AGC command response method and device based on hybrid energy storage system

Abstract

The present disclosure relates to the field of power system automation technology, and proposes a method and device for responding to an AGC instruction based on a hybrid energy storage system. The method includes: obtaining an AGC instruction issued by a power grid dispatching system, decomposing the AGC instruction into multiple sub-instructions, wherein the AGC instruction carries the expected total power; sending each sub-instruction in sequence, and controlling the supercapacitor lithium battery hybrid energy storage system to respond to each sub-instruction based on the energy storage capacity and set capacity of the supercapacitor, and the set ratio of the sub-instruction; calculating the actual total power output by the supercapacitor lithium battery hybrid energy storage system when all sub-instructions are completed in response; and determining whether the supercapacitor lithium battery hybrid energy storage system has responded to and completed the AGC instruction based on the actual total power and the expected total power. According to the method disclosed in the present disclosure, the capacity requirements for the supercapacitor configured in the hybrid energy storage system can be reduced, and the AGC instruction can be responded to quickly.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power system automation, and in particular to an AGC instruction response method and device based on a hybrid energy storage system. Background Art

[0002] With advances in production technology, supercapacitors are now ready for widespread application in terms of both price and performance. Supercapacitors feature fast charge and discharge speeds, long cycle life, strong high-current discharge capabilities, high energy conversion efficiency, excellent ultra-low temperature characteristics, and are clean and environmentally friendly. Their raw material composition, production, use, storage, and disassembly processes are pollution-free. In particular, they boast high power density, equivalent to 5 to 10 times that of lithium batteries.

[0003] The characteristics of supercapacitors can effectively fill the gap between traditional capacitors and batteries, especially their fast charging and discharging speeds and long cycle life, which are very suitable for responding to the AGC (Automatic Generation Control) instructions of the generator set. However, the energy density of supercapacitors is relatively low, and they need to be combined with lithium batteries to form a hybrid energy storage system to assist the generator set in responding to AGC instructions, synergistically leveraging the respective advantages of supercapacitors and lithium batteries.

[0004] However, the control method for a hybrid supercapacitor and lithium battery energy storage system needs to take into account the characteristics of both supercapacitors and lithium batteries, ensuring a rapid response to AGC commands while minimizing overshoot and transients. Furthermore, the control method needs to take into account the lifespan characteristics of lithium batteries, allowing the supercapacitor to share more of the task of rapidly responding to commands, thereby reducing the discharge rate requirements for the lithium battery. Current AGC command response methods need to be improved in terms of reducing the capacity requirements of the supercapacitors configured in hybrid energy storage systems, ensuring a rapid response to AGC commands, and balancing the lifespan characteristics of lithium batteries. Summary of the Invention

[0005] The present disclosure aims to address, at least to some extent, one of the technical problems in the related art. To this end, the present disclosure provides a method and apparatus for responding to AGC commands based on a hybrid energy storage system, the primary purpose of which is to reduce the capacity requirements of the supercapacitors configured in the hybrid energy storage system and ensure rapid response to AGC commands.

[0006] According to a first embodiment of the present disclosure, a method for responding to an AGC instruction based on a hybrid energy storage system is provided, comprising:

[0007] Obtaining an AGC instruction issued by a power grid dispatching system, and decomposing the AGC instruction into a plurality of sub-instructions, wherein the AGC instruction carries the expected total power;

[0008] Sending each sub-command in sequence, and controlling the supercapacitor lithium battery hybrid energy storage system to respond to each sub-command based on the energy storage capacity and set capacity of the supercapacitor and the set ratio of the sub-command;

[0009] Calculating the actual total power output by the supercapacitor lithium battery hybrid energy storage system when responding to and completing all sub-instructions;

[0010] Based on the actual total power and the expected total power, it is determined whether the supercapacitor lithium battery hybrid energy storage system responds to and completes an AGC instruction.

