Electric equipment control method and device, equipment, medium and product

Abstract

The invention discloses an electric equipment control method and device, equipment, a medium and a product. The method comprises the steps of determining target electric equipment in response to a control request for the electric equipment, and constructing a target function according to operation data, market electricity price and unit electricity consumption duration of the target electric equipment; according to the operation data of the target electric equipment and the target function, predicting the optimal electric power of the target electric equipment at the next moment; and determining a target power utilization strategy for the target power utilization equipment according to the optimal power utilization power and the average power utilization power of the target power utilization equipment so as to control the operation of the target power utilization equipment. According to the technical scheme, the energy utilization efficiency can be improved, the power utilization cost of a user is reduced, and flexible adjustment of the smart home equipment is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of virtual power plants, and in particular to a control method, device, equipment, medium and product for electrical equipment. Background Art

[0002] With the advancement of technology, smart home devices such as smart meters, smart sockets, and smart air conditioners are becoming increasingly popular. These devices interact with users through the Internet and can monitor and adjust household electricity consumption in real time. At the same time, virtual power plants (VPPs) improve energy efficiency and grid stability by integrating decentralized distributed energy resources. Virtual power plants provide auxiliary services to the grid, such as frequency regulation and voltage support, by optimizing the scheduling of distributed energy resources such as solar energy and wind energy.

[0003] However, the current control strategy for smart home devices fails to fully utilize the regulation potential of smart home devices. Therefore, how to improve energy efficiency, reduce users' electricity costs, and achieve flexible regulation of smart home devices is an urgent problem to be solved. Summary of the invention

[0004] The present invention provides a control method, device, equipment, medium and product for electrical equipment to improve energy efficiency, reduce electricity costs for users and achieve flexible adjustment of smart home equipment.

[0005] According to one aspect of the present invention, there is provided a method for controlling an electric device, comprising:

[0006] In response to a control request for an electric device, a target electric device is determined, and an objective function is constructed according to operating data of the target electric device, a market electricity price, and a unit electricity consumption time;

[0007] According to the operating data of the target power-consuming equipment and the objective function, the optimal power consumption of the target power-consuming equipment at the next moment is predicted;

[0008] According to the optimal power consumption and the average power consumption of each target power-consuming device, the target power consumption strategy for the target power-consuming device is determined to control the operation of each target power-consuming device.

[0009] According to another aspect of the present invention, there is provided a control device for an electric device, comprising:

[0010] A construction module, for determining a target power-consuming device in response to a control request for the power-consuming device, and constructing a target function according to the operation data of the target power-consuming device, the market electricity price, and the unit power consumption time;

[0011] A prediction module, used to predict the optimal power consumption of the target power-consuming device at the next moment according to the operating data of the target power-consuming device and the objective function;

[0012] The control module is used to determine the target power consumption strategy for the target power consumption equipment according to the optimal power consumption and the average power consumption of each target power consumption equipment, so as to control the operation of each target power consumption equipment.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the control method of the electric device described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the control method of an electric device described in any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the method for controlling an electric device according to any embodiment of the present invention is implemented.

[0019] The technical solution of the embodiment of the present invention determines the target power device in response to the control request for the power device, and constructs the objective function according to the operating data of the target power device, the market electricity price and the unit power consumption time; predicts the optimal power consumption of the target power device at the next moment according to the operating data of the target power device and the objective function; determines the target power consumption strategy for the target power device according to the optimal power consumption and the average power consumption of each target power device to control the operation of each target power device. By predicting the optimal power of the power device at the next moment, the virtual power plant can determine the most appropriate power consumption strategy, thereby improving energy utilization efficiency, reducing the user's electricity cost, and realizing flexible adjustment of smart home devices.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 is a flow chart of a method for controlling an electric device provided in Embodiment 1 of the present invention;

[0023] Figure 2 is a flow chart of a method for controlling an electric device provided in Embodiment 2 of the present invention;

[0024] Figure 3 This is a structural block diagram of a control device for an electric device provided in Embodiment 3 of the present invention;

