CN116760016A - Self-adaptive power scheduling decision method and device, electronic equipment and storage medium - Google Patents

Self-adaptive power scheduling decision method and device, electronic equipment and storage medium Download PDF

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Publication number
CN116760016A
CN116760016A CN202310631156.9A CN202310631156A CN116760016A CN 116760016 A CN116760016 A CN 116760016A CN 202310631156 A CN202310631156 A CN 202310631156A CN 116760016 A CN116760016 A CN 116760016A
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decision
power
dispatching
document
information
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CN116760016B (en
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梁寿愚
何宇斌
李映辰
张坤
吴小刚
李文朝
胡荣
周华锋
江伟
顾慧杰
符秋稼
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China Southern Power Grid Co Ltd
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China Southern Power Grid Co Ltd
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    • H—ELECTRICITY
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    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • G—PHYSICS
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • 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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • 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
    • H02J3/381—Dispersed generators
    • 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
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract

The application belongs to the technical field of power grid dispatching, and relates to a self-adaptive power dispatching decision method, a device, electronic equipment and a storage medium, wherein the self-adaptive power dispatching decision method comprises the following steps: acquiring decision task information and power grid information, wherein the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid; performing power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking a distribution result of the power distribution as a power dispatching solving result; and converting the power dispatching solving result into a document, and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing a suggestion for dispatching the electric energy of each distributed power grid for dispatching personnel. The method aims at solving the technical problem that the power scheduling scheme is not optimized enough because the influence of the distributed power grid on the power distribution is difficult to comprehensively consider in the process of manual decision.

Description

Self-adaptive power scheduling decision method and device, electronic equipment and storage medium
Technical Field
The application belongs to the technical field of power grid dispatching, and relates to a self-adaptive power dispatching decision method, a device, electronic equipment and a storage medium.
Background
The power dispatching is an effective management means for ensuring safe and stable operation of the power grid, external reliable power supply and orderly execution of various power production works. The specific work content of the power dispatching is to comprehensively consider the development condition of each production work according to the data information fed back by various information acquisition devices and the actual operation parameters of the power grid, such as voltage, power, frequency, load and the like, and judge the safe and economic operation state of the power grid, so that a scheme of the power dispatching is provided. With the continuous development of the power industry, the continuous innovation of the electrical technology and the continuous access of distributed energy sources to a power grid are realized, the power grid scale becomes increasingly huge, the distributed energy sources can be produced on site, and under the condition of supplying power according to the requirements of users, the electric energy from large-scale power supply can be not received, and when power scheduling is performed, the influence of the distributed energy sources on the power distribution is difficult to comprehensively consider by manual decision, so that the scheme of the power scheduling is not optimized enough, and the power resources are difficult to fully utilize.
It should be noted that the foregoing is only for aiding in understanding the technical problem solved by the present application, and is not an admission that the foregoing is prior art.
Disclosure of Invention
The application mainly aims to provide a self-adaptive power dispatching decision-making method, a device, electronic equipment and a storage medium, and aims to solve the technical problem that a power dispatching scheme is not optimized enough because the influence of a distributed power grid on power distribution is difficult to comprehensively consider during manual decision-making.
In order to achieve the above object, the present application provides an adaptive power scheduling decision method, which is applied to a power scheduling decision system, and the adaptive power scheduling decision method includes:
acquiring decision task information and power grid information, wherein the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid;
performing power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking a distribution result of the power distribution as a power dispatching solving result;
and converting the power dispatching solving result into a document, and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing a suggestion for dispatching the electric energy of each distributed power grid for dispatching personnel.
In order to achieve the above object, the present application provides an adaptive power scheduling decision device, which is applied to a power scheduling decision system, and the adaptive power scheduling decision device includes:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring decision task information and power grid information, the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid;
the scheduling result determining module is used for carrying out power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking the distribution result of the power distribution as a power scheduling solving result;
the document conversion module is used for converting the document of the power dispatching solving result and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing advice for dispatching personnel to dispatch the electric energy of each distributed power grid.
The application also provides an electronic device comprising: the system comprises a memory, a processor and a program of the adaptive power scheduling decision method stored in the memory and capable of running on the processor, wherein the program of the adaptive power scheduling decision method can realize the steps of the adaptive power scheduling decision method when being executed by the processor.
The present application also provides a storage medium, on which a program for implementing the adaptive power scheduling decision method is stored, which when executed by a processor implements the steps of the adaptive power scheduling decision method as described above.
The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of an adaptive power scheduling decision method as described above.
The application provides a self-adaptive power scheduling decision method, a device, electronic equipment and a storage medium, which are applied to a power scheduling decision system, wherein the self-adaptive power scheduling decision method comprises the following steps: acquiring decision task information and power grid information, wherein the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid; performing power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking a distribution result of the power distribution as a power dispatching solving result; and converting the power dispatching solving result into a document, and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing a suggestion for dispatching the electric energy of each distributed power grid for dispatching personnel.