[0011] In one embodiment of the present disclosure, the sequential sending of each sub-instruction, and the control of the supercapacitor lithium battery hybrid energy storage system to respond to each sub-instruction based on the energy storage capacity and set capacity of the supercapacitor, and the set ratio of the sub-instruction, include: selecting a sub-instruction as a target sub-instruction in sequence, and sending the target sub-instruction to the supercapacitor lithium battery hybrid energy storage system so that the supercapacitor energy storage controller and the lithium battery energy storage controller respond to the target sub-instruction at the same time; in the process of simultaneously responding to the target sub-instruction, determining whether the energy storage capacity of the supercapacitor is less than or equal to the set capacity, and if so, controlling the supercapacitor energy storage controller to stop responding; after the supercapacitor energy storage controller stops responding, determining whether the lithium battery energy storage controller responds to the set ratio of the target sub-instruction, and if so, charging the supercapacitor until charging is completed, so as to complete the response of the supercapacitor lithium battery hybrid energy storage system to the target sub-instruction.

[0012] In one embodiment of the present disclosure, the determining whether the supercapacitor lithium battery hybrid energy storage system responds to and completes the AGC instruction based on the actual total power and the expected total power includes: judging whether the actual total power is less than the expected total power, and if so, calculating the difference between the expected total power and the actual total power, and generating a fine-tuning instruction based on the difference, wherein the fine-tuning instruction carries a fine-tuning power, and the fine-tuning power is the difference; sending the fine-tuning instruction so that the lithium battery and / or generator set responds to the fine-tuning instruction, thereby responding to and completing the AGC instruction.

[0013] In one embodiment of the present disclosure, decomposing the AGC instruction into multiple sub-instructions includes: decomposing the AGC instruction into multiple sub-instructions on an even basis, wherein the expected power carried by each sub-instruction is equal, and the expected total power is equal to the sum of the expected powers carried by all sub-instructions.

[0014] In one embodiment of the present disclosure, the expected power carried by each sub-command is less than or equal to half of the rated power of the supercapacitor.

[0015] In one embodiment of the present disclosure, the set capacity ranges from 20% to 30% of the rated capacity of the supercapacitor, and the set ratio ranges from 63.2% to 66.7%.

[0016] In one embodiment of the present disclosure, the rated power of the lithium battery is a preset multiple of the rated power of the supercapacitor, and the discharge rate of the supercapacitor is a preset multiple of the discharge rate of the lithium battery.

[0017] According to a second aspect of the present disclosure, an AGC command response device based on a hybrid energy storage system is also provided, including:

[0018] a decomposition module, configured to obtain an AGC instruction issued by a power grid dispatching system and decompose the AGC instruction into a plurality of sub-instructions, wherein the AGC instruction carries the expected total power;

[0019] A control module, configured to sequentially send each sub-command, and control the supercapacitor lithium battery hybrid energy storage system to respond to each sub-command based on the energy storage capacity and set capacity of the supercapacitor and the set ratio of the sub-command;

[0020] A calculation module is used to calculate the actual total power output by the supercapacitor lithium battery hybrid energy storage system when responding to and completing all sub-instructions;

[0021] The judgment module is used to determine whether the supercapacitor lithium battery hybrid energy storage system responds to and completes the AGC instruction based on the actual total power and the expected total power.

[0022] In one embodiment of the present disclosure, the control module is specifically configured to: sequentially select a sub-instruction as a target sub-instruction, and send the target sub-instruction to the supercapacitor lithium battery hybrid energy storage system so that the supercapacitor energy storage controller and the lithium battery energy storage controller respond to the target sub-instruction simultaneously; in the process of simultaneously responding to the target sub-instruction, determine whether the energy storage capacity of the supercapacitor is less than or equal to the set capacity, and if so, control the supercapacitor energy storage controller to stop responding; after the supercapacitor energy storage controller stops responding, determine whether the lithium battery energy storage controller responds to the set proportion of the target sub-instruction, and if so, charge the supercapacitor until charging is completed, so as to complete the supercapacitor lithium battery hybrid energy storage system's response to the target sub-instruction; the judgment module is specifically configured to: determine whether the actual total power is less than the expected total power, and if so, calculate the difference between the expected total power and the actual total power, and generate a fine-tuning instruction, the fine-tuning instruction carrying the fine-tuning power, and the fine-tuning power being the difference, and use the lithium battery and / or generator set to respond to the fine-tuning instruction, thereby responding to and completing the AGC instruction.

[0023] According to an embodiment of the third aspect of the present disclosure, an electronic device is also provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the AGC instruction response method based on the hybrid energy storage system proposed in the embodiment of the first aspect of the present disclosure.

