CN116090760A - Scheduling method and device for power resources and computer equipment - Google Patents
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Abstract
The application relates to a scheduling method of power resources. The method comprises the following steps: acquiring regional power resource data, and generating a first scheduling scheme of power resources according to power parameters of an electric automobile terminal, demand parameters set by a user and the regional power resource data; generating updated regional power resource data according to the first scheduling scheme of the power resource and the historical power resource data of the power distribution network; generating an objective function according to the updated regional power resource data and the time span of the power resource to obtain power resource data of different time spans; and comparing the power resource data of different time spans with constraint conditions of the power distribution network, and acquiring scheduling data of the power resource according to a comparison result. By adopting the method, the power resource data can be effectively scheduled.
Description
Technical Field
The present invention relates to the field of new energy technologies, and in particular, to a method, an apparatus, and a computer device for scheduling electric power resources.
Background
With the wide use of electric vehicles, the charging load of the electric vehicles becomes a larger household electricity in the power distribution network, and in the working process of the power distribution network, the quantity of power resources of the power distribution network needs to be changed according to the charging rule of the electric vehicles.
In the related art, gain data of the power resource may be changed according to a peak value and a valley value of the charging time of the electric vehicle. However, it is difficult to improve the economy of the power distribution network by considering only the charging rule of the electric vehicle.
Disclosure of Invention
Based on this, it is necessary to provide a power resource scheduling method, which can construct a management framework for power resource scheduling of an electric vehicle including regional power resource data, power parameters of electric vehicle terminals, and power resource data of a power distribution network.
In a first aspect, the present application provides a method for scheduling power resources. The method comprises the following steps:
acquiring regional power resource data, and generating a first scheduling scheme of power resources according to power parameters of an electric automobile terminal, demand parameters set by a user and the regional power resource data;
generating updated regional power resource data according to the first scheduling scheme of the power resource and the historical power resource data of the power distribution network;
generating an objective function according to the updated regional power resource data and the time span of the power resource to obtain power resource data of different time spans;
and comparing the power resource data of different time spans with constraint conditions of the power distribution network, and acquiring scheduling data of the power resource according to a comparison result.
In one embodiment, the objective function includes:
In one embodiment, comparing the power resource data of different time spans with constraint conditions of the power distribution network, and obtaining the scheduling data of the power resource according to the comparison result includes:
if the power resource data of the different time spans meet the constraint conditions of the power distribution network, transmitting the power resource data of the different time spans to an electric automobile terminal to obtain scheduling data of power resources;
and if the power resource data of the different time spans do not meet the constraint condition of the power distribution network, updating the regional power resource data according to the power resource data of the different time spans, and transmitting the updated regional power resource data to an electric automobile terminal to obtain scheduling data of the power resource.
In one embodiment, the first scheduling scheme includes:
and constructing a power resource model according to the power parameters of the electric automobile terminal and the demand parameters set by the user, and inputting the regional power resource data serving as constraint conditions into the power resource model to obtain the first scheduling scheme.
In one embodiment, the regional power resource data includes power resource data of a plurality of electric automobile terminals, the power resource data of the electric automobile terminals includes a plurality of time spans, and the regional power resource data is obtained according to the power resource data corresponding to different time spans.
In a second aspect, the present application further provides a scheduling apparatus for power resources, where the apparatus includes:
the first scheduling scheme generation module is used for acquiring regional power resource data and generating a first scheduling scheme of power resources according to the power parameters of the electric automobile terminal, the demand parameters set by a user and the regional power resource data;
the regional power resource data acquisition module is used for generating updated regional power resource data according to the first scheduling scheme of the power resource and the historical power resource data of the power distribution network;
the power resource data generation module is used for generating an objective function according to the updated regional power resource data and the time span of the power resource to obtain power resource data of different time spans;
and the power resource scheduling data acquisition module is used for comparing the power resource data in different time spans with the constraint conditions of the power distribution network and acquiring the power resource scheduling data according to the comparison result.
