Multi-stage adaptive edge intelligent control method and device for new energy

Abstract

The application discloses a multi-stage adaptive edge intelligent control method and device for new energy. The method comprises the following steps: acquiring the regulation mode of a current power system; if the regulation mode of the current power system is a remote control mode, then performing resource regulation according to a first regulation coefficient, a second regulation coefficient, the response power of energy-type resources and the response power of power-type resources. Through the technical scheme, the power and frequency of the power grid can be actively supported.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of power technology, and in particular to a multi-level adaptive edge intelligent control method and device for new energy. Background Technology

[0002] With the construction of new power systems and the advancement of "dual-carbon" goals, a massive amount of new energy sources are being integrated into the power system. New energy power generation is characterized by randomness, intermittency, and volatility. The increased penetration rate of new energy sources after their large-scale integration into the new power system has led to increasingly severe power imbalances in the power grid. The randomness, volatility, and intermittency of new energy sources are increasingly impacting the safe and stable operation of the power grid, resulting in problems such as difficulty in controlling new energy output and weak support capacity of low-inertia systems. Summary of the Invention

[0003] This invention provides a multi-level adaptive edge intelligent control method and device for new energy sources, which solves the problems of difficulty in controlling the output of new energy sources and weak support capacity of low-inertia systems caused by the massive access of new energy sources to the power system.

[0004] According to one aspect of the present invention, a multi-level adaptive edge intelligent control method for new energy sources is provided, comprising:

[0005] Obtain the current power system regulation mode;

[0006] If the current power system regulation mode is remote control mode, then resource regulation is carried out based on the first regulation coefficient, the second regulation coefficient, the response power of energy resources, and the response power of power resources.

[0007] According to another aspect of the present invention, a multi-level adaptive edge intelligent control device for new energy sources is provided, the multi-level adaptive edge intelligent control device for new energy sources comprising:

[0008] The acquisition module is used to acquire the current power system regulation mode;

[0009] The control module is used to control resources based on the first control coefficient, the second control coefficient, the response power of energy resources, and the response power of power resources if the current power system control mode is remote control mode.

[0010] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0011] At least one processor; and

[0012] A memory communicatively connected to the at least one processor; wherein,

[0013] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to execute the multi-level adaptive edge intelligent control method for new energy as described in any embodiment of the present invention.

[0014] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the multi-level adaptive edge intelligent control method for new energy as described in any embodiment of the present invention.

[0015] This invention provides an embodiment of the power system that obtains the current power system's regulation mode. If the current power system's regulation mode is a remote control mode, resource regulation is performed based on the first regulation coefficient, the second regulation coefficient, the response power of energy resources, and the response power of power resources. This solves the problems of difficulty in controlling the output of new energy sources and weak support capabilities of low-inertia systems caused by the massive access of new energy sources to the power system, and can actively support the power and frequency of the power grid.

[0016] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a multi-level adaptive edge intelligent control method for new energy sources according to Embodiment 1 of the present invention;

[0019] Figure 2 This is a schematic diagram of a high-proportion new energy consumption and active support system according to Embodiment 1 of the present invention;

[0020] Figure 3 This is a schematic diagram of the structure of a multi-level adaptive edge intelligent control device for new energy in Embodiment 2 of the present invention;

[0021] Figure 4 This is a schematic diagram of the structure of an electronic device according to Embodiment 3 of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention 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 where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] It is understood that before using the technical solutions disclosed in the various embodiments of this disclosure, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this disclosure in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained.

[0025] Example 1

[0026] Figure 1 This is a flowchart of a multi-level adaptive edge intelligent control method for new energy sources according to Embodiment 1 of the present invention. This embodiment is applicable to resource regulation after new energy sources are connected to the power system. The method can be executed by the multi-level adaptive edge intelligent control device for new energy sources in this embodiment, which can be implemented in software and / or hardware, such as... Figure 1 As shown, the method specifically includes the following steps:

[0027] S110: Obtain the current power system regulation mode.

[0028] The power system's regulation mode can be either local or remote control.

[0029] Specifically, the current power system regulation mode can be obtained by monitoring the power system.

[0030] S120, if the current power system regulation mode is remote control mode, then resource regulation is performed based on the first regulation coefficient, the second regulation coefficient, the response power of energy resources, and the response power of power resources.

