilled in the art, a hot circuit model I2 is usually adopted to predict the load of power wires in a power grid.
Specifically, in the preferred embodiment of the present invention, the thermal circuit model I2 created by the prediction unit 3 is not only the thermal circuit model I2 of the power cable of the network in the power transmission and transformation equipment 1, but also includes a plurality of thermal circuit models I2 of the power transmission and transformation equipment 1, such as the input transformer, the output transformer, and the power rectifier of the power transmission and transformation equipment 1.
Specifically, in a preferred embodiment of the present invention, the first time span is three days before the current time, and the second time span is one month or one year before the current time.
In summary, in the technical scheme of the invention, a regional power grid load prediction management system based on meteorological data is provided, the management system integrates the meteorological data and solves the problems of small data amount and inaccurate incomplete prediction result in the prior art through mathematical analysis schemes such as a hot-circuit model I2 and a fuzzy algorithm, and a high-precision and high-stability prediction effect is realized; in actual production and life, social resources are greatly saved, and resources are improved; the utilization rate really achieves the effects of environmental protection and energy conservation, thereby providing a perfect solution in realizing the load prediction with high precision.
In the preferred embodiment of the present invention, the line weather information I1 includes: sunshine duration information on a power grid line; and/or sunshine intensity information on the power grid line; and/or wind speed information on the grid line; and/or ambient temperature information on the grid line; and/or ambient humidity information on the grid lines.
In a preferred embodiment of the present invention, a schematic block diagram of the first prediction module 31 is shown in fig. 3. The prediction unit comprises a first prediction module 31, and the first prediction module 31 is used for obtaining first load prediction information I3 according to the line meteorological information I1 and the hot circuit model I2;
the first load prediction information I3 is real-time load prediction information of the electric transmission and transformation equipment, and the first load prediction information I3 includes a first safe operation time threshold and a first safe operation current threshold of the electric transmission and transformation equipment.
Specifically, in the above preferred embodiment of the present invention, as shown in fig. 2, the prediction unit 3 includes a first prediction module 31, a second prediction module 32 and a third prediction module 33.
Specifically, in the above preferred embodiment of the present invention, the first load prediction information I3 is real-time prediction information.
Specifically, in the above preferred embodiment of the present invention, the first safe operating current threshold is a maximum overload multiple allowed by the electric transmission and transformation equipment within a specified time (usually 30 minutes); the first safe operating time threshold is the maximum allowable operating time of the power transmission and transformation equipment at a specified overload factor (typically 1.5 or 1.3).
Specifically, in the above preferred embodiment of the present invention, the first load prediction is the current load prediction strategy: a certain number of microclimate monitoring points 2 are installed in a regional power grid, real-time meteorological information (such as sunlight, wind speed, ambient temperature and humidity) is collected, a hot-circuit model I2 of the power transmission and transformation equipment 1 is established by fusing the meteorological information, and the real-time dynamic first safety time limit and second safety current limit are provided through analysis and calculation.
Specifically, in the above preferred embodiment, the workflow of the first load prediction is as follows: in the pre-established hot-circuit model I2, since a model interface allowing meteorological factors to be considered is opened in the process of establishing the hot-circuit model I2, real-time load prediction can be obtained on the basis of the model by combining with the line meteorological information I1.
In the preferred embodiment of the present invention, the prediction unit comprises a second prediction module 32, the second prediction module 32 is configured to obtain second load prediction information I10 according to the line weather information I1, the first historical weather information I7 and the first future weather information I4 having a corresponding time span with respect to the first time span, and the first future weather information I4 is included in the grid information;
the second load prediction information I10 is the load prediction information of the electric transmission and transformation equipment in the same time span as the first future weather information I4, and the second load prediction information I10 includes a second safe operation time threshold and a second safe operation current threshold of the electric transmission and transformation equipment.
In a preferred embodiment of the present invention, the second prediction module 32 comprises:
the first hot circuit analysis component 321 is configured to process the line weather information I1, the first future weather information I4 and the hot circuit model I2 to obtain a corresponding first hot circuit calculation model I5;
the second hot circuit analysis component 322 is used for processing the line meteorological information I1, the first historical meteorological information I7 and the hot circuit model I2 to obtain a corresponding second hot circuit calculation model I6;
the first comparing component 323 is respectively connected to the first hot circuit analyzing component 321 and the second hot circuit analyzing component 322, and is configured to compare the first hot circuit calculation model I5 with the second hot circuit calculation model I6 to obtain a first comparison result I8;
the second comparing unit 324 compares the first comparison result I8 with a first historical operating data I9, which has a first time span and is associated with the power transmission and transformation equipment, included in the grid information to obtain a second comparison result, and obtains second load prediction information I10 according to the second comparison result.
Specifically, in the above preferred embodiment of the present invention, the second load prediction information is load prediction information of three days (including the current day) in the future.