According to the application, the power distribution is carried out on the total power grid and at least one distributed power grid based on decision task information, so that a power dispatching solving result can be obtained, the power optimal configuration of power between the total power grid and the distributed power grid is realized, further, after the power dispatching solving result is converted, a power dispatching decision document is output, so that a dispatcher can distribute power to the distributed power grid and the total power grid according to the power dispatching decision document, and the decision of power dispatching is not required to be carried out manually, thereby improving the efficiency of power dispatching decision.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a flowchart of a first embodiment of an adaptive power scheduling decision method according to the present application;
FIG. 2 is a flowchart of a second embodiment of the adaptive power scheduling decision method of the present application;
FIG. 3 is a flowchart illustrating a third embodiment of the adaptive power scheduling decision method according to the present application;
FIG. 4 is a schematic diagram of an adaptive power scheduling decision apparatus according to an embodiment of the present application;
fig. 5 is a schematic diagram of a device structure of a hardware operating environment related to an adaptive power scheduling decision method in an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
In order to make the above objects, features and advantages of the present application more comprehensible, the following description of the embodiments accompanied with the accompanying drawings will be given in detail. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Referring to fig. 1, an embodiment of the present application provides an adaptive power scheduling decision method, applied to a power scheduling decision system, in a first embodiment of the adaptive power scheduling decision method of the present application, the adaptive power scheduling decision method includes:
Step S10, decision task information and power grid information are obtained, wherein the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid;
in this embodiment, it should be noted that, in the application of the present application to the power grid dispatching field, the decision task information may be determined by a user based on an actual situation, the decision task information may include a decision target and a decision limitation, and may further include a document format and calling tool information, where the decision target is characterized by a target of a power dispatching decision desired by the user, the decision target may be represented by a natural language, and may also be represented by a numerical value, the decision limitation may be a distributed power peak of at least one distributed power grid and a total power grid power peak of the total power grid, and may also be a power distribution cost generated when power distribution is performed, the decision limitation may be set by a dispatcher according to an actual situation, the decision limitation may also be represented by a natural language, and may also be represented by a numerical value, the document format may be characterized by a document format of the power dispatching decision document, the document format may be a text format, an image format, and a calling tool information may be characterized by a tool called by a user, and the intention calling tool is used to instruct the calling tool to call the decision when generating the power dispatching decision document, and the calling tool may be preset power dispatching document, and may be a power dispatching system, a power dispatching interface and/or a power dispatching interface. The decision task information may include a decision target and a decision limit, the decision task information may also include a decision target, a decision limit, and a document format, the decision task information may also include a decision target, a decision limit, and a calling tool information, and the decision task information may also include a decision target, a decision limit, a document format, and a calling tool information. When the file format and/or the calling tool information are not included in the decision task information, the power dispatching decision system is not influenced to generate a power dispatching decision file, and the power dispatching decision system can automatically call a tool and can also determine the file format according to a power dispatching solving result.
In addition, it should be further noted that the grid information is characterized by a total grid and a distributed grid, the grid information includes a total grid and a distributed grid, the total grid is characterized by the grid state of the total grid, the distributed grid is characterized by the grid state of the distributed grid, the total grid is a grid for overall distribution of each distributed grid, and the distributed grid can be a household power station or an enterprise, a wind power station or a solar power station, and the like.
The step of obtaining decision task information comprises the following steps:
step S11, determining the decision requirement of the user in a preset requirement instruction template in response to the decision requirement input instruction of the user, and generating the decision task information, wherein the preset requirement instruction template is used for standardizing the input of the user.
In this embodiment, it should be noted that, the decision requirement input instruction is configured to instruct a user to input a decision requirement in the preset requirement instruction template, where the decision requirement may be a decision target, a decision limitation, a document format and/or calling tool information, and the preset requirement instruction template is configured to normalize input of the user so as to ensure that the power scheduling decision system can identify decision data input by the user, thereby determining decision task information, where when the user inputs the decision data in the preset requirement instruction template, the user may not input the document format and/or calling tool information, and when the document format and/or calling tool information is input, a personalized power scheduling decision document may be set for the user.
As an example, step S11 includes: and responding to a decision requirement input instruction of the user, determining the decision requirement of the user in a preset requirement instruction template, and generating the decision task information, wherein the preset requirement instruction template is used for standardizing the input of the user so as to ensure that the power dispatching decision system can identify the decision requirement input by the user.
According to the embodiment of the application, the preset demand instruction template is set to indicate a user to input a decision demand in the preset demand instruction template, so that the decision demand can be ensured to be recognized by the power dispatching decision system, the power dispatching decision document generated by the power dispatching decision system can be ensured to fit the user demand, the document format and the calling tool information can be input, the personalized setting of the power dispatching decision document is realized, further, the document format can be an image format, a text format and an image-text format, the diversified display of the power dispatching decision document is realized, the visualization degree of the power dispatching decision document can be improved through the image-text format display of the power dispatching decision document, and the power dispatching decision document generated by the power dispatching decision system is convenient for a dispatcher to understand.
Step S20, carrying out power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking a distribution result of the power distribution as a power dispatching solving result;
in this embodiment, it should be noted that, the total power grid includes total power grid power, the distributed power grid includes distributed power, the decision target may be that the total voltage fluctuation of the total power grid and each distributed power grid is small, or may be that the total voltage fluctuation of the total power grid is within a preset total voltage fluctuation range, and the distributed voltage of the distributed power grid is within a preset distributed voltage fluctuation range, where the preset total voltage fluctuation range and the preset distributed voltage fluctuation range may be determined according to actual situations, the distribution result includes distributed power of at least one distributed power grid, and a power distribution cost for distributing the total power grid power to at least one distributed power grid, where the distributed power is the power of the distributed power grid, and the total power grid power is the power of the total power grid.