[0031] The first adjustment coefficient is the adjustment coefficient corresponding to historical energy-type resources in the established resource pool; the second adjustment coefficient is the adjustment coefficient corresponding to historical power-type resources in the established resource pool.

[0032] Among them, the response power of energy-type resources and the response power of power-type resources are the response power of energy-type resources and the response power of power-type resources of the current system collected.

[0033] Specifically, if the current power system regulation mode is remote control mode, the resource regulation method based on the first regulation coefficient, the second regulation coefficient, the response power of energy resources, and the response power of power resources can be as follows: If the current power system regulation mode is remote control mode, it means that the power system regulation coefficient is calculated by the power system's main station control center after coordinating global information, and the calculated regulation coefficient is distributed to each intelligent control device in the power system. The calculated regulation coefficient can first utilize the collected power resource response of the current power system, and then use the collected energy resource response of the current power system to carry out resource regulation.

[0034] Optionally, if the current power system regulation mode is remote control mode, then resource regulation is performed based on the first regulation coefficient, the second regulation coefficient, the response power of energy-type resources, and the response power of power-type resources, including:

[0035] If the current power system regulation mode is remote control mode, then the first regulation coefficient of each adjustable resource is determined based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource.

[0036] The first adjustment coefficient of each adjustable resource is sent to the intelligent control device corresponding to each adjustable resource.

[0037] Among them, the first regulating coefficient is the regulating coefficient of each adjustable resource calculated by the master station control center under the current remote control mode of the power system.

[0038] The adjustable resources can be distributed resources such as photovoltaics and wind power, or flexible loads such as steel mills and electroplating plants. The intelligent control devices corresponding to each adjustable resource are regulating devices that intelligently control each adjustable resource based on the regulating coefficient.

[0039] Specifically, if the current power system's regulation mode is remote control mode, the method for determining the first regulation coefficient of each adjustable resource based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource can be as follows: If the current power system's regulation mode is remote control mode, the calculation formula can be:

[0040]

[0041] in, For the j-th ZK i The regulating coefficient, ZK represents the intelligent control device, P set (t) represents the regulating system quantity calculated by the master control center under remote control mode, i.e., the first regulating system quantity, K. LOC =0 indicates remote control mode. P set (t) is calculated based on the first adjustment coefficient, the second adjustment coefficient, and each power type resource and each energy type resource according to the method of first responding with the power type resource and then continuously responding with the energy type resource.

[0042] Specifically, the method of sending the first adjustment coefficient of each adjustable resource to the corresponding intelligent control device can be as follows: calculate the first adjustment coefficient of each adjustable resource, and then send the calculated first adjustment coefficient to the corresponding intelligent control device. The intelligent control device then performs resource regulation based on the first adjustment coefficient.

[0043] Optionally, before determining the first regulation coefficient of each adjustable resource based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource, the method further includes:

[0044] Obtain historical on-site resource information, wherein the historical on-site resource information includes: historical distributed resource information and historical flexible load information;

[0045] The first adjustment coefficient and the second adjustment coefficient are determined based on the historical distributed resource information and the historical flexible load information.

[0046] Among them, historical distributed resource information can include resources such as photovoltaics and wind power, while historical flexible load information can include resources such as steel mills and electroplating plants.

[0047] Specifically, the methods for obtaining historical on-site resource information can be: synchronously sampling to obtain historical distributed resource information and historical flexible load information.

[0048] For example, a resource database model [LoadSource] could be built based on collected historical distributed resource information and historical flexible load information. Τ Where Load = [Load1Load2...Load] N] Τ This is a matrix containing N flexible load information from the resource repository; Source = [Source1Source2...Source...] M ] Τ This is a matrix containing information about M distributed resources in the resource repository. Load i =[precL i tresL i tdurL i powrL i enerL i ] Τ , for flexible load resource parameters; Source i =[precS i tresS i tdurS i powrS i enerS i ] Τ , where is the distributed resource parameter, prec is the response precision, tres is the response speed, tdur is the duration, powr is the response power, and ener is the responsive energy.