Specifically, in the above preferred embodiment of the present invention, the second safe operation current threshold is a maximum overload multiple allowed by the electric transmission and transformation equipment within a specified time (usually 30 minutes); the second safe operating time threshold is the maximum allowable operating time of the power transmission and transformation equipment at a specified overload factor (typically 1.5 or 1.3).
Specifically, in the above preferred embodiment, the first future weather information I4 includes predicted weather information (maximum value of the highest temperature, minimum or average wind speed, sunshine intensity in sunny weather) for the three days in the future, and the first historical weather information I7 includes weather information for the last three days, and the first historical weather data includes a contemporaneous load change tendency, a load peak (maximum value).
Specifically, as shown in fig. 4, which is a schematic block diagram of the second prediction module 32, in the preferred embodiment of the invention, the second load prediction is a load prediction strategy for three days in the future: referring to the current weather information (line weather information I1) collected by the microclimate station and the future three-day weather forecast (first future weather information I4) provided by the electric power weather information system, the following first historical operating data I9 are compared: the contemporaneous load change trend of the first three days, the self-collected meteorological information at the moment of the load peak value (maximum value) and the forecast information (first future meteorological information I4) of the next three days (maximum value of the highest temperature, minimum wind speed or average wind speed, sunshine intensity in sunny weather) are provided with a real-time and dynamic second safe time limit and a second safe current limit of the next three days through a thermal circuit analysis model and a calculation and analysis method of the power transmission and transformation equipment 1.
In a preferred embodiment of the present invention, as shown in fig. 5, a schematic block diagram of a third prediction module 33 is shown, in fig. 5, the prediction unit includes a third prediction module 33, the third prediction module 33 is used for obtaining third load prediction information I15 according to the analysis of the second historical weather information I11;
the third load prediction information I15 is load prediction information of the electric transmission and transformation equipment in a time period corresponding to the second time span, and the third load prediction information I15 includes a third safe operation time threshold value and a third safe operation current threshold value of the electric transmission and transformation equipment.
In a preferred embodiment of the invention, the third prediction module 33 comprises:
a first prediction unit 331 for predicting, from the second historical weather information I11, second future weather information I13 having a time span corresponding to the second time span;
the second prediction component 332 is used for predicting future operation information I14 which has a corresponding time span with the second time span and is related to the power transmission and transformation equipment according to second historical operation information I12 which has the second time span and is related to the power transmission and transformation equipment and is included in the power grid information;
and the third prediction unit 333 is respectively connected with the first prediction unit 331 and the second prediction unit 332, and is used for analyzing and obtaining third load prediction information I15 by adopting a fuzzy theory algorithm according to the second future meteorological information I13 and the future operation information I14.
The so-called fuzzy algorithm is: and processing data and constructing a fuzzy mathematical model through the analysis of the real objects. The data elements are flexibly collected into a fuzzy set by using a membership relationship, a membership function is determined, fuzzy statistics is carried out according to experience and a human psychological process, the fuzzy statistics is usually carried out through psychological measurement, and the self-ambiguity of things is researched. Due to the instability and randomness of the meteorological system, the prediction information obtained through the fuzzy algorithm is more reliable.
Specifically, in the above preferred embodiment, the third safe operation current threshold is a maximum overload multiple allowed by the electric transmission and transformation equipment within a specified time (usually 30 minutes); the third safe operating time threshold is the maximum allowable operating time of the power transmission and transformation equipment at a specified overload factor (typically 1.5 or 1.3).
Specifically, in the above preferred embodiment, the historical weather information (the second historical weather information I11) and the historical operating data (the second historical operating information I12) are acquired from the power grid dispatching center database, similar days are selected according to a fuzzy theory algorithm, fuzzy matching is performed, and the next month (including the next week) load prediction (the third load prediction information I15) is corrected and adjusted to give a relatively accurate prediction result.
Specifically, in the above preferred embodiment, after the historical weather information (the second historical weather information I1) and the historical operating data (the second historical operating information I12) are obtained from the grid center database and are subjected to fuzzy processing, the second future weather information I13 and the future operating information I14 are obtained through prediction, the most matched characteristic day is searched in the grid center database, an accurate load prediction result is obtained, and the third load prediction information I15 is output.
Specifically, in the above preferred embodiment of the present invention, the second historical meteorological information I11 includes a monthly average air temperature, a monthly maximum air temperature and a monthly minimum air temperature, environmental parameters at the time of monthly maximum load (a monthly maximum value of the maximum temperature, a minimum wind speed or an average wind speed, a sunshine intensity in sunny weather); the second historical operation information I12 includes the monthly average load and the monthly maximum load of the power transmission and transformation equipment 1.
The historical information acquisition period is as follows: four months before the same year, this month and the next month in the last year, and four months before the same year.
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.