[0024] In one or more embodiments of the present disclosure, an AGC instruction issued by a power grid dispatching system is obtained, and the AGC instruction is decomposed into multiple sub-instructions, wherein the AGC instruction carries the expected total power; each sub-instruction is sent in sequence, and the supercapacitor lithium battery hybrid energy storage system is controlled to respond to each sub-instruction based on the energy storage capacity and set capacity of the supercapacitor and the set ratio of the sub-instruction; the actual total power output by the supercapacitor lithium battery hybrid energy storage system when all sub-instructions are completed in response is calculated; based on the actual total power and the expected total power, it is determined whether the supercapacitor lithium battery hybrid energy storage system responds to and completes the AGC instruction. In this case, the AGC instruction is decomposed into several small sub-instructions, and the fast discharge capability of the supercapacitor is utilized multiple times, which reduces the capacity requirements of the supercapacitor configured in the hybrid energy storage system and ensures a fast response to the AGC instruction.

[0025] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A schematic diagram illustrating a flow chart of an AGC instruction response method based on a hybrid energy storage system provided by an embodiment of the present disclosure is shown;

[0028] Figure 2 A schematic diagram showing a process of the supercapacitor lithium battery hybrid energy storage system provided by an embodiment of the present disclosure responding to each sub-command;

[0029] Figure 3 A block diagram of an AGC command response device based on a hybrid energy storage system provided by an embodiment of the present disclosure is shown;

[0030] Figure 4 4 is a block diagram of an electronic device used to implement the AGC command response method based on a hybrid energy storage system according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0032] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and features of different embodiments or examples, unless they are mutually inconsistent.

[0033] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. It should also be understood that the term "and / or" used in the present disclosure refers to and includes any or all possible combinations of one or more associated listed items.

[0034] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0035] The present disclosure provides an AGC instruction response method and device based on a hybrid energy storage system. The AGC instruction response method and device based on a hybrid energy storage system is a multi-pulse AGC instruction response method and device based on a supercapacitor lithium battery hybrid energy storage system. The AGC instruction response method and device based on a hybrid energy storage system provided by the present disclosure can be referred to as an AGC instruction response method and device. The AGC instruction response method and device are suitable for a supercapacitor lithium battery hybrid energy storage system that assists a generator set in responding to an AGC instruction. The AGC instruction response method and device based on a hybrid energy storage system provided by the present disclosure are mainly intended to reduce the capacity requirements for the supercapacitor configured in the hybrid energy storage system and ensure a rapid response to the AGC instruction. The AGC instruction is, for example, a frequency modulation instruction.

[0036] In a first embodiment, Figure 1 FIG. 1 is a flow chart showing a method for responding to an AGC instruction based on a hybrid energy storage system according to an embodiment of the present disclosure. Figure 1 As shown, the AGC instruction response method based on the hybrid energy storage system includes:

[0037] S101, obtaining an AGC instruction issued by a power grid dispatching system, and decomposing the AGC instruction into multiple sub-instructions, wherein the AGC instruction carries the expected total power.

[0038] In step S101, the AGC instruction is decomposed into multiple sub-instructions, each of which carries a corresponding expected power. The expected total power is equal to the sum of the expected powers carried by all sub-instructions. The sub-instructions can also be called pulse instructions. In this case, by decomposing the AGC instruction into multiple small pulse instructions, the capacity requirements of the supercapacitors configured in the hybrid energy storage system are reduced, and the cost of the hybrid energy storage system is also reduced.

[0039] In step S101, the number of sub-instructions can be represented by the symbol n, where n is a non-zero natural number. The expected power carried by each sub-instruction can be represented by P1, P2, ..., Pn, where P1 is the expected power carried by the first sub-instruction, P2 is the expected power carried by the second sub-instruction, and Pn is the expected power carried by the nth sub-instruction. The expected total power carried by the AGC instruction can be represented by Pagc, Pagc = P1 + P2 + ... + Pn.

[0040] In this embodiment, the expected power carried by each sub-instruction in step S101 is less than or equal to half of the rated power of the supercapacitor.

[0041] In step S101 , in order to ensure that the expected power carried by each sub-command is less than or equal to half of the rated power of the supercapacitor, the number n of sub-commands may be automatically adjusted according to the size of the expected total power Pagc.

