CN115907380A - Power load management method and device, electronic equipment and storage medium - Google Patents

Power load management method and device, electronic equipment and storage medium Download PDF

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Publication number
CN115907380A
CN115907380A CN202211475657.4A CN202211475657A CN115907380A CN 115907380 A CN115907380 A CN 115907380A CN 202211475657 A CN202211475657 A CN 202211475657A CN 115907380 A CN115907380 A CN 115907380A
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China
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user
load
determining
power
users
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Inventor
魏筱雨
许晓春
张友荣
梁爱萍
李志梅
赵岭
周瑜菲
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Priority to CN202211475657.4A priority Critical patent/CN115907380A/en
Publication of CN115907380A publication Critical patent/CN115907380A/en
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Abstract

The embodiment of the invention discloses an electric load management method, an electric load management device, electronic equipment and a storage medium. The method comprises the following steps: acquiring historical electricity utilization data of at least one user within set time, and determining the electricity utilization load of each user according to the historical electricity utilization data; determining user classification labels matched with all users, and respectively determining total power loads corresponding to all the user classification labels according to the power loads of all the users; and determining a power distribution scheme according to the total power loads. According to the scheme of the embodiment of the invention, the power load of each user can be quickly checked, a reasonable power distribution scheme can be obtained before the ordered power utilization is started, and the power load can be effectively managed.