Claims (7)
1. A regional power grid load prediction management system based on meteorological data is suitable for a regional power grid, wherein the regional power grid comprises a plurality of power transmission and transformation equipment and a power grid line provided with the power transmission and transformation equipment; the method is characterized in that:
the regional power grid load prediction management system comprises:
the microclimate monitoring points are respectively configured on the power transmission and transformation equipment and used for monitoring line meteorological information on the power grid line;
the data storage unit is respectively connected with each microclimate monitoring point, is connected with an external power grid provider server, and is used for acquiring and storing power grid information of the regional power grid from the power grid provider server, acquiring corresponding equipment information from each power transmission and transformation equipment respectively, and acquiring and storing the detected line meteorological information from each microclimate monitoring point respectively, wherein the power grid information comprises the equipment information of each power transmission and transformation equipment;
the prediction unit is connected with the data storage unit, is preset with a hot circuit model aiming at all the power transmission and transformation equipment and is used for respectively processing according to the line meteorological information and the power grid information to obtain load prediction information of each power transmission and transformation equipment;
the thermal circuit model established by the prediction unit comprises the thermal circuit model of a power cable of a wire mesh in the power transmission and transformation equipment, and also comprises a transformer at the input end of the power transmission and transformation equipment, a transformer at the output end of the power transmission and transformation equipment and the thermal circuit model of a rectifier;
the regional power grid load prediction management system performs mathematical analysis through the hot circuit model and a fuzzy algorithm, wherein the fuzzy algorithm is used for processing data and constructing a fuzzy mathematical model through analysis of a real object;
the load prediction information includes:
processing first load prediction information of the power transmission and transformation equipment according to the real-time line meteorological information;
processing second load prediction information of the power transmission and transformation equipment according to first historical meteorological information with a preset first time span, wherein the first historical meteorological information is included in the power grid information; and
processing third load prediction information of the power transmission and transformation equipment according to second historical meteorological information with a preset second time span, wherein the second historical meteorological information is included in the power grid information;
the first time span is less than the second time span;
and the display unit is connected with the prediction unit and used for displaying the load prediction information.
2. The regional power grid load forecasting management system of claim 1, wherein the line weather information includes:
sunshine duration information on the power grid line; and/or
Sunshine intensity information on the power grid line; and/or
Wind speed information on the grid line; and/or
Ambient temperature information on the grid line; and/or
And environmental humidity information on the power grid line.
3. The regional power grid load prediction management system according to claim 1, wherein the prediction unit comprises a first prediction module, and the first prediction module is configured to obtain the first load prediction information according to the line meteorological information and the hot-circuit model analysis;
the first load prediction information is real-time load prediction information of the power transmission and transformation equipment, and the first load prediction information comprises a first safe operation time threshold and a first safe operation current threshold of the power transmission and transformation equipment.
4. The regional power grid load prediction management system of claim 1, wherein the prediction unit comprises a second prediction module therein, the second prediction module being configured to analyze the second load prediction information according to the line weather information, the first historical weather information, and first future weather information having a time span corresponding to the first time span, the first future weather information being included in the power grid information;
the second load forecast information is the load forecast information of the electric transmission and transformation equipment in a time period same as the time span of the first future meteorological information, and the second load forecast information includes a second safe operation time threshold and a second safe operation current threshold of the electric transmission and transformation equipment.
5. The regional power grid load prediction management system of claim 4, wherein the second prediction module comprises:
the first hot circuit analysis component is used for processing according to the line meteorological information, the first future meteorological information and the hot circuit model to obtain a corresponding first hot circuit calculation model;
the second hot circuit analysis component is used for processing according to the line meteorological information, the first historical meteorological information and the hot circuit model to obtain a corresponding second hot circuit calculation model;
the first comparison component is respectively connected with the first thermal circuit analysis component and the second thermal circuit analysis component and is used for comparing the first thermal circuit calculation model with the second thermal circuit calculation model to obtain a first comparison result;
and the second comparison component is used for comparing the first comparison result with first historical operation data which is included in the power grid information, has the first time span and is related to the power transmission and transformation equipment to obtain a second comparison result, and obtaining second load prediction information according to the second comparison result.
6. The regional power grid load prediction management system according to claim 1, wherein the prediction unit comprises a third prediction module, and the third prediction module is configured to analyze the third load prediction information according to the second historical meteorological information to obtain the third load prediction information;
the third load prediction information is the load prediction information of the electric transmission and transformation equipment in a time period corresponding to the second time span, and the third load prediction information includes a third safe operation time threshold and a third safe operation current threshold of the electric transmission and transformation equipment.
7. The regional power grid load prediction management system of claim 6, wherein the third prediction module comprises:
a first prediction component for predicting second future weather information having a corresponding time span with the second time span according to the second historical weather information;
the second prediction component is used for predicting future operation information which has a corresponding time span with the second time span and is related to the power transmission and transformation equipment according to second historical operation information which is contained in the power grid information and has the second time span and is related to the power transmission and transformation equipment;
and the third prediction component is respectively connected with the first prediction component and the second prediction component and is used for analyzing and obtaining the third load prediction information by adopting a fuzzy theory algorithm according to the second future meteorological information and the future operation information.
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