[0042] In some embodiments, when decomposing the AGC instruction, the decomposition method may be equal or non-equal. For example, the AGC instruction may be evenly divided, that is, the AGC instruction is evenly decomposed into multiple sub-instructions. In this case, the expected power carried by each sub-instruction is equal, that is, P1=P2=...=Pn.

[0043] S102, sending each sub-instruction in sequence, and controlling the supercapacitor lithium battery hybrid energy storage system to respond to each sub-instruction based on the energy storage capacity and set capacity of the supercapacitor and the set ratio of the sub-instruction.

[0044] In this embodiment, the rated power of the lithium battery in the supercapacitor-lithium battery hybrid energy storage system used to respond to each sub-command in step S102 is a preset multiple of the rated power of the supercapacitor, and the discharge rate of the supercapacitor is a preset multiple of the discharge rate of the lithium battery. The preset multiple can be represented by the symbol M, so the rated power of the lithium battery: the rated power of the supercapacitor = M:1. The discharge rate of the supercapacitor: the discharge rate of the lithium battery = M:1.

[0045] In some embodiments, the discharge rate of the supercapacitor is MC, and the discharge rate of the lithium battery is 1C.

[0046] In step S102, Figure 2 The following is a flow chart showing the process of the supercapacitor lithium battery hybrid energy storage system responding to each sub-command provided by the embodiment of the present disclosure. Figure 1As shown, each sub-instruction is sent in sequence, and the supercapacitor lithium battery hybrid energy storage system is controlled to respond to each sub-instruction based on the energy storage capacity and set capacity of the supercapacitor, and the set ratio of the sub-instruction (that is, the set ratio of the expected power of the sub-instruction), specifically including: selecting a sub-instruction as a target sub-instruction in sequence, and sending the target sub-instruction to the supercapacitor lithium battery hybrid energy storage system so that the supercapacitor energy storage controller and the lithium battery energy storage controller respond to the target sub-instruction at the same time (step S1021); in the process of responding to the target sub-instruction at the same time, it is determined whether the energy storage capacity of the supercapacitor is less than or equal to the set capacity, and if so, the supercapacitor energy storage controller is controlled to stop responding (step S1022); after the supercapacitor energy storage controller stops responding, it is determined whether the lithium battery energy storage controller responds to the set ratio of the target sub-instruction (that is, the set ratio of the expected power of the target sub-instruction), and if so, the supercapacitor is charged until the charging is completed, so as to complete the response of the supercapacitor lithium battery hybrid energy storage system to the target sub-instruction (step S1023). In this case, by responding to multiple sub-commands, the entire AGC command response process can reuse the supercapacitor's rapid response capability, improving supercapacitor utilization efficiency. Compared to traditional control methods, by repeatedly utilizing the supercapacitor's rapid discharge capability (i.e., rapid response capability) during a single response process, only a smaller proportion of supercapacitors is required to meet the majority of frequency modulation commands, reducing the cost of the hybrid energy storage system.

[0047] In this embodiment, the expected power carried by the target sub-instruction in step S1021 can be represented by the symbol Pi, where i=1, 2, ..., n.

[0048] In step S102, the lithium battery energy storage controller maintains a moderate discharge rate of the lithium battery while responding to each sub-command.

[0049] In this embodiment, in step S102, the set capacity can be in the range of 20% to 30% of the rated capacity of the supercapacitor. The set capacity is, for example, 25% of the rated capacity of the supercapacitor. The set ratio can be in the range of 63.2% to 66.7%. The set ratio is, for example, 63.2%. In this case, since the lithium battery energy storage controller generally adopts PID (Proportion Integration Differentiation) control, the response portion below 63.2% can ensure a faster response of the lithium battery, thereby better ensuring the discharge accuracy and response speed.

[0050] S103, calculating the actual total power output by the supercapacitor lithium battery hybrid energy storage system when responding to and completing all sub-commands.

[0051] S104: Based on the actual total power and the expected total power, determine whether the supercapacitor lithium battery hybrid energy storage system responds to and completes the AGC instruction.

