A method and system for adjusting accommodation equipment based on a power access model

Abstract

The present invention discloses a method and system for adjusting consumption equipment based on a power access model. The method includes: collecting first correlation data of power sources accessed by a target power system and second correlation data of consumption equipment accessed; inputting the first correlation data into a pre-constructed power access model to obtain target power output data, and inputting the second correlation data into a pre-constructed energy storage determination model to obtain target equipment energy storage data; adjusting the combination mode among a plurality of the consumption equipment connected to the power source based on the target power output data and the target equipment energy storage data. The adjustment of the consumption equipment based on the power access model is realized, and the adjustment efficiency of the consumption equipment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid equipment adjustment, and particularly to an adjustment method and system for consumption equipment based on a power access model. Background Art

[0002] The access of multi-category power sources is an important feature of a new power system.

[0003] The more types of new energy power sources accessed by multi-category power sources, the greater the output fluctuation of the new power system. To adapt to the existing output fluctuation and improve the utilization rate of the output, it is very necessary to study the adjustment method for consumption equipment under the background of multi-category power source access. However, the existing adjustment methods for consumption equipment cannot be applied to the adjustment of consumption equipment with multi-category power source access, and the applicable range is relatively narrow. Summary of the Invention

[0004] The present invention provides an adjustment method and system for consumption equipment based on a power access model to solve the problem of the relatively narrow applicable range of the adjustment method for consumption equipment.

[0005] According to one aspect of the present invention, there is provided an adjustment method for consumption equipment based on a power access model, the method comprising:

[0006] Collecting first correlation data of power sources accessed by a target power system and second correlation data of consumption equipment accessed;

[0007] Inputting the first correlation data into a pre-constructed power access model to obtain target power output data, and inputting the second correlation data into a pre-constructed energy storage determination model to obtain target equipment energy storage data;

[0008] Adjusting the combination mode among a plurality of the consumption equipment connected to the power source based on the target power output data and the target equipment energy storage data.

[0009] According to another aspect of the present invention, there is provided an adjustment system for consumption equipment based on a power access model, the system comprising:

[0010] A data collection module, configured to collect first correlation data of power sources accessed by a target power system and second correlation data of consumption equipment accessed;

[0011] A model calculation module, configured to input the first correlation data into a pre-constructed power access model to obtain target power output data, and input the second correlation data into a pre-constructed energy storage determination model to obtain target equipment energy storage data;

[0012] The accommodation device adjustment module is used to adjust the combination mode among a plurality of the accommodation devices connected to the power supply based on the target power supply output data and the target device energy storage data.

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

[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 accommodation device adjustment method based on the power access model according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for implementing the accommodation device adjustment method based on the power access model according to any embodiment of the present invention when executed by a processor.

[0018] The technical solution of the embodiment of the present invention collects the first correlation data of the power supply connected to the target power system and the second correlation data of the accommodation device connected thereto; establishes the corresponding relationship between the first correlation data and the second correlation data; then, inputs the first correlation data into the pre-constructed power access model to obtain the target power supply output data, and inputs the second correlation data into the pre-constructed energy storage determination model to obtain the target device energy storage data; accurately obtains the target power supply output data on the power supply side and the target device energy storage data measured by the device; finally, adjusts the combination mode among a plurality of the accommodation devices connected to the power supply based on the target power supply output data and the target device energy storage data, solves the problem of low efficiency of accommodation device adjustment, and achieves the beneficial effect of improving the efficiency of accommodation device adjustment.

[0019] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0021] Figure 1 is a flowchart of a method for adjusting a consumption device based on a power access model provided in Embodiment 1 of the present invention;

[0022] Figure 2 is a flowchart of a method for adjusting a consumption device based on a power access model provided in Embodiment 2 of the present invention;

[0023] Figure 3 is a schematic structural diagram of a system for adjusting a consumption device based on a power access model provided in Embodiment 3 of the present invention;

[0024] Figure 4 is a schematic structural diagram of an electronic device for implementing the method for adjusting a consumption device based on a power access model in the embodiment of the present invention. Detailed implementation manners

[0025] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0026] It should be noted that the terms "first", "second", 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 such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order different from those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0027] Embodiment 1

[0028] Figure 1Embodiment 1 of the present invention provides a flowchart of a method for adjusting consumption equipment based on a power access model. This embodiment is applicable to the situation of combined adjustment of consumption equipment under multiple types of power sources. This method can be executed by a system for adjusting consumption equipment based on a power access model, and this system for adjusting consumption equipment based on a power access model can be implemented in the form of hardware and / or software, and this system for adjusting consumption equipment based on a power access model can be configured in an electronic device. As Figure 1 shown, this method includes:

[0029] S110. Collect the first associated data of the power sources accessed by the target power system and the second associated data of the consumption equipment accessed.

