Method and system for adjusting redundant operation of parallel hydrogen production power supply

Abstract

The invention discloses a parallel hydrogen production power supply redundant operation adjusting method and system, and the method comprises the steps: calculating the number of power units in a high-power hydrogen production power supply, numbering each power unit, and calculating the number of chopping side branches of each power unit. According to the method, power units in the hydrogen production power supply are numbered, a chopping side branch in each power unit is numbered, the switching period of the chopping branch is T, and the phase difference when the chopping branches are interleaved and connected in parallel and the phase difference of carriers of other chopping branches relative to a reference chopping side branch are calculated; when a certain power unit breaks down, the system can operate in a redundant mode, maintain normal work of the electrolytic cell, quit operation of the faulty power unit, reorder chopping branches of the normal power unit and stagger according to new phase differences, the problem that ripples are increased due to uneven phase differences can be avoided, and the requirements of workers are met.

Description

Technical Field

[0001] The present invention generally relates to the technical field of hydrogen production power supply operation, and specifically relates to a parallel type hydrogen production power supply redundant operation adjustment method and system. Background Art

[0002] With the development of electrolyzers, alkaline electrolyzers have reached specifications of thousands of standard cubic meters, and the capacity of the corresponding hydrogen production power supply has also reached the MW level. High-power IGBT-type hydrogen production power supplies often adopt a multi-machine parallel solution, which can be flexibly configured to adapt to electrolyzers of different specifications. The chopper outputs of each power unit are connected in parallel to the electrolyzer, and the chopper branches inside the power unit use a multi-branch staggered method to reduce the output ripple, which can achieve low ripple output while reducing the filter inductance. If the chopper branches of all power units are arranged in sequence, then all the chopper branches can be staggered at a smaller angle to achieve a smaller ripple output, thereby further reducing the filter inductance in hardware design.

[0003] When a power unit fails, the system can operate redundantly to maintain the normal operation of the electrolyzer. The failed power unit is shut down, and the chopper branches of the normal power unit are reordered and staggered according to the new phase difference, which can avoid the problem of increased ripple due to uneven phase difference.

[0004] The existing technical solution does not uniformly sort the choppers of all power units to evenly divide a switching cycle, but the chopper branches inside each power unit evenly divide a switching cycle. The total number of staggered parallel chopper branches is not fully utilized, the ripple is large, and resources are wasted. Summary of the invention

[0005] In order to solve the above technical problems, a parallel type hydrogen production power supply redundant operation adjustment method and system are provided. The technical solution solves the problem that the existing technical solution does not uniformly sort the choppers of all power units to evenly divide a switching cycle, but the chopper branches inside each power unit evenly divide a switching cycle, the total number of staggered parallel chopper branches is not fully utilized, and the ripple is large.

[0006] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0007] In a first aspect of the present invention, a method for adjusting redundant operation of a parallel hydrogen production power supply is provided. The method comprises:

[0008] Calculate the number of power units in the high-power hydrogen production power supply, number each power unit, and calculate the number of chopping side branches of each power unit;

[0009] Based on a number of numbered power units and the number of chopping-side branches of each power unit, the total number of chopping branches of the hydrogen production power source and the sequence number of each chopping branch are obtained;

[0010] The switching period of the chopping branch is obtained as T, and the phase difference when the chopping branches are staggered in parallel is calculated;

[0011] Taking the first chopping side branch in the first numbered power unit as a reference, calculating the phase difference of the carrier of other chopping branches relative to the reference chopping side branch;

[0012] Monitor the operating status of each power unit in real time, and obtain the actual operating power and operating temperature of each power unit to form an actual operating data set;

[0013] Retrieve the historical operation data set when the power unit fails from the database, train it based on the neural network model, and obtain the fault prediction model;

[0014] The fault prediction model is used to analyze the actual operation data set of each power unit to determine whether the power unit has a fault;

[0015] If it is determined that a power unit with a specific number has failed, each power unit and each chopping side branch of the power unit will be renumbered, and the phase difference when the chopping branches are staggered in parallel and the phase difference of the carrier of other chopping branches relative to the reference chopping side branch will be recalculated to ensure the normal operation of the hydrogen production power supply.

[0016] Preferably, the calculation of the number of power units in the high-power hydrogen production power supply includes:

[0017] Obtain the total power required by the electrolysis system;

[0018] Get the rated power of the power unit;

[0019] Calculate the number of power units based on total power and rated power;

[0020] The number of power units is:

[0021]

[0022] Where N unit is the total number of power units, P 总 is the total power required by the electrolysis system, and P0 is the rated power of the power unit.