[0052] In this embodiment, in step S104, based on the actual total power and the expected total power, it is determined whether the supercapacitor lithium battery hybrid energy storage system responds to and completes the AGC instruction, including: judging whether the actual total power is less than the expected total power, and if so, calculating the difference between the expected total power and the actual total power, and generating a fine-tuning instruction based on the difference, wherein the fine-tuning instruction carries the fine-tuning power, and the fine-tuning power is the difference; sending the fine-tuning instruction to enable the lithium battery and / or the generator set to respond to the fine-tuning instruction, thereby responding to and completing the AGC instruction. In this case, since the supercapacitor is discharged in a short time, the short-term power can reach 2.5MW, but as the discharge time increases, the discharge power of the supercapacitor will decrease. Therefore, when responding to the AGC instruction, the lithium battery and the generator may also need to increase the discharge and power generation power to make up for the decreased power of the supercapacitor, thereby completing the response to the AGC instruction.

[0053] Taking a supercapacitor-lithium battery hybrid energy storage system used to assist generator sets in responding to AGC commands in a power plant as an example, the rated capacity of the lithium battery configured in the hybrid energy storage system is 15MW, and the rated capacity of the supercapacitor is 5MW. If Pagc = 10MW, n = 4, the set capacity is 25% of the rated capacity of the supercapacitor, the set ratio is 63.2%, the preset multiple M is 3, the discharge rate of the supercapacitor is 3C, and the discharge rate of the lithium battery is 1C, then the AGC command response method based on the hybrid energy storage system includes:

[0054] Obtain the AGC instruction issued by the power grid dispatching system and decompose it into four sub-instructions. The AGC instruction carries the expected total power of 10MW, where P1 = P2 = P3 = P4 = 2.5MW.

[0055] First, the first sub-command is selected as the target sub-command, and the first sub-command carrying the expected power of 2.5MW is sent to the supercapacitor lithium battery hybrid energy storage system, so that the supercapacitor energy storage controller and the lithium battery energy storage controller respond to the target sub-command at the same time. The supercapacitor energy storage controller and the lithium battery energy storage controller respond to the target sub-command at the same time means that the supercapacitor instantaneously responds to the first sub-command at a discharge rate of 3C and emits 2.5MW of power. At the same time, the lithium battery follows and responds to the first sub-command at a discharge rate of 1C.

[0056] In the process of simultaneously responding to the target sub-instruction, it is determined whether the energy storage capacity of the supercapacitor is less than or equal to 25% of the rated capacity of the supercapacitor (i.e., 1.25MW). If so, the supercapacitor energy storage controller is controlled to stop responding. After the supercapacitor energy storage controller stops responding, it is determined whether the lithium battery energy storage controller responds to 63.2% of the expected power of the target sub-instruction (i.e., whether the power emitted by the lithium battery rises to 1.58MW). If so, the supercapacitor is charged until charging is completed (i.e., the energy storage capacity of the supercapacitor is restored to the rated capacity), so as to complete the response of the supercapacitor lithium battery hybrid energy storage system to the first sub-instruction.

[0057] Then, the second sub-command is selected as the target sub-command, and the second sub-command is sent to the supercapacitor lithium battery hybrid energy storage system. Similar to the response process of the first sub-command, after the second sub-command completes the response, the third and fourth sub-commands are selected as the target sub-commands in turn. After the fourth sub-command completes the response, the supercapacitor lithium battery hybrid energy storage system responds to all sub-commands.

[0058] Then calculate the actual total power output by the supercapacitor lithium battery hybrid energy storage system when it responds to and completes all sub-instructions, and determine whether the actual total power is less than the expected total power Pagc. If so, calculate the difference between the expected total power Pagc and the actual total power, and generate a fine-tuning instruction based on the difference, wherein the fine-tuning instruction carries the fine-tuning power, and the fine-tuning power is the difference; send the fine-tuning instruction to make the lithium battery and / or generator set respond to the fine-tuning instruction. At this time, the power jointly emitted by the supercapacitor lithium battery hybrid energy storage system and the generator set is 10MW, completing the response to the AGC instruction.

[0059] In other embodiments, the AGC instruction response method based on the hybrid energy storage system of the embodiment of the present disclosure is also applicable to a bidirectional response AGC instruction, which is an AGC instruction to increase power or decrease power.