[0030] Among them, the first associated data can be understood as power output data of the power sources. The second associated data can be understood as equipment energy storage data.

[0031] Specifically, the power output data of multiple types of power sources accessed by the target power system can be measured and recorded in real time through measuring devices (such as watt-hour meters, power meters, etc.) installed inside the power generation facilities; the equipment energy storage data of the accessed consumption equipment can be measured and recorded in real time through monitoring devices installed inside the energy storage system.

[0032] Optionally, the consumption equipment includes at least one of an energy storage device, a reactive power compensation device, a new energy transmission phase shifter, and a distributed energy storage integrated machine.

[0033] S120. Input the first associated data into a pre-constructed power access model to obtain target power output data, and input the second associated data into a pre-constructed energy storage determination model to obtain target equipment energy storage data.

[0034] Among them, the target power output data can be understood as the electric energy data output by the power generation equipment. The power access model can be understood as a multi-type power access model, accessing multiple types of power sources. The target equipment energy storage data can be understood as the electric energy data stored in the consumption equipment.

[0035] Specifically, input the first associated data into a pre-constructed power access model, and based on the output result of the power access model, determine the target power output data; and input the second associated data into a pre-constructed energy storage determination model, and determine the target equipment energy storage data based on the output result of the energy storage determination model.

[0036] Optionally, the target power output data includes power output fluctuation data and power output peak data; the power access model is constructed by the following formula:

[0037]

[0038] Among them, is the power output fluctuation data, is the number of new energy power sources among the currently connected power sources, is the total number of currently connected power sources, is the power source number, is "numbered", is the instantaneous output prediction value of the power source numbered represents the sum of the instantaneous output prediction values of all power sources, represents the operation of taking the maximum value of the sum of the instantaneous output prediction values of all power sources in a single adjustment cycle of the absorption equipment, is the power output peak data.

[0039] Specifically, the power output fluctuation data is used to measure the output fluctuation of the current power access model. The smaller the value, the more it needs to adjust the absorption equipment to adapt to its output.

[0040] Optionally, the target device energy storage data includes the device instantaneous energy storage index and the current device energy storage data; the energy storage determination model is constructed by the following formula:

[0041]

[0042] Among them, is the device instantaneous energy storage index of the absorption equipment, is the number of connected absorption equipment, is the total energy storage value data of all current absorption equipment, is the energy storage value of each absorption equipment.

[0043] Specifically, the device instantaneous energy storage index of the absorption equipment is used to measure the energy storage situation under the current absorption equipment combination. The larger the value, the stronger the absorption capacity of the current absorption equipment combination; conversely, the smaller the value, the weaker the absorption capacity of the current absorption equipment combination.

[0044] S130. Adjust the combination method among multiple absorption equipment connected to the power source based on the target power source output data and the target device energy storage data.

[0045] Specifically, match the target power source output data and the target device energy storage data. When the target power source output data and the target device energy storage data do not match, adjust the combination method among multiple absorption equipment connected to the power source. Make the target device energy storage data of the adjusted absorption equipment combination match the target power source output data.

[0046] In an embodiment of the present invention, based on the output data of the target power supply and the energy storage data of the target device, the combination mode among multiple consumption devices connected to the power supply can be scientifically and reasonably adjusted, so as to achieve efficient utilization of energy and stable operation of the system.

[0047] The technical solution of the embodiment of the present invention includes: collecting first associated data of the power supply connected to the target power system and second associated data of the consumption devices connected thereto; establishing a corresponding relationship between the first associated data and the second associated data; then, inputting the first associated data into a pre-constructed power supply access model to obtain target power supply output data, and inputting the second associated data into a pre-constructed energy storage determination model to obtain target device energy storage data; accurately obtaining the target power supply output data on the power supply side and the target device energy storage data measured by the device; finally, adjusting the combination mode among multiple consumption devices connected to the power supply based on the target power supply output data and the target device energy storage data, solving the problem of low adjustment efficiency of consumption devices, and achieving the beneficial effect of improving the adjustment efficiency of consumption devices.