[0025] Figure 4 It is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", "target", "candidate", "alternative", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0028] It should be noted that in the related art, the interaction between smart home devices and virtual power plants is insufficient, and the regulation potential of smart home devices has not been fully utilized. The scheduling system of smart home devices and virtual power plants has not been effectively integrated, resulting in low energy regulation efficiency. In addition, the lack of customized scheduling strategies for smart home devices makes it difficult to achieve efficient use of energy. Smart home device users are not very enthusiastic about participating in virtual power plant scheduling, and there is a lack of effective incentive mechanisms. These problems limit the role of smart home devices in virtual power plants and fail to give full play to their regulation potential. Based on the above problems, the present invention proposes a method for interactive scheduling between virtual power plants and smart home devices. By establishing interaction between smart home devices and virtual power plants, flexible adjustment of smart home devices and optimized scheduling of virtual power plants are achieved, thereby improving energy utilization efficiency, reducing users' electricity costs, and encouraging users to actively participate in energy regulation. The specific implementation method will be introduced in detail in subsequent embodiments.

[0029] Embodiment 1

[0030] Figure 1 is a flow chart of a control method for an electric device provided in the first embodiment of the present invention; this embodiment can be applied to a situation where a virtual power plant analyzes the operation status of a target electric device according to an objective function and determines an optimal control strategy. The method can be executed by a control device of the electric device, and the control device of the electric device can be implemented in the form of hardware and / or software. The control device of the electric device can be configured in an electronic device, such as a virtual power plant system, such as Figure 1 As shown, the control method of the electrical equipment includes:

[0031] S101 . In response to a control request for an electric device, a target electric device is determined, and an objective function is constructed according to operation data of the target electric device, a market electricity price, and a unit electricity consumption duration.

[0032] Among them, the control request refers to a request to control the smart home electrical equipment corresponding to the target user, the target electrical equipment refers to the smart home electrical equipment to be controlled by the target, and one target user corresponds to a group of target electrical equipment. The target electrical equipment can specifically be smart home equipment, such as smart meters, smart sockets, and smart air conditioners. The operating data may include the operating status and historical power consumption data of each target electrical equipment, and the operating status may specifically be an on state or an off state. The historical power consumption data may specifically be the power consumption of the target electrical equipment in the historical time period, or the power consumption of the target electrical equipment in the historical time period. The market electricity price may specifically be a residential tiered electricity price. The unit power consumption time may specifically be 1 hour, and the product of the power of the electrical equipment and the unit power consumption time is the power consumption of the electrical equipment. The objective function refers to an optimization function constructed based on a strategy of minimizing the power cost while ensuring normal power consumption of users.

[0033] Optionally, in response to a control request for an electrical device, the control request can be parsed to determine the target user specified by the control request, and matched in the virtual power plant system to determine all smart home electrical devices bound to the target user to obtain the target electrical device.

[0034] Optionally, the operating data of smart home devices can be collected in real time, including power, power consumption, device status, etc. Specifically, wireless communication technologies such as Wi-Fi and Bluetooth can be used to communicate with smart home devices to obtain device operating data in real time.

[0035] Optionally, an objective function is constructed based on the operating data of the target power-consuming equipment, the market electricity price and the unit power consumption time, including: constructing the constraint conditions of the objective function based on the operating status and historical power consumption data of each target power-consuming equipment in the operating data of the target power-consuming equipment, combined with the correlation between the historical power consumption data and the target power consumption and the preset equipment startup quantity threshold; constructing the objective function based on the target power consumption, the market electricity price and the unit power consumption time, combined with the constraint conditions of the objective function.

[0036] Among them, the preset device on number threshold refers to the minimum number of devices that are expected to remain on. The preset device on number threshold can be, for example, 1. The constraints of the objective function may include device constraints and power consumption constraints. The device constraint refers to the condition that the number of power-consuming devices turned on by the target user must at least reach the preset device on number threshold. The power consumption constraint refers to the condition that the power consumption of the target power-consuming device at the next predicted moment must be greater than the minimum power consumption in the historical time period. The historical time period refers to the time period corresponding to the target power-consuming device at the same time in the past five days.