The step of distributing the power to the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking the distribution result of the power distribution as the power dispatching solving result comprises the following steps:
Step S21, inputting the power grid information, the decision target and the decision limit into the power dispatching decision model;
step S22, the power scheduling decision model distributes the total power grid power of the total power grid to at least one distributed power grid according to the decision target, to obtain at least one distribution result, where the distribution result includes the distributed power of at least one distributed power grid, and the power distribution cost of distributing the total power grid power to at least one distributed power grid;
and step S23, taking the distribution result of the power distribution cost meeting the decision limit as the power dispatching solving result.
In this embodiment, it should be noted that the initial model of the power scheduling decision model may be a neural network model, where the power scheduling decision model is used to process the power grid information to obtain a solution result of power scheduling. The step of training the power scheduling decision model comprises: determining a scheduling model to be trained, acquiring a historical scheduling dataset, wherein the historical scheduling dataset comprises power grid information features, decision information features and scheduling solving labels, inputting the power grid information features into the scheduling model to be trained, generating a power scheduling solving result, calculating a loss value between the power scheduling solving result and the scheduling solving labels, obtaining the power scheduling decision model if the loss value is converged, and inputting new power grid information features into the scheduling model to be trained for training if the loss value is not converged. The power grid information features comprise a total power grid feature and a distributed power grid feature, the total shop king feature comprises a total power grid power feature, and the distributed power grid information feature comprises a power transmission and distribution cost feature from the total power grid to each distributed power grid and a distributed power feature of each distributed power grid.
In addition, it should be noted that the power distribution cost is the sum of power transmission and distribution costs of the total power grid power distribution to each distributed power grid, the power transmission and distribution costs are the sum of prices of access systems, networking, power transmission and sales services provided by power grid operators, and the power transmission and distribution costs are preset, that is, the power transmission and distribution costs are power transmission and distribution costs. The decision limit may be that the power distribution cost is within a preset power distribution cost, the preset power distribution cost may be set according to actual situations of a total power grid and each distributed power grid, and the power dispatching solution result is an instruction result obtained after the power dispatching model processes the power grid information.
As an example, steps S21 to S23 include: inputting the power grid information, the decision target and the decision limit into the power dispatching decision model; the power scheduling decision model distributes the total power grid power of the total power grid to at least one distributed power grid according to the decision target to obtain at least one distribution result, wherein the distribution result comprises the distributed power of the at least one distributed power grid and the power distribution cost when the total power grid power is distributed to the at least one distributed power grid; and taking the distribution result of the power distribution cost meeting the decision limit as the power dispatching solving result. For example, when the decision target is that the voltage fluctuation of the total power grid and each distributed power grid is small, the decision limit is that the fluctuation range is a preset value a, and the power distribution cost range is a preset range b, then the power scheduling decision model generates a power scheduling solving result based on the power grid information, the decision limit and the decision target, so that the voltage fluctuation range of the total power grid and the distributed power grid can be maintained within the preset value a, the power distribution cost is maintained within the preset range b, and when the distributed power has a surplus, the total power grid can not transmit power to the distributed power grid with less power, the power resource can be fully utilized, and the power scheduling scheme displayed in the power scheduling decision document is an optimal scheme.
According to the embodiment of the application, the decision targets and the decision limits in the power grid information and the decision task information are input into the power scheduling decision model, and the power scheduling solving result is output, so that the distribution of power between the total power grid and each distributed power grid is realized, the optimal configuration of the power can be realized, and the power distribution efficiency is improved.
And step S30, carrying out document conversion on the power dispatching solving result, and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing advice for dispatching the electric energy of each distributed power grid for dispatching personnel.
In the embodiment of the application, the display form of the power dispatching solving result is an instruction, and the visualized power dispatching decision document is obtained by processing the power dispatching solving result. The power dispatching decision document is used for providing advice for dispatching personnel to dispatch the electric energy of each distributed power grid, and the dispatching personnel can be the staff of the power grid.
As an example, steps S10 to S30 include: acquiring decision task information and power grid information, inputting the power grid information and the decision targets and the decision limits in the decision task information into the power scheduling decision model, and outputting to obtain a power scheduling solving result, wherein the power scheduling decision model distributes power between the total power grid power and at least one distributed power according to the decision targets and the decision limits to obtain the power scheduling solving result; and converting the file of the power dispatching solving result, and outputting a power dispatching decision file to provide a recommendation for dispatching the electric energy of each distributed power grid for dispatching personnel. According to the application, decision task information and power grid information are input into the preset power dispatching model, the preset power dispatching model processes the power grid information based on the decision task information, so that a power dispatching solving result can be obtained, power optimal configuration of power between the total power grid and the distributed power grid is realized, further, after the power dispatching solving result is converted, a power dispatching decision document is output, so that a dispatcher can distribute power to the distributed power grid and the total power grid according to the power dispatching decision document, and a power dispatching decision is not required to be manually carried out, thereby improving the efficiency of power dispatching decision.