[0049] Specifically, the method for determining the first and second adjustment coefficients based on the historical distributed resource information and historical flexible load information can be as follows: based on the assessment and evaluation of the new energy access capacity and its impact on grid operation, quantify the response capacity and capacity of distributed resources and flexible loads, convert historical distributed resource information into historical energy-type resources, convert historical flexible load information into historical power-type resources, determine the first adjustment coefficient based on the historical energy-type resources, and determine the second adjustment coefficient based on the historical power-type resources.

[0050] Optionally, determining the first adjustment coefficient and the second adjustment coefficient based on the historical distributed resource information and historical flexible load information includes:

[0051] Historical distributed resource information is converted into historical energy-type resources, and the historical flexible load information is converted into historical power-type resources;

[0052] Determine the first adjustment coefficient corresponding to each historical energy type resource based on the historical energy type resources;

[0053] The second adjustment coefficient corresponding to each historical power type resource is determined based on the historical power type resources.

[0054] Specifically, the method of converting historical distributed resource information into historical energy-type resources and historical flexible load information into historical power-type resources can be as follows: based on the quantified response capabilities and capacity of distributed resources and flexible loads, historical distributed resource information is converted into historical energy-type resources, and historical flexible load information is converted into historical power-type resources.

[0055] Specifically, the method for determining the first adjustment coefficient corresponding to each historical energy type resource based on the historical energy type resources can be as follows: determine the adjustment coefficient corresponding to each energy type resource based on each energy type resource in the historical energy type resources.

[0056] Specifically, the method for determining the second adjustment coefficient corresponding to each historical power type resource based on the historical power type resources can be as follows: determine the adjustment coefficient corresponding to each power type resource based on each power type resource in the historical power type resources.

[0057] For example, a historical power-type resource could be: R′ pow1 、R′ pow2 ...R′ powN Historical energy resources can be: R e ′ ne1 R e ′ ne2 ...R e ′ neM [LoadSource] Τ Adjusted to:

[0058] [LoadSource] Τ =[R′ pow R e ′ ne ] Τ ;

[0059] Among them, R′ pow =[R′ pow1 R′ pow2 ...R′ powN ] Τ R e ′ ne =[R e ′ ne1 R e ′ ne2 ...R e ′ neM ] Τ According to R e ′ ne1 R e ′ ne2 ...R e ′ neM Determine the corresponding first adjustment coefficient I1...IM According to R′ pow1 、R′ pow2 ...R′ powN Determine the corresponding second adjustment coefficients k1...k N .

[0060] Optionally, the first regulation coefficient of each adjustable resource is determined based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource, including:

[0061] The first adjustment coefficient of each adjustable resource is determined based on the first adjustment coefficient corresponding to each historical energy type resource, the second adjustment coefficient corresponding to each historical power type resource, the response power of each energy type resource, and the response power of each power type resource.

[0062] Specifically, the method for determining the first regulation coefficient of each adjustable resource based on the first regulation coefficient corresponding to each historical energy type resource, the second regulation coefficient corresponding to each historical power type resource, the response power of each energy type resource, and the response power of each power type resource can be as follows: Based on the resource database established by historical energy type resources and historical power type resources, determine the first regulation coefficient corresponding to each historical energy type resource and the second regulation coefficient corresponding to each historical power type resource; obtain the current energy type resources and power type resources of the power system; and calculate the first regulation coefficient by the main station control center based on the first regulation coefficient, the second regulation coefficient, the current energy type resources of the power system, and the current power type resources of the power system, following the order of responding to power type resources first and then energy type resources.

[0063] For example, based on the allocation principle of the regulation system in remote control mode, power-type resources can be responded to first, followed by continuous response through energy-type resources. The calculation formula can be:

[0064]

[0065] Among them, R pow1 ...R powN For the various power-type resources in the current power system, R ene1 ...R eneM For the various energy resources in the current power system, I1...I M The first adjustment coefficient is k1...k N The second adjustment coefficient is t0, which is the time when the power-type resource response ends. This formula indicates that initially, the power is replenished by the power-type resource, and then the power is replenished by the energy-type resource.

[0066] Optionally, the sum of the response power of the energy-type resource and the response power of the power-type resource is less than the sum of the historical response power of the energy-type resource and the historical response power of the power-type resource.

[0067] It should be noted that the sum of the response power of energy-type resources and the response power of power-type resources is less than the sum of the historical response power of energy-type resources and the historical response power of power-type resources. This indicates that the sum of the response power of energy-type resources and the response power of power-type resources must be less than the sum of the response power of energy-type resources and the response power of power-type resources in the set resource pool.