[0037] Optionally, based on the operating status and historical power consumption data of each target power-consuming device in the operating data of the target power-consuming device, combined with the correlation between the historical power consumption data and the target power consumption and the preset device startup quantity threshold, the constraint conditions of the objective function are constructed, including: based on the operating status of each target power-consuming device in the operating data of the target power-consuming device and the preset device startup quantity threshold, the device constraint conditions of the objective function are constructed; based on the historical power consumption data of each target power-consuming device in the operating data of the target power-consuming device, combined with the correlation between the historical power consumption data and the target power consumption, the power consumption constraint conditions of the objective function are constructed.

[0038] Optionally, if the power consumption constraint condition refers to the condition that the power consumption of the target power-consuming equipment at the next predicted moment must be greater than the minimum power consumption in the historical time period, then correspondingly, the correlation between the historical power consumption data and the target power consumption can be: the product of the target power consumption and the unit power consumption duration is greater than the minimum value in the historical power consumption data, that is, the minimum power consumption in the historical time period.

[0039] Exemplarily, the constructed objective function and its corresponding equipment constraint condition and power consumption constraint condition can be expressed by the following formula:

[0040]

[0041] Among them, C refers to the unit power consumption time, and i refers to the number of target power-consuming devices. i (t) refers to the optimal power consumption of the target power-consuming equipment at the next moment, P(t) refers to the market electricity price, is the equipment constraint, is the power consumption constraint; S i (t) refers to the switch state of the target electrical equipment, S i The value of (t) is 0 or 1. U(t) refers to the minimum power consumption in the historical power consumption data in the historical time period.

[0042] S102: predicting the optimal power consumption of the target power-consuming device at the next moment according to the operating data of the target power-consuming device and the objective function.

[0043] Optionally, based on the operating data of the target power equipment and the objective function, the optimal power consumption of the target power equipment at the next moment is predicted, including: optimizing the objective function based on the operating status and power consumption data in the operating data of the target power equipment, and under the condition that the target power equipment meets the constraints corresponding to the objective function; determining the target power consumption under the optimal objective function condition as the optimal power consumption of the target power equipment at the next moment.

[0044] Optionally, based on the Lagrangian relaxation method, the objective function may be solved and optimized to obtain the optimal power consumption of the target electrical equipment at the next moment, provided that the target electrical equipment satisfies the constraints corresponding to the objective function.

[0045] Optionally, after predicting the optimal power consumption of the target power-consuming equipment at the next moment, it also includes: determining the user incentive value based on the optimal power value and the historical power value, combined with the unit power consumption time and the market electricity price; providing incentives to users based on the user incentive value to encourage users to participate in virtual power plant scheduling.

[0046] The historical power value may be an average value of the power used by the target electrical equipment in the historical time period. The user incentive value refers to the amount of reward given by the target to the user.

[0047] Optionally, the power difference between the optimal power value and the historical power value can be determined, and the product of the power difference, unit power consumption time and market electricity price can be determined as the user incentive value to provide incentives to users and encourage them to participate in virtual power plant scheduling, thereby determining users' power consumption habits, preferred power equipment, and power consumption needs.

[0048] It should be noted that by encouraging users to participate in virtual power plant scheduling, it can help save energy and help evaluate users' preferred electrical equipment and power consumption, so as to better determine the control strategy for the target electrical equipment.

[0049] S103: Determine a target power consumption strategy for the target power consumption equipment according to the optimal power consumption and the average power consumption of each target power consumption equipment, so as to control the operation of each target power consumption equipment.

[0050] The average power consumption refers to the average power consumption of each target power-consuming device in the historical time period. The optimal power consumption refers to the sum of the optimal power consumptions that the target power-consuming devices are expected to achieve together. The target power consumption strategy may include a control strategy for the operating status of each target power-consuming device, and may also include a configuration strategy for the operating time of each target power-consuming device.

[0051] Optionally, the operation of each power-consuming device may be controlled according to the operating status of each power-consuming device in the target power-consuming strategy.