The power scheduling decision system may be considered as a power decision calling model, the power decision calling model may be trained by an Auto GPT model (pre-training language model), and the training step of the power decision calling model includes: acquiring a power dispatching data set, preset power common sense information and a call model to be trained; training the calling model to be trained based on preset power common sense information to obtain a primary calling model; and training the initial call model based on the power dispatching data set to obtain a power decision call model, and taking the power decision call model as the power dispatching decision system.
In this embodiment, it should be noted that, the power scheduling data set characterizes the training sample of the to-be-trained call model, and the power scheduling data set includes a generating process for generating the power scheduling decision document, where the generating process includes a call process of a preset power scheduling model and a processing process of power grid information. The preset power common sense information is common sense in the power grid power professional field, the call model to be trained is an Auto GPT model, a large amount of preset power common sense information is input into the call model to be trained for training, and the power decision call model is prevented from making a reverse power common sense conclusion as far as possible. The initial call model is a model which has learned the preset power common sense information.
In addition, it should be further noted that, the power dispatching decision system may be a power decision calling model, the power decision calling model may be trained by an Auto GPT model, or may be an Auto GPT model, when the Auto GPT model is applied to the power grid dispatching field, instruction tuning may be performed based on a power dispatching data set, that is, natural language may be input to the power decision calling model, a dialogue may be performed with the power decision calling model, a user may input decision task information in a dialogue form based on a preset demand instruction template, so that a user may input decision task information conveniently, thereby reducing a professional requirement on a power grid dispatcher, after the power decision calling model is obtained, the decision task information and the power grid information are input to the power decision calling model, a power dispatching decision document may be output, a generating process of the power dispatching decision document may be used as a training sample, the power dispatching decision calling model may also be optimized, the dispatching personnel may adjust the generating process of the power dispatching decision document, and the adjusted generating process may be used as a preset calling model, and the power dispatching document may be set as a power dispatching interface, where the power dispatching document may be adjusted as a power dispatching model, and the power dispatching interface may be generated as a power dispatching model, and the interface may be adjusted.
According to the embodiment of the application, the Auto GPT model is adopted as the call model to be trained, the call model to be trained is trained according to the preset power common sense information and the power scheduling data set to obtain the power decision call model, so that the power decision call model can receive natural language input by a scheduler, the threshold for carrying out power scheduling decision is reduced, the primary call model is trained according to the electric quantity scheduling data set to obtain the power decision call model, the power decision call model can automatically call tools according to decision task information to generate power scheduling decision documents, the intelligence of determining the power scheduling decision documents is improved, and the efficiency of generating the power scheduling decision documents is further improved.
Example two
Further, referring to fig. 2, in another embodiment of the present application, the same or similar contents as those of the above embodiment may be referred to the above description, and will not be repeated. On the basis, before the step of calling a preset power scheduling model to process the power grid information based on the decision task information to obtain a power scheduling solving result, the self-adaptive power scheduling decision method comprises the following steps:
Step B10, judging whether the decision task information lacks decision necessary information, wherein the decision necessary information at least comprises one of a decision target displayed in a numerical value type and a decision limit displayed in the numerical value type;
in this embodiment, it should be noted that the decision-making necessary information is characterized as necessary information for generating the power dispatching decision document, and the decision-making necessary information is a decision target displayed in a numerical type and a decision limit displayed in a numerical type. When the decision target and the decision limit are expressed in natural language, the description of the decision target and the decision limit is not accurate enough.
Wherein, step B10 further comprises:
step B11, identifying a target display type of the decision target and a limit display type of the decision limit in the decision task information;
step B12, if the target display type of the decision target and the limit display type of the decision limit in the decision task information are both numerical types, determining that no necessary decision information is missing in the decision task information;
and step B13, if the target display type of the decision target in the decision task information is natural language and/or the limit display type of the decision limit is natural language, determining that the necessary decision information is absent in the decision task information.
In this embodiment, it should be noted that the target display type includes a natural language and a numerical value type, the constraint display type includes a natural language and a numerical value type, the target display type is used for describing a display type of the decision target, and the constraint display type is used for describing a display type of the decision constraint.
As an example, steps B11 to B13 include: identifying a target display type of the decision target and a limit display type of the decision limit in the decision task information; if the target display type of the decision target and the limit display type of the decision limit in the decision task information are both numerical types, determining that no necessary decision information is absent in the decision task information; if the target display type is natural language and the limit display type is natural language, determining that the necessary decision information is absent from the decision task information, if the target display type is natural language or the limit display type is natural language, determining that the necessary decision information is absent from the decision task information, if the target display type is natural language and the limit display type is natural language, and if the target display type is natural language or the limit display type is natural language.
According to the embodiment of the application, the target display type and the limiting display type of the decision target are identified, and the target display type and/or the limiting display type are/is natural language, so that the situation that the necessary decision information is absent in the decision task information is judged, and therefore, the situation that the power scheduling model is difficult to generate a power decision document due to the fact that the necessary decision information is absent, or the generated power decision document is inaccurate is avoided, the situation that the decision target and the limiting display type are not fit can be considered, and the situation that the generated power decision document is inaccurate is avoided.