[0068] For example, the sum of the response power of energy-type resources and the response power of power-type resources being less than the sum of the historical response power of energy-type resources and the historical response power of power-type resources can be expressed as:

[0069] k1·R pow1 +k2·R pow2 +...+k N ·R powN +I1·R ene1 +I2·R ene2 +...+I M ·R eneM <P sum ;

[0070] Among them, k1·R pow1 +k2·R pow2 +...+k N ·R powN +I1·R en1e +I2·R en2e +...+I M ·R ene It is the sum of the response power of energy-type resources and the response power of power-type resources, where:

[0071]

[0072] in, It is the sum of the response power of historical energy-type resources and the response power of historical power-type resources.

[0073] Optional, also includes:

[0074] If the current power system regulation mode is local mode, then the regulation coefficient of each adjustable resource is determined based on the power of the intelligent control device corresponding to each adjustable resource, the frequency of the intelligent control device corresponding to each adjustable resource, the frequency change rate of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the power of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the frequency of the intelligent control device corresponding to each adjustable resource, and the regulation coefficient of the frequency change rate of the intelligent control device corresponding to each adjustable resource.

[0075] In a specific example Figure 2This is a schematic diagram of a high-proportion renewable energy consumption and active support system according to Embodiment 1 of the present invention, as shown below. Figure 2 As shown, considering the real-time complementary coordination of distributed resources and flexible loads, a device with distributed coordination functions is developed. This includes the intelligent control device PLUSI for substations and renewable energy power plants, the intelligent control device PLUSII for microgrids, the intelligent control device Lite for lightweight applications, and the intelligent control device Ultra, a primary and secondary integrated type installed at the grid connection point to receive and execute control commands. This solves the problem of real-time coordination of multiple resources in the process of active power and frequency support of distributed resources, and can perform edge intelligent control of resources across multiple time scales, spatial scales, and voltage levels in the power system. The multiple time scales can include: steady-state, dynamic, transient, power-type, and energy-type; the multiple spatial scales can include: main and distribution coordination of different distribution areas, different feeders, and even different substations; the multiple voltage levels can include: deployment in 220 / 110kV substations and renewable energy power plants, 35 / 10kV distribution lines, and 380 / 220kV consumer lines, etc. Utilizing the aforementioned high-proportion renewable energy consumption and active support system, the regulation coefficient is calculated in both local and remote control modes, and then distributed to each intelligent control device to achieve real-time closed-loop coordinated control across multiple time scales and dimensions. When the power system regulation mode is remote control mode:

[0076]

[0077] When the power system regulation mode is local mode:

[0078]

[0079] Among them, P i j For the j-th ZK i power, f i j For the j-th ZK i frequency, For the j-th ZK i The rate of change of frequency, a (j) b is the power adjustment coefficient. (j) c is the frequency adjustment coefficient. (j) This is the adjustment coefficient for the rate of change of frequency. For the j-th ZK i The regulating factor, K LOC =1 indicates local mode. In both local and remote control modes, the regulation coefficient of each adjustable resource is calculated and sent to the intelligent control device corresponding to each adjustable resource for resource regulation.

[0080] The technical solution of this embodiment obtains the current power system regulation mode; if the current power system regulation mode is remote control mode, then resource regulation is performed according to the first regulation coefficient, the second regulation coefficient, the response power of energy resources and the response power of power resources. This solves the problem that the output of new energy is difficult to control and the support capability of low inertia system is weak due to the massive access of new energy to the power system, and can actively support the power and frequency of the power grid.

[0081] Example 2

[0082] Figure 3 This is a schematic diagram of a multi-level adaptive edge intelligent control device for new energy sources according to Embodiment 2 of the present invention. This embodiment is applicable to resource regulation after new energy sources are connected to the power system. The device can be implemented using software and / or hardware, and can be integrated into any device that provides edge intelligent control functionality for the power system, such as… Figure 3 As shown, the multi-level adaptive edge intelligent control device for new energy specifically includes: an acquisition module 210 and a control module 220.

[0083] The acquisition module 210 is used to acquire the current power system regulation mode;

[0084] The control module 220 is used to control resources based on the first control coefficient, the second control coefficient, the response power of energy resources, and the response power of power resources if the current power system control mode is remote control mode.