[0052] Optionally, a target power consumption strategy for the target power equipment is determined based on the optimal power consumption and the average power consumption of each target power equipment, including: determining candidate power consumption strategies for the target power equipment, and determining candidate power consumption under each candidate power consumption strategy based on the average power consumption of each target power equipment; determining the optimal power consumption based on the optimal power consumption and unit power consumption duration, and determining the candidate power consumption strategy corresponding to the candidate power consumption when the candidate power consumption is equal to the optimal power consumption as the target power consumption strategy.

[0053] Among them, the candidate power usage strategy refers to the candidate strategy that characterizes the activation status of each target power consumption device. If the target power consumption devices are device 1 and device 2, there may be four candidate power usage strategies, specifically device 1 on and device 2 on, device 1 on and device 2 off, device 1 off and device 2 on, and device 1 off and device 2 off. The candidate power consumption refers to the sum of the power consumption of the target power consumption devices whose operating status is turned on under each candidate power consumption strategy. The optimal power consumption may be the product of the optimal power consumption and the unit power consumption duration. The target power consumption strategy is a candidate power consumption strategy whose sum of power consumption among the candidate power consumption strategies is the same as the optimal power consumption. The number of target power consumption strategies is at least one.

[0054] Optionally, if the number of target power usage strategies is at least two, the target power usage strategy that includes the most user-preferred power devices can be determined as the strategy for ultimately controlling the target power devices, based on the user's feedback on preferred power devices obtained after historical incentives for the users, so as to control the operation of each target power device.

[0055] The technical solution of the embodiment of the present invention determines the target power device in response to the control request for the power device, and constructs the objective function according to the operating data of the target power device, the market electricity price and the unit power consumption time; predicts the optimal power consumption of the target power device at the next moment according to the operating data of the target power device and the objective function; determines the target power consumption strategy for the target power device according to the optimal power consumption and the average power consumption of each target power device to control the operation of each target power device. By predicting the optimal power of the power device at the next moment, the virtual power plant can determine the most appropriate power consumption strategy, thereby improving energy utilization efficiency, reducing the user's electricity cost, and realizing flexible adjustment of smart home devices.

[0056] Embodiment 2

[0057] Figure 2 It is a flow chart of a control method for electrical equipment provided in the second embodiment of the present invention; based on the above embodiment, this embodiment provides a preferred solution for a virtual power plant to control equipment by predicting the optimal strategy through objective functions and operating data of electrical equipment.

[0058] Specifically, Figure 2 As shown, the method may include the following process:

[0059] S201 . In response to a control request for an electric device, determine a target electric device.

[0060] S202: construct device constraint conditions of the objective function according to the operating status of each target electrical device in the operating data of the target electrical device and a preset device startup quantity threshold.

[0061] S203: constructing power consumption constraint conditions of the objective function based on historical power consumption data of each target power consumption equipment in the operation data of the target power consumption equipment and combining the correlation between the historical power consumption data and the target power consumption.

[0062] S204: construct an objective function according to the target power consumption, the market electricity price and the unit electricity consumption time, combined with the constraint conditions of the objective function.

[0063] S205 . Optimize the objective function according to the operating status and power consumption data in the operating data of the target power-consuming device and when the target power-consuming device satisfies the constraint conditions corresponding to the objective function.

[0064] S206: Determine the target power consumption when the objective function is optimal, as the optimal power consumption of the target power-consuming device at the next moment.

[0065] S207: Determine candidate power usage strategies for target power-consuming devices, and determine candidate power consumption under each candidate power usage strategy based on the average power consumption of each target power-consuming device.

[0066] S208. Determine the optimal power consumption according to the optimal power consumption and the unit power consumption duration, and determine the candidate power consumption strategy corresponding to the candidate power consumption equal to the optimal power consumption as the target power consumption strategy to control the operation of each target power consumption device.

[0067] S209. Determine the user incentive value based on the optimal power value and the historical power value, combined with the unit electricity consumption time and the market electricity price, and provide incentives to the user based on the user incentive value to encourage the user to participate in the virtual power plant scheduling.