[0048] Embodiment 2

[0049] Figure 2 The flowchart of a method for adjusting consumption devices based on a power supply access model provided in Embodiment 2 of the present invention. This embodiment is a further optimization of how to adjust the combination mode among multiple consumption devices connected to the power supply based on the target power supply output data and the target device energy storage data. As Figure 2 shown, the method includes:

[0050] S210. Collect first associated data of the power supply connected to the target power system and second associated data of the consumption devices connected thereto.

[0051] S220. Input the first associated data into a pre-constructed power supply access model to obtain target power supply output data, and input the second associated data into a pre-constructed energy storage determination model to obtain target device energy storage data.

[0052] S230. Obtain the historical combination of consumption devices within a preset time threshold and the corresponding historical power supply output data of the historical combination of consumption devices.

[0053] Specifically, obtain the historical combination of consumption devices adjusted manually within a preset time domain and the corresponding historical power supply output data of the historical combination of consumption devices.

[0054] S240. Adjust the combination mode among multiple consumption devices connected to the power supply based on the historical consumption device combination, the historical power output data, the target power output data, the target device energy storage data, and preset constraints.

[0055] Specifically, the historical consumption device combination and the historical power output data can be referred to, and the combination mode among multiple consumption devices connected to the power supply is adjusted under the condition of meeting the preset constraints, so that the target device energy storage data of the adjusted consumption device combination matches the target power output data.

[0056] Optionally, the adjustment of the combination mode among multiple consumption devices connected to the power supply based on the historical consumption device combination, the historical power output data, the target power output data, the target device energy storage data, and preset constraints includes: when the target power output data does not match the target device energy storage data, determining the reference power output data that matches the target power output data from the historical power output data; adjusting the combination mode among multiple consumption devices connected to the power supply based on the historical consumption device combination corresponding to the reference power output data, so that the device energy storage data of the adjusted consumption device combination and the target power output data meet the preset constraints.

[0057] Specifically, when the target power output data does not match the target device energy storage data, determining the historical power output data that matches the target power output data as the reference power output data, and determining the historical consumption device combination corresponding to the reference power output data. Adjusting the combination mode among multiple consumption devices connected to the power supply based on the historical consumption device combination to obtain the target consumption device combination, and making the device energy storage data of the adjusted consumption device combination and the target power output data meet the preset constraints.

[0058] In the embodiment of the present invention, when the target power output data does not match the target device energy storage data, the historical power output data is used as a reference to adjust the consumption device combination to meet the preset constraints and optimize the overall performance of the power system.

[0059] Optionally, the preset constraints include at least one of the following conditions:

[0060] The total energy storage value data of all current consumption devices is not less than the power output peak data;

[0061] The difference between the total energy storage value data of all current consumption devices and the power output peak data tends to zero;

[0062] The instantaneous energy storage index of the current consumption device and the power output fluctuation data satisfy a target linear relationship, and the target linear relationship is obtained by fitting the historical output fluctuation of the power supply and the historical instantaneous energy storage index of the consumption device based on the time series.

[0063] Optionally, the total energy storage value data of all current consumption devices is not less than the power output peak data, which is expressed by the formula as follows:

[0064]

[0065] Wherein, is the total energy storage value data of all current consumption devices, is the power output peak data.

[0066] Optionally, the difference between the total energy storage value data of all current consumption devices and the power output peak data tends to zero, which is expressed by the formula as follows:

[0067]

[0068] Optionally, the target linear relationship is expressed by the following formula:

[0069]

[0070] Wherein, is the instantaneous energy storage index of the consumption device, is the adjustment parameter of the preset power output fluctuation data, is the power output fluctuation data, is the correction parameter of the preset power output fluctuation data.