In one embodiment, the objective function includes:
In one embodiment, comparing the power resource data of different time spans with constraint conditions of the power distribution network, and obtaining the scheduling data of the power resource according to the comparison result includes:
if the power resource data of the different time spans meet the constraint conditions of the power distribution network, transmitting the power resource data of the different time spans to an electric automobile terminal to obtain scheduling data of power resources;
and if the power resource data of the different time spans do not meet the constraint condition of the power distribution network, updating the regional power resource data according to the power resource data of the different time spans, and transmitting the updated regional power resource data to an electric automobile terminal to obtain scheduling data of the power resource.
In one embodiment, the first scheduling scheme includes:
and constructing a power resource model according to the power parameters of the electric automobile terminal and the demand parameters set by the user, and inputting the regional power resource data serving as constraint conditions into the power resource model to obtain the first scheduling scheme.
In one embodiment, the regional power resource data includes power resource data of a plurality of electric automobile terminals, the power resource data of the electric automobile terminals includes a plurality of time spans, and the regional power resource data is obtained according to the power resource data corresponding to different time spans.
In a third aspect, the present disclosure also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of the scheduling method of the power resources when the processor executes the computer program.
In a fourth aspect, the present disclosure also provides a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of a scheduling method for power resources.
In a fifth aspect, the present disclosure also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of a scheduling method for power resources.
The power resource scheduling method at least comprises the following beneficial effects:
according to the embodiment scheme provided by the disclosure, a management frame of electric vehicle power resource scheduling including regional power resource data, power parameters of the electric vehicle terminals and power resource data of the power distribution network can be constructed, and scheduling of power resources is automatically coordinated among the data.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments or the conventional techniques of the present disclosure, the drawings required for the descriptions of the embodiments or the conventional techniques will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to the drawings without inventive effort to those of ordinary skill in the art.
FIG. 1 is an application environment diagram of a power resource scheduling method in one embodiment;
FIG. 2 is a flow chart of a power resource scheduling method in one embodiment;
FIG. 3 is a diagram of a regional aggregation agent scheduling resource data, in one embodiment;
FIG. 4 is a schematic diagram of a management architecture in one embodiment;
FIG. 5 is a schematic diagram of a power distribution network control center agent scheduling power resource data in one embodiment;
FIG. 6 is a flow diagram of an electric vehicle agent scheduling power resource data in one embodiment;
FIG. 7 is a block diagram of a power resource scheduler in one embodiment;
FIG. 8 is an internal block diagram of a computer device in one embodiment;
fig. 9 is an internal structural diagram of a server in one embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element. For example, if first, second, etc. words are used to indicate a name, but not any particular order.
The embodiment of the disclosure provides a scheduling method of power resources, which can be applied to an application environment as shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In some embodiments of the present disclosure, as shown in fig. 2, a power resource scheduling method is provided, and the method is applied to the server in fig. 1 to process the power resource for illustration. It will be appreciated that the method may be applied to a server, and may also be applied to a system comprising a terminal and a server, and implemented by interaction of the terminal and the server. In a specific embodiment, the method may include the steps of:
s202: and acquiring regional power resource data, and generating a first scheduling scheme of power resources according to the power parameters of the electric automobile terminal, the demand parameters set by a user and the regional power resource data.
The electric parameters of the electric automobile terminal can be obtained through an electric automobile agent, and the electric automobile agent is an electric terminal of a power grid and can be regarded as an intelligent charging device installed in an electric automobile or a user garage. The regional power resource data may be power resource data issued by a regional aggregator proxy, and the user may change the power resource data according to a use requirement of the power resource. The first scheduling scheme of the power resource can be generated by acquiring regional power resource data, the power parameters of the electric automobile terminal and the demand parameters set by the user.
S204: and generating updated regional power resource data according to the first scheduling scheme of the power resource and the historical power resource data of the power distribution network.