[0060] In the AGC instruction response method based on the hybrid energy storage system of the embodiment of the present disclosure, the AGC instruction issued by the power grid dispatching system is obtained, and the AGC instruction is decomposed into multiple sub-instructions, wherein the AGC instruction carries the expected total power; each sub-instruction is sent in sequence, and the supercapacitor lithium battery hybrid energy storage system is controlled to respond to each sub-instruction based on the energy storage capacity and set capacity of the supercapacitor and the set ratio of the sub-instruction; the actual total power output by the supercapacitor lithium battery hybrid energy storage system when all sub-instructions are responded to is calculated; based on the actual total power and the expected total power, it is determined whether the supercapacitor lithium battery hybrid energy storage system responds to the AGC instruction. In this case, the AGC instruction is decomposed into several small sub-instructions, and the supercapacitor energy storage controller and the lithium battery energy storage controller in the supercapacitor lithium battery hybrid energy storage system respond to each sub-instruction simultaneously, and the fast discharge capability of the supercapacitor is utilized multiple times, which reduces the capacity requirement of the supercapacitor configured in the hybrid energy storage system, ensures a fast response to the AGC instruction, and also reduces the discharge rate of the lithium battery, thereby extending the overall service life of the energy storage system. In addition, compared with traditional control methods, in a response process, the supercapacitor is only used to respond to high-frequency pulse instructions. Because the resistance of the supercapacitor increases rapidly as the frequency decreases, when the supercapacitor is only used to respond to high-frequency pulse instructions, the loss in the supercapacitor is reduced, which has greater application value.

[0061] The following are embodiments of the apparatus disclosed herein, which can be used to implement the method embodiments disclosed herein. For details not disclosed in the apparatus embodiments disclosed herein, please refer to the method embodiments disclosed herein.

[0062] See Figure 3 , Figure 3 A block diagram of an AGC command response device based on a hybrid energy storage system provided by an embodiment of the present disclosure is shown. The AGC command response device based on a hybrid energy storage system can be implemented as all or part of the system through software, hardware, or a combination of both. The AGC command response device based on a hybrid energy storage system of this embodiment can be simply referred to as a command response device. The AGC command response device based on a hybrid energy storage system 10 includes a decomposition module 11, a control module 12, a calculation module 13, and a judgment module 14, wherein:

[0063] A decomposition module 11 is used to obtain the AGC instruction issued by the power grid dispatching system and decompose the AGC instruction into multiple sub-instructions, wherein the AGC instruction carries the expected total power;

[0064] The control module 12 is used to send each sub-command in sequence, and control the supercapacitor lithium battery hybrid energy storage system to respond to each sub-command based on the energy storage capacity and set capacity of the supercapacitor and the set ratio of the sub-command;

[0065] A calculation module 13 is used to calculate the actual total power output by the supercapacitor lithium battery hybrid energy storage system when responding to and completing all sub-instructions;

[0066] The judgment module 14 is used to determine whether the supercapacitor lithium battery hybrid energy storage system responds to and completes the AGC instruction based on the actual total power and the expected total power.

[0067] Optionally, the control module 12 is specifically configured to: sequentially select a sub-command as a target sub-command, send the target sub-command to the supercapacitor-lithium-battery hybrid energy storage system, and cause the supercapacitor energy storage controller and the lithium-battery energy storage controller to simultaneously respond to the target sub-command; while simultaneously responding to the target sub-command, determine whether the supercapacitor's energy storage capacity is less than or equal to a set capacity, and if so, control the supercapacitor energy storage controller to stop responding; after the supercapacitor energy storage controller stops responding, determine whether the lithium-battery energy storage controller has responded to the set proportion of the target sub-command, and if so, charge the supercapacitor until charging is complete, thereby completing the supercapacitor-lithium-battery hybrid energy storage system's response to the target sub-command.

[0068] Optionally, the judgment module 14 is specifically used to: judge whether the actual total power is less than the expected total power. If so, calculate the difference between the expected total power and the actual total power, and generate a fine-tuning instruction. The fine-tuning instruction carries the fine-tuning power, and the fine-tuning power is the difference. The lithium battery and / or the generator set responds to the fine-tuning instruction, thereby responding to and completing the AGC instruction.

[0069] It should be noted that the AGC instruction response device based on the hybrid energy storage system provided in the above embodiment only uses the division of the above-mentioned functional modules as an example when executing the AGC instruction response method based on the hybrid energy storage system. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the electronic device can be divided into different functional modules to complete all or part of the functions described above. In addition, the AGC instruction response device based on the hybrid energy storage system provided in the above embodiment and the AGC instruction response method based on the hybrid energy storage system belong to the same concept. The implementation process is detailed in the method embodiment and will not be repeated here.