[0071] Optionally, a visualization platform for the consumption device combination can be constructed. The platform is embedded with a power access model and an energy storage determination model, and is used to simulate the process of power transmission from the power supply side to the consumption device. The construction process specifically includes:

[0072] Using visualization technology to construct three-dimensional models of the power supply side and the consumption device; displaying the power transmission status between the power supply side and the consumption device with a flowing image effect, and displaying the energy storage utilization of the consumption device in different display modes (such as color); the data displayed on the power supply side comes from the real-time data collected and uploaded by the power supply side sensors;

[0073] Constructing models of each consumption device respectively, and its general formula is:

[0074]

[0075] Wherein, is the type of the consumption device.

[0076] Specifically, the energy storage determination models are increased or decreased in the consumption equipment combination visualization platform in the form of images, and the utilization of the consumption equipment is calculated based on the energy storage determination models, and the above is displayed in different colors.

[0077] The technical solution of the embodiment of the present invention provides more scientific and reasonable reference for the current power output adjustment by obtaining the historical consumption equipment combination within a preset time threshold and the corresponding historical power output data. Based on the historical consumption equipment combination, the historical power output data, the target power output data, the target equipment energy storage data and the preset constraint conditions, the combination mode among multiple consumption equipment connected to the power supply is adjusted. The consumption equipment combination is effectively adjusted and optimized to ensure the stable and efficient operation of the power system.

[0078] As an optional example of Embodiment 1 of the present invention, the consumption equipment adjustment method based on the power access model of this embodiment specifically includes the following steps:

[0079] Step S1: Construct a power access model.

[0080] Specifically, this power access model can be understood as the power supply side in the power grid, and it is a multi-category power access model.

[0081] Step S2: Construct an energy storage determination model.

[0082] Specifically, this model can be understood as the energy storage determination model of the consumption equipment, which is the load side in the power grid. The consumption equipment includes energy storage equipment, reactive power compensation equipment, new energy power transmission phase shifters, distributed energy storage integrated machines and other equipment that helps the power grid better accept and utilize new energy power sources;

[0083] Step S3: Based on the power access model and the energy storage determination model, perform consumption equipment adjustment adapted to the power supply side.

[0084] Specifically, the above-mentioned consumption equipment can be matched with the power supply side.

[0085] Among them, constructing the power access model specifically includes:

[0086] This model is restricted in a consumption equipment adjustment cycle, specifically:

[0087]

[0088] Among them, is the power output fluctuation data, The number of power sources belonging to new energy power sources among the currently connected power sources, The total number of the currently connected power sources, The number of the power source, is The instantaneous output prediction value of the power source numbered indicating the summation of the instantaneous output prediction values of all power sources, indicating the maximum value operation on the sum of the instantaneous output prediction values of all power sources in a single adjustment period of the consumption equipment, is the power output peak data.

[0089] Among them, constructing an energy storage determination model specifically includes:

[0090] This model is restricted in an adjustment period of a consumption equipment, specifically:

[0091] Construct the energy storage determination model through the following formula:

[0092]

[0093] Among them, is the equipment instantaneous energy storage index of the consumption equipment, is the number of connected consumption equipment, is the total energy storage value data of all current consumption equipment, is the energy storage value of each consumption equipment.

[0094] Among them, performing consumption equipment adjustment adaptive to the power source side based on the power source access model and the energy storage determination model specifically includes:

[0095] Preset the first constraint condition, specifically:

[0096] The total energy storage value data of all current consumption equipment is not less than the power output peak data;

[0097] Optionally, the total energy storage value data of all current consumption equipment is not less than the power output peak data, which is expressed by the formula as follows:

[0098]

[0099] Among them, is the total energy storage value data of all current consumption equipment, is the power output peak data.

[0100] Preset the second constraint condition, specifically:

[0101] A1: Obtain the historical output fluctuation situation;

[0102] A2: Obtain the historical instantaneous energy storage index under the historical artificial consumption equipment combination;

[0103] A3: Fit the historical output fluctuation of the power supply and the historical instantaneous energy storage index of the consumption equipment based on time series to obtain the target linear relationship.

[0104] Optionally, the target linear relationship is expressed by the following formula:

[0105]

[0106] where, is the equipment instantaneous energy storage index of the consumption equipment, is the adjustment parameter of the preset power supply output fluctuation data, is the power supply output fluctuation data, is the correction parameter of the preset power supply output fluctuation data.