Description

Power load management method and device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of electric load management, in particular to an electric load management method and device, electronic equipment and a storage medium.
Background
The electric load refers to the sum of electric power acquired by electric equipment of a user to an electric power system at a certain moment; at the present stage, the power load of each user can only be manually inquired by one user, batch check cannot be realized, even the whole power load of each region cannot be checked, new load data exist in the user data of the last ten thousands of users every 15 minutes, the efficiency is low by completely depending on manual check, and the whole situation cannot be mastered. During the starting of ordered power utilization, the execution condition of load reduction of a user cannot be monitored in real time, so that the problems that the power utilization load cannot be effectively controlled, and even exceeds the power grid supply capacity, so that power failure tripping and the like are caused are solved, the power supply reliability of a power grid is reduced, and the number of users and the time length of power failure of the user during power failure are increased.
Therefore, how to quickly check the power load of each user and obtain a reasonable power distribution scheme before starting the ordered power utilization is a key problem of research in the industry.
Disclosure of Invention
The embodiment of the invention provides an electricity load management method, an electricity load management device, electronic equipment and a storage medium, so that the electricity load of each user can be quickly checked, a reasonable power distribution scheme can be obtained before orderly electricity utilization is started, and the electricity load can be effectively managed.
According to an aspect of the embodiments of the present invention, there is provided an electrical load management method, including:
acquiring historical electricity utilization data of at least one user within set time, and determining the electricity utilization load of each user according to the historical electricity utilization data;
determining user classification labels matched with the users, and respectively determining total power loads corresponding to the user classification labels according to the power loads of the users;
and determining a power distribution scheme according to the total power loads.
According to another aspect of the embodiments of the present invention, there is provided an electrical load management apparatus, including:
the historical electricity utilization data acquisition module is used for acquiring historical electricity utilization data of at least one user within set time and determining the electricity utilization load of each user according to the historical electricity utilization data;
the total power load determining module is used for determining the user classification labels matched with the users and respectively determining the total power load corresponding to the user classification labels according to the power load of the users;
and the power distribution scheme determining module is used for determining a power distribution scheme according to the total power loads.
According to another aspect of the embodiments of the present invention, there is provided an electronic apparatus, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the power load management method according to any of the embodiments of the present invention.
According to another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement a power load management method according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, historical electricity utilization data of at least one user in set time is obtained, and the electricity utilization load of each user is determined according to each historical electricity utilization data; determining user classification labels matched with the users, and determining total power loads corresponding to the user classification labels according to the power loads of the users; the power distribution scheme is determined according to the total power loads, the power loads of all users can be quickly checked, a reasonable power distribution scheme can be obtained before the ordered power utilization is started, and then the power loads are effectively managed.
It should be understood that the statements in this section do not necessarily identify key or critical features of any embodiments of the present invention, nor limit the scope of any embodiments of the present invention. Other features of embodiments of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an electrical load management method according to an embodiment of the present invention;
fig. 2 is a flowchart of an electrical load management method according to a second embodiment of the present invention;
fig. 3 is a flowchart of an electrical load monitoring method according to a second embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a demand-side management platform according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electrical load management apparatus according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device implementing the electrical load management method according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the embodiments of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention without any creative efforts shall fall within the protection scope of the embodiments of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the embodiments of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of an electrical load management method according to an embodiment of the present invention, where the embodiment is applicable to a case where electrical loads of users are determined and a reasonable power distribution scheme is generated, the method may be executed by an electrical load management apparatus, which may be implemented in a form of hardware and/or software, and the electrical load management apparatus may be configured in an electronic device such as a computer, a server, or a tablet computer. Specifically, referring to fig. 1, the method specifically includes the following steps:
step 110, historical electricity consumption data of at least one user in a set time is obtained, and electricity load of each user is determined according to each historical electricity consumption data.
The users involved in this embodiment may be residential users, for example, residential users in a certain cell of a city; the present invention may also be applied to an enterprise user, such as a manufacturing company or an application development company in a certain market, which is not limited in this embodiment.
The set time may be any time or any time period, which is not limited in this embodiment, and may be ten monday evenings, or six sunny stars and eight sunday evenings, to twelve sunday evenings, for example.
In an optional implementation manner of the embodiment, historical electricity consumption data of each user within a set time may be acquired; for example, the acquired historical electricity consumption data may be 1 degree electricity, 100 degrees electricity, 1000 degrees electricity, or the like, which is not limited in this embodiment; further, the power load of each user can be determined according to the acquired historical power consumption data.
Optionally, in this embodiment, acquiring historical power consumption data of at least one user within a set time, and determining the power consumption load of each user according to each historical power consumption data may include: acquiring ammeter data of a target user within set time, and determining target historical electricity utilization data matched with the target user according to the ammeter data; and converting the target historical electricity utilization data into a target electricity utilization load of a target user according to a set conversion algorithm.
The target user may be any one of the above users, which is not limited in this embodiment.
In an optional implementation manner of this embodiment, if the set time is ten am to ten pm, the electric meter data of the target user at two times, namely ten am and ten pm, may be obtained respectively, and the historical electricity consumption data of the target user is determined according to a difference between the electric meter data and the historical electricity consumption data; after the target historical electricity utilization data of the target user is determined, the determined target historical electricity utilization data can be further converted into the electricity load of the target user, namely the target electricity load according to a conversion algorithm.
The set conversion algorithm may be a conversion algorithm between power consumption and an electrical load, and may determine a relationship between the power consumption and the electrical load in advance, and convert the target historical power consumption data into the target electrical load according to the relationship.
And step 120, determining the user classification labels matched with the users, and determining the total power load corresponding to the user classification labels according to the power load of the users.
The user classification label may include a user industry or a region where the user is located, and the like, which is not limited in this embodiment.