[0070] The serial numbers of the above-mentioned embodiments of the present disclosure are for description only and do not represent the advantages or disadvantages of the embodiments.

[0071] In the AGC instruction response device based on the hybrid energy storage system of the embodiment of the present disclosure, the decomposition module obtains the AGC instruction issued by the power grid dispatching system, decomposes the AGC instruction into multiple sub-instructions, wherein the AGC instruction carries the expected total power; the control module sends each sub-instruction in sequence, and controls the supercapacitor lithium battery hybrid energy storage system to respond to each sub-instruction based on the energy storage capacity and set capacity of the supercapacitor and the set ratio of the sub-instruction; the calculation module calculates the actual total power output by the supercapacitor lithium battery hybrid energy storage system when it responds to and completes all sub-instructions; the judgment module determines whether the supercapacitor lithium battery hybrid energy storage system responds to and completes the AGC instruction based on the actual total power and the expected total power. In this case, the AGC instruction is decomposed into several small sub-instructions, and the supercapacitor energy storage controller and the lithium battery energy storage controller in the supercapacitor lithium battery hybrid energy storage system respond to each sub-instruction simultaneously, and the fast discharge capability of the supercapacitor is utilized multiple times, which reduces the capacity requirement of the supercapacitor configured in the hybrid energy storage system, ensures a fast response to the AGC instruction, and also reduces the discharge rate of the lithium battery, thereby extending the overall service life of the energy storage system. In addition, compared with traditional control devices, during a response process, the supercapacitor is only used to respond to high-frequency pulse instructions. Because the resistance of the supercapacitor increases rapidly as the frequency decreases, when the supercapacitor is only used to respond to high-frequency pulse instructions, the loss in the supercapacitor is reduced, which has greater application value.

[0072] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0073] Figure 4 is a block diagram of an electronic device for implementing the AGC instruction response method based on a hybrid energy storage system according to an embodiment of the present disclosure. 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 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable electronic devices, and other similar computing devices. The components, connections and relationships of the components, and functions of the components shown in the present disclosure are merely examples and are not intended to limit the implementation of the present disclosure described and / or required in the present disclosure.

[0074] like Figure 4As shown, the electronic device 20 includes a computing unit 21, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 22 or a computer program loaded from a storage unit 28 into a random access memory (RAM) 23. Various programs and data required for the operation of the electronic device 20 can also be stored in the RAM 23. The computing unit 21, the ROM 22, and the RAM 23 are connected to each other via a bus 24. An input / output (I / O) interface 25 is also connected to the bus 24.

[0075] Multiple components in the electronic device 20 are connected to the I / O interface 25, including an input unit 26, such as a keyboard, a mouse, etc.; an output unit 27, such as various types of displays, speakers, etc.; a storage unit 28, such as a magnetic disk, an optical disk, etc., which is communicatively connected to the computing unit 21; and a communication unit 29, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 29 allows the electronic device 20 to exchange information / data with other electronic devices via a computer network such as the Internet and / or various telecommunication networks.

[0076] The computing unit 21 can be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 21 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units that run machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 21 performs the various methods and processes described above, such as executing the AGC instruction response method based on the hybrid energy storage system. For example, in some embodiments, the AGC instruction response method based on the hybrid energy storage system can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 28. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 20 via the ROM 22 and / or the communication unit 29. When the computer program is loaded into the RAM 23 and executed by the computing unit 21, one or more steps of the AGC instruction response method based on the hybrid energy storage system described above can be performed. Alternatively, in other embodiments, the computing unit 21 may be configured to execute the AGC instruction response method based on the hybrid energy storage system in any other appropriate manner (for example, by means of firmware).

[0077] Various embodiments of the systems and techniques described above in the present disclosure can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), 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 that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0078] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code 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.

[0079] In the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or electronic device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or electronic device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage electronic device, a magnetic storage electronic device, or any suitable combination of the foregoing.

[0080] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer 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 can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the 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, voice input, or tactile input).

[0081] The systems and techniques described herein can be implemented in a computing system that includes back-end 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 front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), the Internet, and a blockchain network.