[0107] The preset second constraint condition ensures the effectiveness of the consumption equipment combination, enabling it to adapt to the output fluctuations of the power supply side;

[0108] Furthermore, to improve the utilization rate of the consumption equipment and extend the service life of the consumption equipment, a preset third constraint condition is added, specifically:

[0109] The difference between the total energy storage value data of all current consumption equipment and the power supply output peak data tends to zero, which is expressed by the formula as follows:

[0110]

[0111] Through the first constraint condition, the second constraint condition and the third constraint condition, the adaptive adjustment of the consumption equipment based on the power supply access model and the energy storage determination model is realized.

[0112] Optionally, a visualization platform for the consumption equipment combination can be constructed. This platform embeds the power supply access model and the energy storage determination model, and is used to simulate the process of power transmission from the power supply side to the consumption equipment. Its construction process specifically includes:

[0113] Use visualization technology to construct three-dimensional models of the power supply side and the consumption equipment; display the power transmission status between the power supply side and the consumption equipment with a flowing image effect, and display the energy storage utilization of the consumption equipment in different display methods (such as color); the data displayed on the power supply side comes from the real-time data collected and uploaded by the power supply side sensors;

[0114] Construct individual consumption equipment models respectively, and its general formula is:

[0115]

[0116] where, For the types of accommodation equipment.

[0117] Specifically, each energy storage determination model is increased or decreased in the accommodation equipment combination visualization platform in the form of an image, and the utilization situation of the accommodation equipment is calculated based on the energy storage determination model, and the above is displayed in different colors.

[0118] The technical solution of the embodiment of the present invention realizes the effective calculation of the power supply side output through the full-category power supply access model, realizes the effective calculation of the energy storage value of the accommodation equipment through the accommodation equipment adjustment model, and finally realizes the adjustment of the accommodation equipment based on the full-category power supply access model through the adaptive adjustment based on the full-category power supply access model and the accommodation equipment adjustment model. The visualization operation of the accommodation equipment adjustment is also realized through the constructed accommodation equipment combination platform.

[0119] Embodiment III

[0120] Figure 3 It is a schematic structural diagram of an accommodation equipment adjustment system based on a power supply access model provided by Embodiment III of the present invention. As Figure 3 shown, the device includes: a data acquisition module 310, a model calculation module 320, and an accommodation equipment adjustment module 330.

[0121] Among them, the data acquisition module 310 is used to acquire the first associated data of the power supply connected to the target power system and the second associated data of the accommodation equipment connected; the model calculation module 320 is used to input the first associated data into the pre-constructed power supply access model to obtain the target power supply output data, and input the second associated data into the pre-constructed energy storage determination model to obtain the target equipment energy storage data; the accommodation equipment adjustment module 330 is used to adjust the combination mode between multiple accommodation equipment connected to the power supply based on the target power supply output data and the target equipment energy storage data.

[0122] The technical solution of the embodiment of the present invention acquires the first associated data of the power supply connected to the target power system and the second associated data of the accommodation equipment connected; establishes the corresponding relationship between the first associated data and the second associated data; then, inputs the first associated data into the pre-constructed power supply access model to obtain the target power supply output data, and inputs the second associated data into the pre-constructed energy storage determination model to obtain the target equipment energy storage data; accurately obtains the target power supply output data on the power supply side and the target equipment energy storage data measured by the equipment; finally, adjusts the combination mode between multiple accommodation equipment connected to the power supply based on the target power supply output data and the target equipment energy storage data, solves the problem of low efficiency of accommodation equipment adjustment, and achieves the beneficial effect of improving the efficiency of accommodation equipment adjustment.

[0123] Optionally, the target power supply output data includes power supply output fluctuation data and power supply output peak data; correspondingly, the power supply access model is constructed by the following formula:

[0124]

[0125] Wherein, is the power supply output fluctuation data, is the number of power supplies belonging to new energy power supplies among the currently connected power supplies, is the total number of the currently connected power supplies, is the power supply number, is for the number of the instantaneous output prediction value of the power supply numbered represents the sum of the instantaneous output prediction values of all power supplies, represents taking the maximum value operation on the sum of the instantaneous output prediction values of all power supplies in a single adjustment cycle of the consumption device, is the power supply output peak data.

[0126] Optionally, the target device energy storage data includes device instantaneous energy storage index and current device energy storage data; correspondingly, the energy storage determination model is constructed by the following formula:

[0127]

[0128] Wherein, is the device instantaneous energy storage index of the consumption device, is the number of connected consumption devices, is the total energy storage value data of all current consumption devices, is the energy storage value of each consumption device.