In an optional implementation manner of this embodiment, after determining, according to the obtained historical electricity data, the electricity load of each user, a user classification tag matched with each user may be further determined, and a total electricity load corresponding to each user classification tag may be determined according to the electricity load of each user.
For example, in this embodiment, if ten users are included, five users in the industry of the ten users are agricultural users, five users are non-agricultural users, and the areas where the users are located are all the area a, that is, in this example, three classification tags of agricultural users, non-agricultural users, and the area a are included in total; further, the total power load corresponding to the user classification label of the agricultural user can be determined, that is, the power loads of five agricultural users are added; and determining the total power load corresponding to the user classification label of the non-agricultural user and the total power load corresponding to the user classification label of the region A.
Optionally, in this embodiment, determining the user classification label matched with each user, and determining the total power load corresponding to each user classification label according to the power load of each user respectively may include: determining a target user number corresponding to the target user; determining a target user classification label corresponding to the target user according to a preset classification rule; determining all reference users corresponding to the target user classification labels; and adding the power loads of the reference users to obtain the total power load corresponding to the target user classification label.
The preset classification rule can be determined by the house number, for example, the first number of the house number is 1 for agricultural users, and the first number of the house number is 2 for non-agricultural users; the second digit is 1 for region a, the second digit is B for region B, and so on, which is not limited in this embodiment.
In an optional implementation manner of this embodiment, while obtaining the historical electricity consumption data through the electric meter of the target user, the number of the electric meter of the target user may also be obtained, and then the classification label of the target user is determined according to the classification rule of the number of the user; after the user classification labels of all users are determined, all users (named as reference users in this embodiment) corresponding to the target user classification labels can be determined; further, the power loads of the reference users can be obtained, and the power loads are added to obtain the total power load corresponding to the target user classification label.
In an example of this embodiment, if the target classification label of the target user is an agricultural user, the power loads of all agricultural users may be further obtained, and the power loads may be added to obtain a total power load corresponding to the agricultural user.
And step 130, determining a power distribution scheme according to the total power loads.
In an optional implementation manner of this embodiment, after the total power loads corresponding to the user classification tags are respectively determined, a reasonable power distribution scheme may be further obtained according to the determined total power loads, and power resources are distributed to different users.
Optionally, in this embodiment, determining a power distribution scheme according to each total electrical load may include: respectively determining each reference total electric load matched with each total electric load, and distributing the electric loads for each user according to each reference total electric load; and the reference total electric load matched with the target total electric load is greater than or equal to the target total electric load.
For example, in this embodiment, if the total electrical load corresponding to the first user classification label is 100kw, the reference total electrical load corresponding to the total electrical load may be 105kw, or 110kw, etc.; if the total electrical load corresponding to the second user classification tag is 500kw, the reference total electrical load corresponding to the total electrical load may be 505kw or 509kw, which is not limited in this embodiment; wherein the first user classification label and the second user classification label may be any user classification label.
According to the technical scheme of the embodiment, historical electricity utilization data of at least one user in set time is obtained, and the electricity utilization load of each user is determined according to the historical electricity utilization data; determining user classification labels matched with the users, and determining total power loads corresponding to the user classification labels according to the power loads of the users; the power distribution scheme is determined according to the total power loads, the power loads of all users can be quickly checked, a reasonable power distribution scheme can be obtained before the ordered power utilization is started, and the power loads are effectively managed.
Example two
Fig. 2 is a flowchart of an electrical load management method according to a second embodiment of the present invention, which is a further refinement of the foregoing technical solutions, and the technical solutions in this embodiment may be combined with various alternatives in one or more of the foregoing embodiments. As shown in fig. 2, the power load management method may include the following steps:
step 210, obtaining historical electricity utilization data of at least one user in a set time, and determining electricity utilization load of each user according to each historical electricity utilization data.
Step 220, determining the user classification labels matched with the users, and determining the total power load corresponding to the user classification labels according to the power loads of the users.
And step 230, generating chart data corresponding to the total electric loads so as to count the electric loads of the users in each industry and/or each region.
In an optional implementation manner of this embodiment, after obtaining the total power load corresponding to each user classification tag, graph data corresponding to each total power load may be further generated, so as to count the power loads of users in different industries and different regions, thereby providing a basis for power distribution in each region.
And 240, determining a power distribution scheme according to the total power loads.
According to the scheme of the embodiment, after the total power load corresponding to each user classification label is obtained, the chart data corresponding to each total power load can be further generated, so that the power loads of users in different industries and different regions can be counted, and a basis is provided for power distribution of each region.
On the basis of the above technical solution, the power load management method may further include: acquiring a reference power load and a real-time power load of a target user; and determining the increased and decreased power consumption of the target user according to the reference power consumption load and the real-time power consumption load, and generating a peak-shifting execution condition report matched with the target user according to the increased and decreased power consumption.
In an optional implementation manner of this embodiment, after determining the increased or decreased power consumption of the target user according to the reference power consumption and the real-time power consumption, the method may further include: determining the effective response quantity and the ineffective response quantity of the demand response of the target user matched with the target user according to the increase and decrease electricity consumption; and determining response income according to the effective response quantity and the ineffective response quantity, and producing a response income condition report according to the response income.
The method has the advantages that the reference load of the target user is automatically calculated, the real-time load of the target user is grabbed, the load increase and decrease of the target user are automatically calculated, the peak load shifting execution state of the target user is judged according to a logic algorithm by the robot, and a condition report is displayed and generated by the bright red, yellow and green lamps; the method comprises the steps of automatically calculating the reference electric quantity of a target user, capturing the real-time electric quantity of the target user, automatically calculating the electric quantity increase and decrease of the target user, judging the effective response quantity and the ineffective response quantity of the demand response of the target user according to a logic algorithm by a robot, calculating the response income according to the logic algorithm by the robot, and generating a demand response income condition report.
In order to better understand the management method of the electrical load involved in the embodiment of the present invention, fig. 3 is a flowchart of a monitoring method of the electrical load according to the second embodiment of the present invention, which mainly includes 6 steps, respectively circulating in the metering automation system and the demand side management platform.
Specifically, referring to fig. 3, it mainly includes the following:
step 310, determining a user account;
the user account can be the electricity consumption data and/or the account number and the classification label information of the user.
Step 320, remotely acquiring load data according to the user metering points;
step 330, integrating and calculating the load of the metering point according to the number of each user;
step 340, classifying and summarizing loads according to user industries;
step 350, calculating the execution situation according to a single account number;
and step 360, counting the report.
Fig. 4 is a schematic structural diagram of a demand side management platform according to a second embodiment of the present invention, which mainly includes: the system comprises a user load timing calculation module 410, a regional industry classified load summary calculation module 420, a peak-off user real-time load calculation module 430 and a demand response user real-time electric quantity calculation module 440.
The user load timing calculation module 410 is used for remotely acquiring corresponding load data of a user metering point, integrating the loads of the metering point according to the number of users by the robot timing and according to a logic algorithm, and generating user load report forms in batches, so that workers can conveniently and visually check the exported data.
And the regional industry classified load summarizing and calculating module 420 is used for calculating the load of a single user, capturing user industry classified labels, summarizing and calculating the user loads classified in the same industry and generating chart data.
The peak staggering user real-time load calculation module 430 is used for importing the functions of the target user, automatically calculating the reference load of the target user, capturing the real-time load of the target user, automatically calculating the load increase and decrease of the target user, judging the peak staggering execution state of the target user according to a logic algorithm by the robot, and displaying the peak staggering execution state through a bright red light, a bright yellow light and a bright green light to generate a peak staggering execution condition report.
The demand response user real-time electric quantity calculation module 440 is used for importing a target user function, automatically calculating the reference electric quantity of the target user, capturing the real-time electric quantity of the target user, automatically calculating the electric quantity of the target user, judging the demand response effective response quantity and the demand response ineffective response quantity of the target user according to a logic algorithm by the robot, calculating the response income according to the logic algorithm by the robot, and generating a demand response income condition report.
In the technical scheme of the embodiment of the invention, the acquisition, storage, application and the like of the personal information (such as power consumption information, face information, voice information and the like) of the related user all accord with the regulations of related laws and regulations without breaking the good custom of the public order.
EXAMPLE III
Fig. 5 is a schematic structural diagram of an electrical load management apparatus according to a third embodiment of the present invention. As shown in fig. 5, the apparatus includes: a historical electricity consumption data acquisition module 510, a total electricity load determination module 520, and a power distribution scheme determination module 530.
The historical electricity utilization data acquisition module acquires historical electricity utilization data of at least one user within set time, and determines electricity utilization loads of the users according to the historical electricity utilization data;
a total power load determining module 520, configured to determine user classification tags matched with the users, and determine, according to the power loads of the users, total power loads corresponding to the user classification tags respectively;
a power distribution scheme determining module 530, configured to determine a power distribution scheme according to each of the total electrical loads.
According to the scheme of the embodiment, historical electricity utilization data of at least one user in set time is acquired through a historical electricity utilization data acquisition module, and electricity utilization loads of the users are determined according to the historical electricity utilization data; determining user classification labels matched with the users through a total power load determining module, and determining total power loads corresponding to the user classification labels according to the power loads of the users; the power distribution scheme is determined through the power distribution scheme determining module, the power load of each user can be quickly checked, a reasonable power distribution scheme can be obtained before the ordered power utilization is started, and then the power load is effectively managed.
In an optional implementation manner of this embodiment, the historical electricity consumption data obtaining module 510 is specifically configured to obtain electricity meter data of a target user within a set time, and determine target historical electricity consumption data matched with the target user according to the electricity meter data; and converting the target historical electricity utilization data into a target electricity utilization load of a target user according to a set conversion algorithm.
In an optional implementation manner of this embodiment, the total power load determining module 520 is specifically configured to determine a target subscriber number corresponding to the target subscriber; determining a target user classification label corresponding to the target user according to a preset classification rule; determining all reference users corresponding to the target user classification labels; adding the power loads of the reference users to obtain a total power load corresponding to the target user classification label; wherein the user classification label comprises at least one of: the user industry and the region where the user is located.
In an optional implementation manner of this embodiment, the electrical load management apparatus further includes: and the chart data generation module is used for generating chart data corresponding to each total electric load so as to count the electric loads of users in each industry and/or each region.
In an optional implementation manner of this embodiment, the power distribution scheme determining module 530 is specifically configured to determine each reference total power load matched with each total power load, and distribute the power loads to each user according to each reference total power load;
and the reference total electric load matched with the target total electric load is greater than or equal to the target total electric load.
In an optional implementation manner of this embodiment, the electrical load management apparatus further includes: the peak-staggering execution condition report generation module is used for acquiring the reference power load and the real-time power load of the target user;
and determining the increased and decreased power consumption of the target user according to the reference power consumption load and the real-time power consumption load, and generating a peak-shifting execution condition report matched with the target user according to the increased and decreased power consumption.
In an optional implementation manner of this embodiment, the electrical load management apparatus further includes: the income condition report generation module is used for determining the effective response quantity and the ineffective response quantity of the demand response of the target user matched with the target user according to the increase and decrease electricity consumption;
and determining response income according to the effective response quantity and the ineffective response quantity, and generating a response income condition report according to the response income.
The power load management device provided by the embodiment of the invention can execute the power load management method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
FIG. 6 illustrates a block diagram of an electronic device 10 that may be used to implement embodiments of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of embodiments of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the electrical load management method.
In some embodiments, the electrical load management method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above described power load management method may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the power load management method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Computer programs for implementing methods of embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of embodiments of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the embodiments of the present invention may be executed in parallel, may be executed sequentially, or may be executed in different orders, as long as the desired result of the technical solution of the embodiments of the present invention can be achieved, which is not limited herein.
The above detailed description does not limit the scope of the embodiments of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the embodiments of the present invention should be included in the scope of the embodiments of the present invention.