Step B20, if the necessary decision information is absent, a preset search interface is called, and the necessary decision information is searched according to the preset search interface;
wherein, step B20 includes: step B21, if the missing necessary decision information is the decision target displayed in the numerical value type, calling the preset search interface, and searching the decision target displayed in the numerical value type according to the decision target displayed in natural language;
step B22, if the missing necessary decision information is the decision limit displayed in the numerical value type, calling the preset search interface, and searching the decision limit displayed in the numerical value type according to the decision limit displayed in the natural language;
Step B23, if the missing necessary decision information is the decision target displayed in the numerical value type and the decision limit displayed in the numerical value type, invoking the preset search interface, searching the decision target displayed in the numerical value type according to the decision target displayed in natural language, and searching the decision limit displayed in the numerical value type according to the decision limit displayed in the natural language.
In this embodiment, it should be noted that the target display type includes a natural language and a numerical value type, the constraint display type includes a natural language and a numerical value type, the target display type is used for describing a display type of the decision target, and the constraint display type is used for describing a display type of the decision constraint.
Step B30, if the necessary decision information is found based on the preset search interface, the necessary decision information is supplemented to the decision task information so as to update the decision task information;
and step B40, if the necessary decision information is not found through the preset search interface, generating a demand supplement instruction to prompt a user to supplement the decision task information, and updating the decision task information after the user supplements the decision task information.
In this embodiment, it should be noted that, the preset search interface is configured to invoke at least one search engine to search for necessary information of a decision, when a target display type of the decision target is a natural language, search, in the search engine, a numerical value of a decision target corresponding to the natural language of the decision target according to the natural language of the decision target, and when a constraint display type of the decision constraint is a natural language, search, in the search engine, a numerical value of a decision constraint corresponding to the natural language of the decision constraint according to the natural language of the decision constraint.
As an example, steps B10 to B40 include: judging whether the decision task information lacks necessary decision information;
if the necessary decision information is absent, a preset search interface is called, and the necessary decision information is searched according to the preset search interface; specifically, when the missing necessary decision information is the numerical value of a decision target, a preset search interface is called, and the numerical value of the decision target is searched according to the natural language of the decision target; if the numerical value of the decision target is not found through the preset search interface, generating a demand supplement instruction to prompt a user to supplement the numerical value of the decision target, and updating the decision task information after the user supplements the numerical value of the decision target; if the numerical value of the decision target is found through the preset search interface, supplementing the found numerical value of the decision target to the decision task information to obtain updated decision task information;
When the missing necessary decision information is the value of the decision limit, calling a preset search interface, and searching the value of the decision limit according to the natural language of the decision limit; if the numerical value of the decision limit is not found through the preset search interface, generating a demand supplement instruction to prompt a user to supplement the numerical value of the decision limit, and updating the decision task information after the user supplements the numerical value of the decision limit; if the numerical value of the decision limit is found through the preset search interface, supplementing the found numerical value of the decision limit to the decision task information to obtain updated decision task information;
when the missing necessary decision information is the numerical value of the decision limit and the numerical value of the decision target, a preset search interface is called, and the numerical value of the decision target is searched according to the natural language of the decision target and the numerical value of the decision limit is searched according to the natural language of the decision limit; if the numerical value of the decision limit and/or the numerical value of the decision target are not found through the preset search interface, generating a demand supplement instruction to prompt a user to supplement the numerical value of the decision limit and/or the numerical value of the decision target, and updating the decision task information after the user supplements the numerical value of the decision limit and/or the numerical value of the decision target.
According to the embodiment of the application, the missing necessary decision information is searched by calling the preset search interface, and the necessary decision task information is updated after the necessary decision information is searched, so that the power dispatching decision making efficiency can be improved, the optimal decision target value and/or decision limiting value can be searched by calling the preset search interface, the optimization degree of the power dispatching decision making document can be improved, and when the missing necessary decision information can not be searched by calling the preset search interface, a required supplementary instruction can be generated to prompt a user to carry out the necessary supplementary decision information, so that the integrity of the decision task information can be ensured, and the accuracy of the power dispatching decision making document can be improved.
Example III
Further, referring to fig. 3, in another embodiment of the present application, the same or similar contents as those of the above embodiment may be referred to the above description, and will not be repeated. On the basis, the step of converting the document of the power dispatching solving result and outputting the power dispatching decision document comprises the following steps:
step D10, if the decision task information comprises a document format, determining a document conversion type according to the document format;
Step D20, when the document conversion type is a text type, calling a preset text conversion model, converting the power dispatching solving result into a power dispatching text document, and taking the power dispatching text document as a power dispatching decision document;
step D30, when the document conversion type is an image type, calling a preset image conversion model, converting the power dispatching solving result into a power dispatching image document, and taking the power dispatching image document as a power dispatching decision document;
step D40, when the document conversion type is the picture and text type, calling a preset image conversion model and a preset text conversion model, converting the power dispatching solving result into a power dispatching picture and text document, and taking the power dispatching picture and text document as a power dispatching decision document;
and D50, if the decision task information does not comprise the document format, calling a preset image conversion model and/or a preset text conversion model to process the power dispatching solving result based on the power dispatching solving result to obtain a decision document displayed in an image and/or a text, and taking the decision document as a power dispatching decision document.
In this embodiment, it should be noted that the document format may be a text format, an image format, and a text format, and the text format, the image format, and the text format may be displayed in a word document or a ppt document, which is not limited herein. The power dispatching system comprises a preset text conversion model and a preset image conversion model, wherein the preset text conversion model is used for converting the power dispatching solving result into a power dispatching text document, and the preset image conversion model is used for converting the power dispatching solving result into a power dispatching image document.