[0129] Optionally, the consumption device adjustment module includes:

[0130] A historical data acquisition unit, configured to acquire a historical consumption device combination within a preset time threshold and historical power supply output data corresponding to the historical consumption device combination;

[0131] A consumption device adjustment unit, configured to adjust the combination mode among multiple consumption devices connected to the power supply based on the historical consumption device combination, the historical power supply output data, the target power supply output data, the target device energy storage data, and preset constraint conditions.

[0132] Optionally, the consumption device adjustment unit includes;

[0133] A reference data determination subunit, configured to determine, when the target power output data does not match the target device energy storage data, reference power output data that matches the target power output data from the historical power output data;

[0134] A consumption device adjustment subunit, configured to adjust the combination mode among multiple consumption devices connected to the power supply based on the historical consumption device combination corresponding to the reference power output data, so that the device energy storage data of the adjusted consumption device combination and the target power output data meet a preset constraint condition.

[0135] Optionally, the preset constraint condition includes at least one of the following conditions:

[0136] The total energy storage value data of all current consumption devices is not less than the power output peak data;

[0137] The difference between the total energy storage value data of all current consumption devices and the power output peak data tends to zero;

[0138] The device instantaneous energy storage index of the current consumption device and the power output fluctuation data satisfy a target linear relationship, and the target linear relationship is obtained by fitting the historical output fluctuation condition of the power supply and the historical instantaneous energy storage index of the consumption device based on a time series.

[0139] Optionally, the target linear relationship is represented by the following formula:

[0140]

[0141] Wherein, is the device instantaneous energy storage index of the consumption device, is an adjustment parameter of the preset power output fluctuation data, is the power output fluctuation data, is a correction parameter of the preset power output fluctuation data.

[0142] Optionally, the consumption device includes at least one of an energy storage device, a reactive power compensation device, a new energy power transmission phase shifter, and a distributed energy storage integrated machine.

[0143] The consumption device adjustment system based on the power access model provided by the embodiments of the present invention can execute the consumption device adjustment method based on the power access model provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0144] Embodiment 4

[0145] Figure 4The structural schematic diagram of the electronic device 10 that can be used to implement the embodiments 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 processors, 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 claimed herein.

[0146] As Figure 4 shown, 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, etc. The memory stores a computer program executable by the at least one processor. 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 into 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. The input / output (I / O) interface 15 is also connected to the bus 14.

[0147] Multiple 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 magnetic disk, an optical disc, 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.

[0148] The processor 11 can be various general-purpose and / or special-purpose 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 suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method of adjusting the consumption device based on the power access model.

[0149] In some embodiments, the method of adjusting the accommodating device based on the power access model can 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 can 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 the RAM 13 and executed by the processor 11, one or more steps of the method of adjusting the accommodating device based on the power access model described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the method of adjusting the accommodating device based on the power access model in any other suitable manner (e.g., by means of firmware).

[0150] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems on a chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments 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 dedicated or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0151] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a dedicated computer, or other programmable data processing device, such that when the computer programs are executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0152] In the context of the present invention, a computer-readable storage medium can 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. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0153] To provide for interaction with a user, the systems and techniques described herein 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 the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the 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 input, speech input, or tactile input).

[0154] The systems and techniques described herein can 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 having a graphical user interface or a web browser through which the user can interact with an implementation 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 can 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), and the Internet.