FIG. 3 is a schematic diagram of regional aggregation agent scheduling resource data in one embodiment. The regional aggregator agent is responsible for providing charging service for the electric vehicles in the controlled region, and can coordinate the conventional load of the next day on the charging behavior of the electric vehicles in a power resource guiding mode and formulate charging resource data by the simulation data of the charging load of the electric vehicles so as to minimize the peak-valley difference of the load of the distribution network. And when the regional aggregator runs in real time, the regional aggregator can receive the first scheduling scheme of the electric vehicle terminal, if the first scheduling scheme meets the use requirement, the first scheduling scheme is used as updated regional power resource data, and if the first scheduling scheme does not meet the use requirement, the historical power resource data of the power distribution network is used as regional power resource data of the regional aggregator.
S206: and generating an objective function according to the updated regional power resource data and the time span of the power resource, and obtaining power resource data of different time spans.
The power resource data are different in resource gain data in each time period, the power resource data of the next day can be coordinated according to the charging behavior of the electric automobile in a power resource guiding mode, and the minimum difference between the peak value and the valley value of the power resource provided by the power distribution network can be ensured.
S208: and comparing the power resource data of different time spans with constraint conditions of the power distribution network, and acquiring scheduling data of the power resource according to a comparison result.
After receiving the power resource data of the electric automobile agent and the regional aggregator agent, the power distribution network control center can compare the power resource data with constraint conditions, and if the power resource data in a certain time period violates the constraint conditions, the power distribution network control center can adjust the power resource data again according to the safety constraint of the power distribution network and inform the regional aggregator agent to change the power resource gain data, so that the normal operation of the power distribution network can be ensured. The power distribution network control center agent is located on a transformer side in the power distribution network and used for managing safe operation of the power distribution network in the area, and can evaluate power resource data according to the safety constraint of the power distribution network and be used for scheduling power resources.
FIG. 4 is a schematic diagram of a management architecture in one embodiment.
According to the power resource scheduling method, the management framework comprising the electric automobile agent, the regional aggregator agent and the power distribution network control center agent can be constructed, the scheduling period can be adjusted according to the requirements of the electric automobile terminal, the scheduling period unit is set according to the scheduling period, the power resource data can be scheduled in each time period, the agent models of three layers can perform optimization calculation according to the acquired power resource data, and the scheduling speed of the power resource data can be accelerated.
In some embodiments of the present disclosure, the objective function includes:
After a scheduling period and a scheduling period unit are selected, the preset power resource scheduling data of each node in the period of the area can be aggregated according to the period unit accessed by each electric automobile, and the power resource scheduling data can be used for the security check of the power distribution network control center agent. The matrix form of the power resource scheduling data may be expressed as
In some embodiments of the present disclosure, comparing the power resource data of different time spans with constraint conditions of the power distribution network, and obtaining the scheduling data of the power resource according to the comparison result includes:
if the power resource data of the different time spans meet the constraint conditions of the power distribution network, transmitting the power resource data of the different time spans to an electric automobile terminal to obtain scheduling data of power resources;
and if the power resource data of the different time spans do not meet the constraint condition of the power distribution network, updating the regional power resource data according to the power resource data of the different time spans, and transmitting the updated regional power resource data to an electric automobile terminal to obtain scheduling data of the power resource.
Fig. 5 is a schematic diagram of a power distribution network control center agent scheduling power resource data in one embodiment. Constraints may include feeder constraints, capacity constraints of transformers, node voltage constraints, and the like. And if the power resource data of different time spans meet the constraint condition of the power distribution network, charging according to the obtained power resource data of different time spans. If the conditions of increasing the power resource calling amount of the user, out-of-limit node voltage caused by the power resource data prediction error and the like occur, the power resource gain amount in the out-of-limit period can be changed, updated power resource data is transmitted to the power automobile terminal, and the stability of the system can be ensured.
In some embodiments of the present disclosure, the first scheduling scheme includes:
and constructing a power resource model according to the power parameters of the electric automobile terminal and the demand parameters set by the user, and inputting the regional power resource data serving as constraint conditions into the power resource model to obtain the first scheduling scheme.