[0082] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. This client-server relationship is established by computer programs running on the respective computers, establishing a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS services ("Virtual Private Servers" or simply "VPS"). The server may also be a server in a distributed system or a server integrated with blockchain.

[0083] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This disclosure is not limited here.

[0084] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. An AGC command response method based on a hybrid energy storage system, characterized in that: include: Obtaining an AGC instruction issued by a power grid dispatching system, and decomposing the AGC instruction into a plurality of sub-instructions, wherein the AGC instruction carries the expected total power; Selecting one sub-command in turn as a target sub-command, and sending the target sub-command to the supercapacitor lithium battery hybrid energy storage system, so that the supercapacitor energy storage controller and the lithium battery energy storage controller respond to the target sub-command at the same time; In the process of simultaneously responding to the target sub-instruction, determining whether the energy storage capacity of the supercapacitor is less than or equal to the set capacity, and if so, controlling the supercapacitor energy storage controller to stop responding; After the supercapacitor energy storage controller stops responding, determining whether the lithium battery energy storage controller responds to the set proportion of the target sub-command, and if so, charging the supercapacitor until charging is complete, so as to complete the response of the supercapacitor lithium battery hybrid energy storage system to the target sub-command; Calculating the actual total power output by the supercapacitor lithium battery hybrid energy storage system when responding to and completing all sub-instructions; determining whether the actual total power is less than the expected total power; if so, calculating a difference between the expected total power and the actual total power, and generating a fine-tuning instruction according to the difference, wherein the fine-tuning instruction carries a fine-tuning power, and the fine-tuning power is the difference; Sending the fine-tuning instruction so that the lithium battery and / or the generator set responds to the fine-tuning instruction, thereby responding to and completing the AGC instruction; The expected power carried by each sub-command is less than or equal to half of the rated power of the supercapacitor.

2. The AGC command response method based on the hybrid energy storage system according to claim 1, characterized in that: Decomposing the AGC instruction into a plurality of sub-instructions includes: The AGC instruction is evenly decomposed into a plurality of sub-instructions, wherein the expected powers carried by the sub-instructions are all equal, and the expected total power is equal to the sum of the expected powers carried by all the sub-instructions.

3. The AGC instruction response method based on the hybrid energy storage system according to claim 1, characterized in that: The set capacity has a value range of 20% to 30% of the rated capacity of the supercapacitor, and the set ratio has a value range of 63.2% to 66.7%.

4. The AGC instruction response method based on the hybrid energy storage system according to claim 3, characterized in that: The rated power of the lithium battery is a preset multiple of the rated power of the supercapacitor, and the discharge rate of the supercapacitor is a preset multiple of the discharge rate of the lithium battery.

5. An AGC command response device based on a hybrid energy storage system, characterized in that: include: a decomposition module, configured to obtain an AGC instruction issued by a power grid dispatching system and decompose the AGC instruction into a plurality of sub-instructions, wherein the AGC instruction carries the expected total power; A control module is configured to sequentially select a sub-instruction as a target sub-instruction, and send the target sub-instruction to the supercapacitor lithium battery hybrid energy storage system so that the supercapacitor energy storage controller and the lithium battery energy storage controller simultaneously respond to the target sub-instruction; in the process of simultaneously responding to the target sub-instruction, determine whether the energy storage capacity of the supercapacitor is less than or equal to the set capacity, and if so, control the supercapacitor energy storage controller to stop responding; after the supercapacitor energy storage controller stops responding, determine whether the lithium battery energy storage controller responds to the set proportion of the target sub-instruction, and if so, charge the supercapacitor until charging is complete, so as to complete the response of the supercapacitor lithium battery hybrid energy storage system to the target sub-instruction; A calculation module is used to calculate the actual total power output by the supercapacitor lithium battery hybrid energy storage system when responding to and completing all sub-instructions; a determination module, configured to determine whether the actual total power is less than the expected total power; if so, calculate the difference between the expected total power and the actual total power, and generate a fine-tuning instruction, wherein the fine-tuning instruction carries a fine-tuning power, and the fine-tuning power is the difference; and utilize the lithium battery and / or the generator set to respond to the fine-tuning instruction, thereby responding to and completing the AGC instruction; The expected power carried by each sub-command is less than or equal to half of the rated power of the supercapacitor.

6. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the AGC instruction response method based on the hybrid energy storage system according to any one of claims 1 to 4.

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