[0085] Optionally, the control module is specifically used for:

[0086] If the current power system regulation mode is remote control mode, then the first regulation coefficient of each adjustable resource is determined based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource.

[0087] The first adjustment coefficient of each adjustable resource is sent to the intelligent control device corresponding to each adjustable resource.

[0088] Optionally, the control module is further used for:

[0089] Obtain historical on-site resource information, wherein the historical on-site resource information includes: historical distributed resource information and historical flexible load information;

[0090] The first adjustment coefficient and the second adjustment coefficient are determined based on the historical distributed resource information and the historical flexible load information.

[0091] Optionally, the control module is further used for:

[0092] Historical distributed resource information is converted into historical energy-type resources, and the historical flexible load information is converted into historical power-type resources;

[0093] Determine the first adjustment coefficient corresponding to each historical energy type resource based on the historical energy type resources;

[0094] The second adjustment coefficient corresponding to each historical power type resource is determined based on the historical power type resources.

[0095] Optionally, the control module is specifically used for:

[0096] The first adjustment coefficient of each adjustable resource is determined based on the first adjustment coefficient corresponding to each historical energy type resource, the second adjustment coefficient corresponding to each historical power type resource, the response power of each energy type resource, and the response power of each power type resource.

[0097] Optionally, the sum of the response power of the energy-type resource and the response power of the power-type resource is less than the sum of the historical response power of the energy-type resource and the historical response power of the power-type resource.

[0098] Optional, also includes:

[0099] The determination module is used to determine the regulation coefficient of each adjustable resource if the current power system regulation mode is local mode, based on the power of the intelligent control device corresponding to each adjustable resource, the frequency of the intelligent control device corresponding to each adjustable resource, the frequency change rate of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the power of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the frequency of the intelligent control device corresponding to each adjustable resource, and the regulation coefficient of the frequency change rate of the intelligent control device corresponding to each adjustable resource.

[0100] The above-described products can perform the methods provided in any embodiment of the present invention, and have the corresponding functional modules and beneficial effects for performing the methods.

[0101] The technical solution of this embodiment obtains the current power system regulation mode; if the current power system regulation mode is remote control mode, then resource regulation is performed according to the first regulation coefficient, the second regulation coefficient, the response power of energy resources and the response power of power resources. This solves the problem that the output of new energy is difficult to control and the support capability of low inertia system is weak due to the massive access of new energy to the power system, and can actively support the power and frequency of the power grid.

[0102] Example 3

[0103] Figure 4This is a schematic diagram of an electronic device according to Embodiment 3 of the present invention. The electronic device 10 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 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, 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 illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0104] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0105] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0106] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as multi-level adaptive edge intelligent control methods for new energy sources.

[0107] In some embodiments, the multi-level adaptive edge intelligent control method for new energy sources can be implemented as a computer program tangibly contained 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 on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the multi-level adaptive edge intelligent control method for new energy sources described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to execute the multi-level adaptive edge intelligent control method for new energy sources by any other suitable means (e.g., by means of firmware).

[0108] Various embodiments 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), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0109] Computer programs used to implement 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, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0110] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0111] To provide 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 pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide 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 sound input, voice input, or tactile input).

[0112] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0113] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0114] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0115] The specific embodiments described above do not constitute a limitation on the scope of protection of this 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 principles of this invention should be included within the scope of protection of this invention.