Fig. 6 is a flow chart of an electric vehicle agent scheduling power resource data in one embodiment. The demand parameters set by the user may include information of a charging start time, a charging end time, an amount of electricity at the end of charging, charging efficiency, and the like. The power resource model targets a charging continuity maximum value and a power resource gain amount minimum value, and a first scheduling scheme can be obtained.
In some embodiments of the present disclosure, the regional power resource data includes power resource data of a plurality of electric vehicle terminals, the power resource data of the electric vehicle terminals includes a plurality of time spans, and the regional power resource data is obtained according to the power resource data corresponding to different time spans.
The regional aggregation agent can predict the conventional power resources of a plurality of electric vehicles according to the historical power resource data, and schedule the power resources according to the power resource requirements of a plurality of time spans.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the present disclosure also provides a power resource scheduling apparatus for implementing the above-mentioned scheduling method for power resources. The implementation scheme of the solution to the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitation in the embodiment of the power resource scheduling device provided below can be referred to the limitation of the power resource scheduling method in the above description, and will not be repeated here.
The apparatus may comprise a system (including a distributed system), software (applications), modules, components, servers, clients, etc. that employ the methods described in the embodiments of the present specification in combination with the necessary apparatus to implement the hardware. Based on the same innovative concepts, embodiments of the present disclosure provide for devices in one or more embodiments as described in the following examples. Because the implementation scheme and the method for solving the problem by the device are similar, the implementation of the device in the embodiment of the present disclosure may refer to the implementation of the foregoing method, and the repetition is not repeated. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements the intended function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
In one embodiment, as shown in fig. 7, a scheduling apparatus 700 of power resources is provided, which may be the aforementioned server, or a module, a component, a device, a unit, etc. integrated with the server.
The apparatus 700 may include:
the first scheduling scheme generating module 702 is configured to obtain regional power resource data, and generate a first scheduling scheme of power resources according to power parameters of the electric vehicle terminal, demand parameters set by a user, and the regional power resource data;
the regional power resource data acquisition module 704 is configured to generate updated regional power resource data according to the first scheduling scheme of the power resource and the historical power resource data of the power distribution network;
a power resource data generating module 706, configured to generate an objective function according to the updated regional power resource data and the time span of the power resource, so as to obtain power resource data of different time spans;
and the power resource scheduling data acquisition module 708 is configured to compare the power resource data of different time spans with constraint conditions of the power distribution network, and acquire power resource scheduling data according to a comparison result.
In one embodiment, the objective function includes:
In one embodiment, comparing the power resource data of different time spans with the constraint condition of the power distribution network, and obtaining the scheduling data of the power resource according to the comparison result includes:
if the power resource data of the different time spans meet the constraint conditions of the power distribution network, transmitting the power resource data of the different time spans to an electric automobile terminal to obtain scheduling data of power resources;
and if the power resource data of the different time spans do not meet the constraint condition of the power distribution network, updating the regional power resource data according to the power resource data of the different time spans, and transmitting the updated regional power resource data to an electric automobile terminal to obtain scheduling data of the power resource.
In one embodiment, the first scheduling scheme includes:
and constructing a power resource model according to the power parameters of the electric automobile terminal and the demand parameters set by the user, and inputting the regional power resource data serving as constraint conditions into the power resource model to obtain the first scheduling scheme.
In one embodiment, the regional power resource data includes power resource data of a plurality of electric automobile terminals, the power resource data of the electric automobile terminals includes a plurality of time spans, and the regional power resource data is obtained according to the power resource data corresponding to different time spans.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
The respective modules in the scheduling apparatus for power resources described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing power resources. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of scheduling power resources.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program, when executed by the processor, implements a scheduling method for power resources. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the structures shown in fig. 8, 9 are block diagrams of only portions of structures associated with the disclosed aspects and are not limiting of the computer apparatus on which the disclosed aspects may be implemented, and that a particular computer apparatus may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, implements the method of any of the embodiments of the present disclosure.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method described in any of the embodiments of the present disclosure.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided by the present disclosure may include at least one of non-volatile and volatile memory, among others. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided by the present disclosure may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors involved in the embodiments provided by the present disclosure may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic, quantum computing-based data processing logic, etc., without limitation thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples have expressed only a few embodiments of the present disclosure, which are described in more detail and detail, but are not to be construed as limiting the scope of the present disclosure. It should be noted that variations and modifications can be made by those skilled in the art without departing from the spirit of the disclosure, which are within the scope of the disclosure. Accordingly, the scope of the present disclosure should be determined from the following claims.