Claims (10)

1. An electrical load management method, comprising:
acquiring historical electricity utilization data of at least one user within set time, and determining the electricity utilization load of each user according to the historical electricity utilization data;
determining user classification labels matched with the users, and respectively determining total power loads corresponding to the user classification labels according to the power loads of the users;
and determining a power distribution scheme according to the total power loads.
2. The method of claim 1, wherein the obtaining historical electricity consumption data of at least one user in a set time and determining the electricity load of each user according to each historical electricity consumption data comprises:
acquiring ammeter data of a target user within set time, and determining target historical electricity utilization data matched with the target user according to the ammeter data;
and converting the target historical electricity utilization data into a target electricity utilization load of a target user according to a set conversion algorithm.
3. The method of claim 2, wherein determining the user category label matching each of the users, and determining the total power usage corresponding to each of the user category labels according to the power usage of each of the users, respectively, comprises:
determining a target user number corresponding to the target user;
determining a target user classification label corresponding to the target user according to a preset classification rule;
determining all reference users corresponding to the target user classification labels;
adding the power loads of the reference users to obtain a total power load corresponding to the target user classification label;
wherein the user classification label comprises at least one of: the user industry and the region where the user is located.
4. The method of claim 3, further comprising, after obtaining the total electrical load corresponding to the target user category label:
and generating chart data corresponding to the total power loads so as to count the power loads of users in all industries and/or all regions.
5. The method of claim 1, wherein said determining a power distribution scheme from each of said total electrical loads comprises:
respectively determining each reference total electric load matched with each total electric load, and distributing the electric loads for each user according to each reference total electric load;
and the reference total electric load matched with the target total electric load is greater than or equal to the target total electric load.
6. The method of claim 1, further comprising:
acquiring a reference power load and a real-time power load of a target user;
and determining the increased and decreased power consumption of the target user according to the reference power consumption load and the real-time power consumption load, and generating a peak-shifting execution condition report matched with the target user according to the increased and decreased power consumption.
7. The method of claim 6, wherein after determining the increased or decreased power usage of the target user based on the reference power load and the real-time power load, further comprising:
determining the effective response quantity and the ineffective response quantity of the demand response of the target user matched with the target user according to the increase and decrease electricity consumption;
and determining response income according to the effective response quantity and the ineffective response quantity, and generating a response income condition report according to the response income.
8. An electrical load management apparatus, comprising:
the historical electricity utilization data acquisition module is used for acquiring historical electricity utilization data of at least one user within set time and determining the electricity utilization load of each user according to the historical electricity utilization data;
the total power load determining module is used for determining the user classification labels matched with the users and respectively determining the total power load corresponding to the user classification labels according to the power load of the users;
and the power distribution scheme determining module is used for determining a power distribution scheme according to the total power loads.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power load management method of any one of claims 1-7.
10. A computer-readable storage medium having stored thereon computer instructions for causing a processor, when executed, to implement the method of power load management as recited in any one of claims 1-7.
CN202211475657.4A 2022-11-23 2022-11-23 Power load management method and device, electronic equipment and storage medium Pending CN115907380A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211475657.4A CN115907380A (en) 2022-11-23 2022-11-23 Power load management method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211475657.4A CN115907380A (en) 2022-11-23 2022-11-23 Power load management method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN115907380A true CN115907380A (en) 2023-04-04

Family

ID=86472311

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211475657.4A Pending CN115907380A (en) 2022-11-23 2022-11-23 Power load management method and device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN115907380A (en)

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