Claims

1. A multi-level adaptive edge intelligent control method for new energy sources, characterized in that, include: Obtain the current power system regulation mode; If the current power system regulation mode is remote control mode, then resource regulation is carried out based on the first regulation coefficient, the second regulation coefficient, the response power of energy resources, and the response power of power resources. If the current power system regulation mode is local mode, then the regulation coefficient of each adjustable resource is determined based on the power of the intelligent control device corresponding to each adjustable resource, the frequency of the intelligent control device corresponding to each adjustable resource, the frequency change rate of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the power of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the frequency of the intelligent control device corresponding to each adjustable resource, and the regulation coefficient of the frequency change rate of the intelligent control device corresponding to each adjustable resource. Wherein, the first adjustment coefficient is the adjustment coefficient corresponding to historical energy-type resources in the established resource pool, and the second adjustment coefficient is the adjustment coefficient corresponding to historical power-type resources in the established resource pool; If the current power system regulation mode is remote control mode, then resource regulation is performed based on the first regulation coefficient, the second regulation coefficient, the response power of energy resources, and the response power of power resources, including: If the current power system regulation mode is remote control mode, then the first regulation coefficient of each adjustable resource is determined based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource. The first adjustment coefficient of each adjustable resource is sent to the intelligent control device corresponding to each adjustable resource; Specifically, the first adjustment coefficient for determining each adjustable resource satisfies the following formula: ； in, For the first indivual The regulating factor, Indicates intelligent control device. This refers to the regulating system quantity calculated by the main control center under remote control mode, i.e., the first regulating system quantity. Remote control mode; It is calculated based on the first adjustment coefficient, the second adjustment coefficient, and each power-type resource and each energy-type resource according to the method of first responding with power-type resources and then continuously responding with energy-type resources.

2. The method according to claim 1, characterized in that, Before determining the first regulation coefficient of each adjustable resource based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource, the process also includes: Obtain historical on-site resource information, wherein the historical on-site resource information includes: historical distributed resource information and historical flexible load information; The first adjustment coefficient and the second adjustment coefficient are determined based on the historical distributed resource information and the historical flexible load information.

3. The method according to claim 2, characterized in that, The first adjustment coefficient and the second adjustment coefficient are determined based on the historical distributed resource information and historical flexible load information, including: Historical distributed resource information is converted into historical energy-type resources, and the historical flexible load information is converted into historical power-type resources; Determine the first adjustment coefficient corresponding to each historical energy type resource based on the historical energy type resources; The second adjustment coefficient corresponding to each historical power type resource is determined based on the historical power type resources.

4. The method according to claim 3, characterized in that, The first regulation coefficient of each adjustable resource is determined based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource, including: The first adjustment coefficient of each adjustable resource is determined based on the first adjustment coefficient corresponding to each historical energy type resource, the second adjustment coefficient corresponding to each historical power type resource, the response power of each energy type resource, and the response power of each power type resource.

5. The method according to claim 4, characterized in that, The sum of the response power of the energy-type resource and the response power of the power-type resource is less than the sum of the historical response power of the energy-type resource and the historical response power of the power-type resource.

6. A multi-level adaptive edge intelligent control device for new energy, characterized in that, include: The acquisition module is used to acquire the current power system regulation mode; The control module is used to control resources based on the first control coefficient, the second control coefficient, the response power of energy resources, and the response power of power resources if the current power system control mode is remote control mode. The determination module is used to determine the regulation coefficient of each adjustable resource if the current power system regulation mode is local mode, based on the power of the intelligent control device corresponding to each adjustable resource, the frequency of the intelligent control device corresponding to each adjustable resource, the frequency change rate of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the power of the intelligent control device corresponding to each adjustable resource, the regulation coefficient of the frequency of the intelligent control device corresponding to each adjustable resource, and the regulation coefficient of the frequency change rate of the intelligent control device corresponding to each adjustable resource. Wherein, the first adjustment coefficient is the adjustment coefficient corresponding to historical energy-type resources in the established resource pool, and the second adjustment coefficient is the adjustment coefficient corresponding to historical power-type resources in the established resource pool; The control module is specifically used for: If the current power system regulation mode is remote control mode, then the first regulation coefficient of each adjustable resource is determined based on the first regulation coefficient, the second regulation coefficient, the response power of each energy type resource, and the response power of each power type resource. The first adjustment coefficient of each adjustable resource is sent to the intelligent control device corresponding to each adjustable resource; Specifically, the first adjustment coefficient for determining each adjustable resource satisfies the following formula: ； in, For the first indivual The regulating factor, Indicates intelligent control device. This refers to the regulating system quantity calculated by the main control center under remote control mode, i.e., the first regulating system quantity. Remote control mode; It is calculated based on the first adjustment coefficient, the second adjustment coefficient, and each power-type resource and each energy-type resource according to the method of first responding with power-type resources and then continuously responding with energy-type resources.

7. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to execute the multi-level adaptive edge intelligent control method for new energy as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that are used to cause a processor to execute the multi-level adaptive edge intelligent control method for new energy as described in any one of claims 1-5.

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