Claims (13)
1. A method for scheduling power resources, the method comprising:
acquiring regional power resource data, and generating a first scheduling scheme of power resources according to power parameters of an electric automobile terminal, demand parameters set by a user and the regional power resource data;
generating updated regional power resource data according to the first scheduling scheme of the power resource and the historical power resource data of the power distribution network;
generating an objective function according to the updated regional power resource data and the time span of the power resource to obtain power resource data of different time spans;
and comparing the power resource data of different time spans with constraint conditions of the power distribution network, and acquiring scheduling data of the power resource according to a comparison result.
2. The method of claim 1, wherein the objective function comprises:
3. The method according to claim 1, wherein comparing the power resource data of different time spans with the constraint condition of the power distribution network, and obtaining the scheduling data of the power resource according to the comparison result includes:
if the power resource data of the different time spans meet the constraint conditions of the power distribution network, transmitting the power resource data of the different time spans to an electric automobile terminal to obtain scheduling data of power resources;
and if the power resource data of the different time spans do not meet the constraint condition of the power distribution network, updating the regional power resource data according to the power resource data of the different time spans, and transmitting the updated regional power resource data to an electric automobile terminal to obtain scheduling data of the power resource.
4. The method of claim 1, wherein the first scheduling scheme comprises:
and constructing a power resource model according to the power parameters of the electric automobile terminal and the demand parameters set by the user, and inputting the regional power resource data serving as constraint conditions into the power resource model to obtain the first scheduling scheme.
5. The method of claim 1, wherein the regional power resource data comprises power resource data of a plurality of electric vehicle terminals, the power resource data of the electric vehicle terminals comprising a plurality of time spans, the regional power resource data being obtained from the power resource data corresponding to different time spans.
6. A scheduling apparatus for power resources, the apparatus comprising:
the first scheduling scheme generation module is used for acquiring regional power resource data and generating a first scheduling scheme of power resources according to the power parameters of the electric automobile terminal, the demand parameters set by a user and the regional power resource data;
the regional power resource data acquisition module is used for generating updated regional power resource data according to the first scheduling scheme of the power resource and the historical power resource data of the power distribution network;
the power resource data generation module is used for generating an objective function according to the updated regional power resource data and the time span of the power resource to obtain power resource data of different time spans;
and the power resource scheduling data acquisition module is used for comparing the power resource data in different time spans with the constraint conditions of the power distribution network and acquiring the power resource scheduling data according to the comparison result.
7. The apparatus of claim 6, wherein the objective function comprises:
8. The apparatus of claim 6, wherein comparing the power resource data for different time spans with the constraint condition of the power distribution network, and wherein obtaining the scheduling data for the power resource according to the comparison result comprises:
if the power resource data of the different time spans meet the constraint conditions of the power distribution network, transmitting the power resource data of the different time spans to an electric automobile terminal to obtain scheduling data of power resources;
and if the power resource data of the different time spans do not meet the constraint condition of the power distribution network, updating the regional power resource data according to the power resource data of the different time spans, and transmitting the updated regional power resource data to an electric automobile terminal to obtain scheduling data of the power resource.
9. The apparatus of claim 6, wherein the first scheduling scheme comprises:
and constructing a power resource model according to the power parameters of the electric automobile terminal and the demand parameters set by the user, and inputting the regional power resource data serving as constraint conditions into the power resource model to obtain the first scheduling scheme.
10. The apparatus of claim 6, wherein the regional power resource data comprises power resource data for a plurality of electric vehicle terminals, the power resource data for the electric vehicle terminals comprising a plurality of time spans, the regional power resource data being obtained from power resource data corresponding to different time spans.
11. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
12. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
13. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
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