[0068] Embodiment 3

[0069] Figure 3 : is a structural block diagram of a control device for an electric device provided in the third embodiment of the present invention; this embodiment can be applicable to the situation where a virtual power plant analyzes the operating conditions of a target electric device according to an objective function and has determined an optimal control strategy. The control device for an electric device provided in the embodiment of the present invention can execute the control method for an electric device provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method; the control device for an electric device can be implemented in the form of hardware and / or software, and configured in an electronic device having a control function for an electric device, such as a virtual power plant system, such as Figure 3 As shown, the control device of the electrical equipment specifically includes:

[0070] The construction module 301 is used to determine the target power-consuming device in response to the control request for the power-consuming device, and to construct the target function according to the operation data of the target power-consuming device, the market electricity price and the unit power consumption time;

[0071] The prediction module 302 is used to predict the optimal power consumption of the target electrical equipment at the next moment according to the operation data of the target electrical equipment and the objective function;

[0072] The control module 303 is used to determine a target power consumption strategy for the target power consumption equipment according to the optimal power consumption and the average power consumption of each target power consumption equipment, so as to control the operation of each target power consumption equipment.

[0073] The technical solution of the embodiment of the present invention determines the target power device in response to the control request for the power device, and constructs the objective function according to the operating data of the target power device, the market electricity price and the unit power consumption time; predicts the optimal power consumption of the target power device at the next moment according to the operating data of the target power device and the objective function; determines the target power consumption strategy for the target power device according to the optimal power consumption and the average power consumption of each target power device to control the operation of each target power device. By predicting the optimal power of the power device at the next moment, the virtual power plant can determine the most appropriate power consumption strategy, thereby improving energy utilization efficiency, reducing the user's electricity cost, and realizing flexible adjustment of smart home devices.

[0074] Furthermore, the construction module 301 may include:

[0075] A condition construction unit, used to construct the constraint condition of the objective function according to the operation status and historical power consumption data of each target power-consuming device in the operation data of the target power-consuming device, combined with the correlation relationship between the historical power consumption data and the target power consumption and the preset device startup quantity threshold;

[0076] The function construction unit is used to construct the objective function according to the target power consumption, the market electricity price and the unit electricity consumption time, combined with the constraint conditions of the objective function.

[0077] Furthermore, the conditional construction unit is specifically used for:

[0078] According to the operating status of each target power-consuming device in the operating data of the target power-consuming device and the preset device startup quantity threshold, the device constraint condition of the objective function is constructed;

[0079] According to the historical power consumption data of each target power-consuming equipment in the operation data of the target power-consuming equipment, combined with the correlation between the historical power consumption data and the target power consumption, the power consumption constraint condition of the objective function is constructed.

[0080] Furthermore, the prediction module 302 is specifically used for:

[0081] According to the operation status and power consumption data in the operation data of the target power-consuming device, the target power-consuming device is optimized when the target power-consuming device satisfies the constraint conditions corresponding to the objective function;

[0082] The target power consumption under the optimal condition of the objective function is determined as the optimal power consumption of the target power-consuming equipment at the next moment.

[0083] Furthermore, the control module 303 is specifically used for:

[0084] Determine candidate power consumption strategies for target power-consuming devices, and determine candidate power consumption under each candidate power consumption strategy based on the average power consumption of each target power-consuming device;

[0085] The optimal power consumption is determined according to the optimal power consumption and the unit power consumption duration, and the candidate power consumption strategy corresponding to the candidate power consumption equal to the optimal power consumption is determined as the target power consumption strategy.

[0086] Furthermore, the above device is also used for:

[0087] Determine the user incentive value based on the optimal power value and historical power value, combined with the unit power consumption time and market electricity price;

[0088] Incentives are provided to users based on their incentive values ​​to encourage them to participate in virtual power plant scheduling.

[0089] Embodiment 4

[0090] Figure 4 It is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0091] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0092] 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, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0093] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a control method for an electrical device.

[0094] In some embodiments, the control method of the electric device may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the control method of the electric device described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the control method of the electric device in any other appropriate manner (e.g., by means of firmware).