As an example, step D10 to step D50 include: if the decision task information comprises a document format, determining a document conversion type according to the document format; when the document conversion type is a text type, calling a preset text conversion model, converting the power dispatching solving result into a power dispatching text document, and taking the power dispatching text document as a power dispatching decision document; when the document conversion type is an image type, calling a preset image conversion model, converting the power dispatching solving result into a power dispatching image document, and taking the power dispatching image document as a power dispatching decision document; when the document conversion type is the image-text type, calling a preset image conversion model and a preset text conversion model, converting the power dispatching solving result into a power dispatching image-text document, and taking the power dispatching image-text document as a power dispatching decision document; and if the decision task information does not comprise the document format, calling a preset image conversion model and/or a preset text conversion model to process the power dispatching solving result based on the power dispatching solving result to obtain a decision document displayed in an image and/or text, and taking the decision document as a power dispatching decision document.
When the file format is not included in the decision task information, the power decision calling model calls a preset image conversion model and/or a preset text conversion model based on a power dispatching solving result, and the preset image conversion model and/or the preset text conversion model processes the power dispatching result to obtain a decision file displayed in an image and/or text mode, and the decision file is used as a power dispatching decision file.
According to the embodiment of the application, the power dispatching solving result is processed through the preset image conversion model and/or the preset text conversion model, so that the power dispatching decision document displayed in the form of images and/or characters is obtained, the power dispatching decision document is displayed in a diversified mode, the power dispatching decision document is displayed in an image-text format, the visualization degree and the understandability of the power dispatching decision document can be improved, and therefore, a dispatcher can understand the power dispatching decision document generated by the power dispatching decision system conveniently.
Example IV
Referring to fig. 4, an embodiment of the present application further provides an adaptive power scheduling decision device, which is applied to an adaptive power scheduling system, where the adaptive power scheduling decision device includes:
The system comprises an acquisition module 10, a control module and a control module, wherein the acquisition module is used for acquiring decision task information and power grid information, the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid;
the scheduling result determining module 20 is configured to perform power distribution on the total power grid and at least one of the distributed power grids according to the decision target and the decision limit, and take a distribution result of the power distribution as a power scheduling solving result;
the document conversion module 30 is configured to perform document conversion on the power dispatching solution result, and output a power dispatching decision document, where the power dispatching decision document is used to provide a recommendation for a dispatcher to dispatch the electric energy of each distributed power grid.
Optionally, the scheduling result determining module 20 is further configured to:
judging whether the decision task information lacks decision necessary information, wherein the decision necessary information at least comprises one of a decision target displayed in a numerical type and a decision limit displayed in the numerical type;
if the necessary decision information is absent, a preset search interface is called, and the necessary decision information is searched according to the preset search interface;
If the necessary decision information is found based on the preset search interface, the necessary decision information is supplemented to the decision task information so as to update the decision task information;
if the necessary decision information is not found through the preset search interface, generating a demand supplement instruction to prompt a user to supplement the decision task information, and updating the decision task information after the user supplements the decision task information.
Optionally, the scheduling result determining module 20 is further configured to:
if the missing necessary decision information is the decision target displayed in the numerical value type, calling the preset search interface, and searching the decision target displayed in the numerical value type according to the decision target displayed in natural language;
if the missing necessary decision information is the decision limit displayed in the numerical value type, calling the preset search interface, and searching the decision limit displayed in the numerical value type according to the decision limit displayed in the natural language;
if the missing necessary decision information is the decision target displayed in the numerical value type and the decision limit displayed in the numerical value type, calling the preset search interface, searching the decision target displayed in the numerical value type according to the decision target displayed in natural language, and searching the decision limit displayed in the numerical value type according to the decision limit displayed in the natural language.
Optionally, the scheduling result determining module 20 is further configured to:
identifying a target display type of the decision target and a limit display type of the decision limit in the decision task information;
if the target display type of the decision target and the limit display type of the decision limit in the decision task information are both numerical types, determining that the necessary decision information is not lacking in the decision task information;
and if the target display type of the decision target in the decision task information is natural language and/or the limiting display type of the decision limiting is natural language, determining that the necessary decision information is absent in the decision task information.
Optionally, the scheduling result determining module 20 is further configured to:
inputting the power grid information, the decision target and the decision limit into a power dispatching decision model;
the power scheduling decision model distributes the total power grid power of the total power grid to at least one distributed power grid according to the decision target to obtain at least one distribution result, wherein the distribution result comprises the distributed power of the at least one distributed power grid and the power distribution cost for distributing the total power grid power to the at least one distributed power grid;
And taking the distribution result of the power distribution cost meeting the decision limit as the power dispatching solving result.
Optionally, the document conversion module 30 is further configured to:
if the decision task information comprises a document format, determining a document conversion type according to the document format;
when the document conversion type is a text type, calling a preset text conversion model, converting the power dispatching solving result into a power dispatching text document, and taking the power dispatching text document as a power dispatching decision document;
when the document conversion type is an image type, calling a preset image conversion model, converting the power dispatching solving result into a power dispatching image document, and taking the power dispatching image document as a power dispatching decision document;
when the document conversion type is the image-text type, calling a preset image conversion model and a preset text conversion model, converting the power dispatching solving result into a power dispatching image-text document, and taking the power dispatching image-text document as a power dispatching decision document;
and if the decision task information does not comprise the document format, calling a preset image conversion model and/or a preset text conversion model to process the power dispatching solving result based on the power dispatching solving result to obtain a decision document displayed in an image and/or text, and taking the decision document as a power dispatching decision document.