[0155] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is created by computer programs running on respective 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 a cloud host, which is a host product in the cloud computing service system and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0156] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0157] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for adjusting accommodation equipment based on a power access model, characterized in that Including: Collecting first associated data of a power source accessed by a target power system and second associated data of a consumption device accessed; Inputting the first associated data into a pre-constructed power source access model to obtain target power source output data, and inputting the second associated data into a pre-constructed energy storage determination model to obtain target device energy storage data; Obtaining a historical consumption device combination within a preset time threshold and historical power source output data corresponding to the historical consumption device combination, and adjusting the combination mode among a plurality of the consumption devices connected to the power source based on the historical consumption device combination, the historical power source output data, the target power source output data, the target device energy storage data, and preset constraint conditions, including: When the target power source output data and the target device energy storage data do not match, determining reference power source output data that matches the target power source output data from the historical power source output data; Adjusting the combination mode among a plurality of the consumption devices connected to the power source based on the historical consumption device combination corresponding to the reference power source output data, so that the device energy storage data of the adjusted consumption device combination and the target power source output data meet the preset constraint conditions; The target power source output data includes power source output fluctuation data and power source output peak data; the power source access model is constructed by the following formula: ； Wherein, is the power output fluctuation data, is the number of power sources belonging to new energy power sources among the currently connected power sources, is the total number of the currently connected power sources, is the power source number, is the instantaneous output prediction value of the power source numbered represents the sum of the instantaneous output prediction values of all power sources, represents taking the maximum value operation on the sum of the instantaneous output prediction values of all power sources in a single adjustment cycle of the accommodation device, is the power output peak data;​ The target device energy storage data includes device instantaneous energy storage indicators and current device energy storage data; the energy storage determination model is constructed by the following formula: ； Among them, is the instantaneous energy storage index of the accommodation device, is the number of accommodation devices connected, is the total energy storage value data of all current accommodation devices, is the energy storage value of each accommodation device.

2. The method according to claim 1, characterized in that, The preset constraint conditions include at least one of the following conditions: The total energy storage value data of all current consumption devices is not less than the power source output peak data; The difference between the total energy storage value data of all current consumption devices and the power source output peak data tends to zero; The device instantaneous energy storage indicator of the current consumption device and the power source output fluctuation data satisfy a target linear relationship, and the target linear relationship is obtained by fitting the historical output fluctuation condition of the power source and the historical instantaneous energy storage indicator of the consumption device based on a time series.

3. The method according to claim 2, wherein The target linear relationship is represented by the following formula: ； wherein, is the instantaneous energy storage index of the consumption device, is the adjustment parameter of the preset power output fluctuation data, is the power output fluctuation data, is the correction parameter of the preset power output fluctuation data.

4. The method according to claim 1, characterized in that The consumption device includes at least one of an energy storage device, a reactive power compensation device, a new energy power transmission phase shifter, and a distributed energy storage integrated machine.

5. A consumption device adjustment system based on a power access model, characterized in that, Including: A data collection module for collecting first associated data of a power source accessed by a target power system and second associated data of a consumption device accessed; A model calculation module for inputting the first associated data into a pre-constructed power source access model to obtain target power source output data, and inputting the second associated data into a pre-constructed energy storage determination model to obtain target device energy storage data; A consumption device adjustment module for obtaining a historical consumption device combination within a preset time threshold and historical power source output data corresponding to the historical consumption device combination, and adjusting the combination mode among a plurality of the consumption devices connected to the power source based on the historical consumption device combination, the historical power source output data, the target power source output data, the target device energy storage data, and preset constraint conditions; The accommodation device adjustment module includes: an accommodation device adjustment unit; The accommodation device adjustment unit includes: a reference data determination subunit, configured to determine, when the target power output data does not match the target device energy storage data, reference power output data that matches the target power output data from the historical power output data; an accommodation device adjustment subunit, configured to adjust the combination mode among a plurality of accommodation devices connected to the power supply based on the historical accommodation device combination corresponding to the reference power output data, so that the device energy storage data of the adjusted accommodation device combination and the target power output data meet a preset constraint condition; The target power output data includes power output fluctuation data and power output peak data; correspondingly, the power access model is constructed by the following formula: ； Wherein, is the power output fluctuation data, is the number of power sources belonging to new energy power sources among the currently connected power sources, is the total number of the currently connected power sources, is the power source number, is for the power source numbered is the instantaneous output prediction value of the power source, represents the sum of the instantaneous output prediction values of all power sources, represents the operation of taking the maximum value of the sum of the instantaneous output prediction values of all power sources in a single adjustment period of the absorption device, is the power output peak data; The target device energy storage data includes device instantaneous energy storage indicators and current device energy storage data; correspondingly, the energy storage determination model is constructed by the following formula: ； Among them, is the instantaneous energy storage index of the consumption equipment, is the number of connected consumption equipment, is the total energy storage value data of all current consumption equipment, is the energy storage value of each consumption equipment.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to implement the accommodation device adjustment method based on the power access model according to any one of claims 1-4 when executed.

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