[0095] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0096] Computer programs for implementing the methods 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, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0097] In the context of the present invention, a computer readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium may be a machine readable signal medium. A more specific example of a machine readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0098] To provide interaction with a user, the systems and techniques described herein may 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 the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0099] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0100] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0101] In one embodiment, the embodiment of the present invention further includes a computer program product, the computer program product includes a computer program, and the computer program implements the control method of the electric device of any embodiment of the present invention when executed by a processor.

[0102] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0103] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0104] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A control method for an electrical device, characterized in that: include: In response to a control request for an electric device, a target electric device is determined, and an objective function is constructed according to operating data of the target electric device, a market electricity price, and a unit electricity consumption time; According to the operating data of the target power-consuming equipment and the objective function, the optimal power consumption of the target power-consuming equipment at the next moment is predicted; According to the optimal power consumption and the average power consumption of each target power-consuming device, the target power consumption strategy for the target power-consuming device is determined to control the operation of each target power-consuming device.

2. The method according to claim 1, characterized in that According to the operating data of the target power-consuming equipment, the market electricity price and the unit power consumption time, the objective function is constructed, including: According to the operating status and historical power consumption data of each target power-consuming device in the operating data of the target power-consuming device, combined with the correlation between the historical power consumption data and the target power consumption and the preset device startup quantity threshold, the constraint conditions of the objective function are constructed; The objective function is constructed based on the target power consumption, market electricity price and unit electricity consumption time, combined with the constraints of the objective function.

3. The method according to claim 2, characterized in that According to the operating status and historical power consumption data of each target power-consuming device in the operating data of the target power-consuming device, combined with the correlation between the historical power consumption data and the target power consumption and the preset device startup quantity threshold, the constraint conditions of the objective function are constructed, including: According to the operating status of each target power-consuming device in the operating data of the target power-consuming device and the preset device startup quantity threshold, the device constraint condition of the objective function is constructed; According to the historical power consumption data of each target power-consuming equipment in the operation data of the target power-consuming equipment, combined with the correlation between the historical power consumption data and the target power consumption, the power consumption constraint condition of the objective function is constructed.

4. The method according to claim 1, characterized in that: According to the operating data of the target power-consuming equipment and the objective function, the optimal power consumption of the target power-consuming equipment at the next moment is predicted, including: According to the operation status and power consumption data in the operation data of the target power-consuming device, the target power-consuming device is optimized when the target power-consuming device satisfies the constraint conditions corresponding to the objective function; The target power consumption under the optimal condition of the objective function is determined as the optimal power consumption of the target power-consuming equipment at the next moment.

5. The method according to claim 1, characterized in that According to the optimal power consumption and the average power consumption of each target power-consuming device, the target power consumption strategy for the target power-consuming device is determined, including: Determine candidate power consumption strategies for target power-consuming devices, and determine candidate power consumption under each candidate power consumption strategy based on the average power consumption of each target power-consuming device; The optimal power consumption is determined according to the optimal power consumption and the unit power consumption duration, and the candidate power consumption strategy corresponding to the candidate power consumption equal to the optimal power consumption is determined as the target power consumption strategy.

6. The method according to claim 1, characterized in that After predicting the optimal power consumption of the target power-consuming equipment at the next moment, it also includes: Determine the user incentive value based on the optimal power value and historical power value, combined with the unit power consumption time and market electricity price; Incentives are provided to users based on their incentive values ​​to encourage them to participate in virtual power plant scheduling.

7. A control device for an electrical device, characterized in that: include: A construction module, for determining a target power-consuming device in response to a control request for the power-consuming device, and constructing a target function according to the operation data of the target power-consuming device, the market electricity price, and the unit power consumption time; A prediction module, used to predict the optimal power consumption of the target power-consuming device at the next moment according to the operating data of the target power-consuming device and the objective function; The control module is used to determine the target power consumption strategy for the target power consumption equipment according to the optimal power consumption and the average power consumption of each target power consumption equipment, so as to control the operation of each target power consumption equipment.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the control method of the electric device according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the control method of the electric device according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program implements the control method of the electric device according to any one of claims 1 to 6.

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