Optionally, the obtaining module 10 is further configured to:
and responding to a decision requirement input instruction of the user, determining the decision requirement of the user in a preset requirement instruction template, and generating the decision task information, wherein the preset requirement instruction template is used for standardizing the input of the user.
The self-adaptive power scheduling decision device provided by the application adopts the self-adaptive power scheduling decision method in the embodiment, and aims to solve the technical problem that the power scheduling scheme is not optimized enough because the influence of the distributed power grid on the power distribution is difficult to comprehensively consider during manual decision. Compared with the prior art, the adaptive power scheduling decision method provided by the embodiment of the application has the same beneficial effects as the adaptive power scheduling decision method provided by the embodiment, and other technical features in the adaptive power scheduling decision device are the same as the features disclosed by the embodiment method, and are not repeated herein.
Example five
The embodiment of the application provides an electronic device, which may be a playing device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the adaptive power scheduling decision method of the above embodiment.
Referring now to fig. 5, a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistant, personal digital assistants), PADs (portable Android device, tablet computers), PMPs (Portable Media Player, portable multimedia players), vehicle terminals (e.g., car navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 5 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 5, the electronic apparatus may include a processing device 1001 (e.g., a central processor, a graphics processor, or the like) that can perform various appropriate actions and processes according to a program stored in a ROM (Read-Only Memory) 1002 or a program loaded from a storage device 1003 into a RAM (Random Access Memory ) 1004. In the RAM1004, various programs and data required for the operation of the electronic device are also stored. The processing device 1001, the ROM1002, and the RAM1004 are connected to each other by a bus 1005. An input/output (I/O) interface 1006 is also connected to the bus.
In general, the following systems may be connected to the I/O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, tachometer, gyroscope, and the like; an output device 1008 including, for example, an LCD (Liquid Crystal Display ), a speaker, a vibrator, and the like; storage device 1003 including, for example, a magnetic tape, a hard disk, and the like; and communication means 1009. The communication means may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While electronic devices having various systems are shown in the figures, it should be understood that not all of the illustrated systems are required to be implemented or provided. More or fewer systems may alternatively be implemented or provided.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network through a communication system, or installed from a storage system, or installed from ROM. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by a processing system.
The electronic equipment provided by the application adopts the self-adaptive power scheduling decision method in the first embodiment to solve the technical problem that the power scheduling scheme is not optimized enough due to the fact that the influence of the distributed power grid on the power distribution is difficult to comprehensively consider in the manual decision. Compared with the prior art, the beneficial effects of the product flow data distribution provided by the embodiment of the application are the same as those of the self-adaptive power scheduling decision method provided by the embodiment, and other technical features in the self-adaptive power scheduling decision device are the same as those disclosed by the method of the embodiment, so that the description is omitted herein.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Example six
The present embodiment provides a storage medium having computer readable program instructions stored thereon for performing the adaptive power scheduling decision method of the first embodiment.
The storage medium provided by the embodiment of the application can be, for example, a usb disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor device, apparatus, or device, or a combination of any of the above. More specific examples of the storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable EPROM (Electrical Programmable Read Only Memory, read-only memory) or flash memory, an optical fiber, a portable compact disc CD-ROM (compact disc read-only memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this embodiment, the storage medium may be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution apparatus, device, or apparatus. Program code embodied on a storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The storage medium may be contained in an electronic device; or may exist alone without being assembled into an electronic device.
The storage medium carries one or more programs that, when executed by an electronic device, cause the electronic device to: acquiring decision task information and power grid information, wherein the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid; performing power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking a distribution result of the power distribution as a power dispatching solving result; and converting the power dispatching solving result into a document, and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing a suggestion for dispatching the electric energy of each distributed power grid for dispatching personnel.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a LAN (local area network ) or WAN (Wide Area Network, wide area network), or it may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of devices, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based devices which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented in software or hardware. Wherein the name of the module does not constitute a limitation of the unit itself in some cases.
The storage medium provided by the application stores computer readable program instructions for executing the self-adaptive power dispatching decision method, and aims to solve the technical problem that the power dispatching scheme is not optimized enough because the influence of the distributed power grid on power distribution is difficult to comprehensively consider in manual decision. Compared with the prior art, the storage medium provided by the embodiment of the application has the same beneficial effects as the self-adaptive power scheduling decision method provided by the embodiment, and is not repeated here.
Example seven
The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of an adaptive power scheduling decision method as described above.
The computer program product provided by the application aims to solve the technical problem that the power scheduling scheme is not optimized enough because the influence of the distributed power grid on the power distribution is difficult to comprehensively consider in the process of manual decision. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the application are the same as those of the adaptive power scheduling decision method provided by the embodiment, and are not described in detail herein.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein, or any application, directly or indirectly, within the scope of the application.

Claims (10)

1. An adaptive power scheduling decision method, which is characterized by being applied to a power scheduling decision system, comprises the following steps:
acquiring decision task information and power grid information, wherein the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid;
performing power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking a distribution result of the power distribution as a power dispatching solving result;
and converting the power dispatching solving result into a document, and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing a suggestion for dispatching the electric energy of each distributed power grid for dispatching personnel.
2. The adaptive power scheduling decision method of claim 1, wherein prior to the step of distributing power to the total grid and at least one of the distributed grids as a result of power scheduling solution in accordance with the decision goal and the decision limit, the adaptive power scheduling decision method further comprises:
Judging whether the decision task information lacks decision necessary information, wherein the decision necessary information at least comprises one of a decision target displayed in a numerical type and a decision limit displayed in the numerical type;
if the necessary decision information is absent, a preset search interface is called, and the necessary decision information is searched according to the preset search interface;
if the necessary decision information is found based on the preset search interface, the necessary decision information is supplemented to the decision task information so as to update the decision task information;
if the necessary decision information is not found through the preset search interface, generating a demand supplement instruction to prompt a user to supplement the decision task information, and updating the decision task information after the user supplements the decision task information.
3. The adaptive power scheduling decision-making method according to claim 2, wherein the step of calling a preset search interface if the decision-making necessary information is absent, and searching the decision-making necessary information according to the preset search interface comprises:
if the missing necessary decision information is the decision target displayed in the numerical value type, calling the preset search interface, and searching the decision target displayed in the numerical value type according to the decision target displayed in natural language;
If the missing necessary decision information is the decision limit displayed in the numerical value type, calling the preset search interface, and searching the decision limit displayed in the numerical value type according to the decision limit displayed in the natural language;
if the missing necessary decision information is the decision target displayed in the numerical value type and the decision limit displayed in the numerical value type, calling the preset search interface, searching the decision target displayed in the numerical value type according to the decision target displayed in natural language, and searching the decision limit displayed in the numerical value type according to the decision limit displayed in the natural language.
4. The adaptive power scheduling decision-making method of claim 2, wherein the step of determining whether the decision task information lacks decision-making necessary information comprises:
identifying a target display type of the decision target and a limit display type of the decision limit in the decision task information;
if the target display type of the decision target and the limit display type of the decision limit in the decision task information are both numerical types, determining that the necessary decision information is not lacking in the decision task information;
And if the target display type of the decision target in the decision task information is natural language and/or the limiting display type of the decision limiting is natural language, determining that the necessary decision information is absent in the decision task information.
5. The adaptive power scheduling decision method of claim 1, wherein the step of distributing power to the total grid and at least one of the distributed grids in accordance with the decision goal and the decision limit, and using the distribution result of the power distribution as the power scheduling solution result comprises:
inputting the power grid information, the decision target and the decision limit into a power dispatching decision model;
the power scheduling decision model distributes the total power grid power of the total power grid to at least one distributed power grid according to the decision target to obtain at least one distribution result, wherein the distribution result comprises the distributed power of the at least one distributed power grid and the power distribution cost for distributing the total power grid power to the at least one distributed power grid;
and taking the distribution result of the power distribution cost meeting the decision limit as the power dispatching solving result.
6. The adaptive power scheduling decision method of claim 1, wherein the step of document-converting the power scheduling solution result and outputting a power scheduling decision document comprises:
if the decision task information comprises a document format, determining a document conversion type according to the document format;
when the document conversion type is a text type, calling a preset text conversion model, converting the power dispatching solving result into a power dispatching text document, and taking the power dispatching text document as a power dispatching decision document;
when the document conversion type is an image type, calling a preset image conversion model, converting the power dispatching solving result into a power dispatching image document, and taking the power dispatching image document as a power dispatching decision document;
when the document conversion type is the image-text type, calling a preset image conversion model and a preset text conversion model, converting the power dispatching solving result into a power dispatching image-text document, and taking the power dispatching image-text document as a power dispatching decision document;
and if the decision task information does not comprise the document format, calling a preset image conversion model and/or a preset text conversion model to process the power dispatching solving result based on the power dispatching solving result to obtain a decision document displayed in an image and/or text, and taking the decision document as a power dispatching decision document.
7. The adaptive power scheduling decision method of claim 1, wherein the step of obtaining decision task information comprises:
and responding to a decision requirement input instruction of the user, determining the decision requirement of the user in a preset requirement instruction template, and generating the decision task information, wherein the preset requirement instruction template is used for standardizing the input of the user.
8. An adaptive power scheduling decision device, characterized by being applied to a power scheduling decision system, the adaptive power scheduling decision device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring decision task information and power grid information, the decision task information comprises a decision target and a decision limit, and the power grid information comprises a total power grid and a distributed power grid;
the scheduling result determining module is used for carrying out power distribution on the total power grid and at least one distributed power grid according to the decision target and the decision limit, and taking the distribution result of the power distribution as a power scheduling solving result;
the document conversion module is used for converting the document of the power dispatching solving result and outputting a power dispatching decision document, wherein the power dispatching decision document is used for providing advice for dispatching personnel to dispatch the electric energy of each distributed power grid.
9. An electronic device, the electronic device comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the adaptive power scheduling decision method of any one of claims 1 to 7.
10. A storage medium having stored thereon a program for implementing an adaptive power scheduling decision method, the program for implementing an adaptive power scheduling decision method being executed by a processor to implement the steps of the adaptive power scheduling decision method according to any one of claims 1 to 7.
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