[0023] Preferably, the total number of chopping branches of the hydrogen production power supply is:

[0024] N bran c h_total =N unit ×Nbranch

[0025] Where N branch_total is the total number of chopper branches of the hydrogen production power supply, and the power units are numbered in sequence (the power unit numbers are 1, 2, 3, ..., N unit ), and the chopper branches are numbered in sequence according to the number of the power unit. The chopper branches of power unit 1 are numbered 1, 2, 3, ..., N in sequence. branch The chopping branch of power unit 2 is numbered after the chopping branch of power unit 1, and the reasoning is carried out in sequence.

[0026] Preferably, each chopping branch has a sequence number of:

[0027] K branch =(N unit_num -1)×N branch +N branch_num

[0028] Where N unit_num The power unit number is 1, 2, 3, ..., N unit , N branch_num The chopping branch numbers are 1, 2, 3, ..., N branch .

[0029] Preferably, the phase difference when the chopping branches are staggered in parallel is:

[0030]

[0031] In the formula, is the phase difference, T is the switching period of the chopper branch, N branch_total is the total number of chopping branches of the hydrogen production power supply.

[0032] Preferably, the phase difference of the carrier of the other chopping branch relative to the reference chopping side branch is:

[0033]

[0034] In the formula, the carrier zero crossing point of chopper branch 1 is taken as the reference, K is the phase difference when the chopper branches are connected in parallel. branch is the sequence number of the chopping branch.

[0035] Preferably, the historical operation data set when the power unit fails is retrieved from the database, and the fault prediction model is obtained by training based on the neural network model, including:

[0036] Build a fault prediction model based on feedforward neural network;

[0037] Based on machine learning, multiple sample operating power data and multiple sample operating temperature data are labeled and divided to obtain training sets, validation sets, and test sets;

[0038] The fault prediction model is supervised trained, verified and tested using training sets, validation sets and test sets to obtain a fault prediction model whose accuracy meets the preset accuracy requirements.

[0039] Preferably, the fault prediction model is:

[0040]

[0041] Where C is the adaptability between the characteristic parameters of the input actual operation data set and the characteristic parameters of the historical operation data set at the time of the fault, S i is the i-th feature parameter, α i is the weight value of the i-th feature parameter, and m is the total number of feature parameters;

[0042] C is compared with a preset threshold value. If the value of C is greater than or equal to the threshold value, the power unit fails; otherwise, no failure occurs.

[0043] In a second aspect of the present invention, a parallel type hydrogen production power supply redundant operation adjustment system is provided.

[0044] The system includes:

[0045] A first calculation module, the calculation module is used to calculate the number of power units in the high-power hydrogen production power supply, number each power unit, and calculate the number of chopping side branches of each power unit;

[0046] A first acquisition module, which is used to acquire the total number of chopping branches of the hydrogen production power supply and the sequence number of each chopping branch based on a number of numbered power units and the number of chopping side branches of each power unit.

[0047] A second acquisition module, the second acquisition module is used to obtain the switching period of the chopping branch as T, and calculate the phase difference when the chopping branches are staggered in parallel;

[0048] A second calculation module, the second calculation module is used to calculate the phase difference of the carrier of other chopping branches relative to the reference chopping side branch based on the first chopping side branch in the first numbered power unit;

[0049] A monitoring module, which is used to monitor the operating status of each power unit in real time and obtain the actual operating power and operating temperature of each power unit to form an actual operating data set;

[0050] A model building module, wherein the model building module is used to retrieve a historical operating data set when a power unit fails from a database, perform training based on a neural network model, and obtain a fault prediction model;

[0051] A determination module, the determination module is used to analyze the actual operation data set of each power unit using a fault prediction model to determine whether the power unit has a fault;

[0052] The regulation module is used to determine that a power unit with a specific number has failed, then renumber each power unit and the chopping side branch of each power unit, and recalculate the phase difference when the chopping branches are staggered in parallel and the phase difference of the carrier of other chopping branches relative to the reference chopping side branch to ensure the normal operation of the hydrogen production power supply.

[0053] In a third aspect of the present invention, an electronic device is provided. The electronic device has at least one processor; and a memory connected to the at least one processor in communication; 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 perform the method of the first aspect of the present invention.

[0054] Compared with the prior art, the present invention provides a parallel type hydrogen production power supply redundant operation adjustment method and system, which has the following beneficial effects:

[0055] The present invention adopts the method of numbering the power units in the hydrogen production power supply and also numbering the chopping side branches in each power unit. The switching period of the chopping branch is T. The phase difference when the chopping branches are staggered in parallel and the phase difference of the carrier of other chopping branches relative to the reference chopping side branch are calculated. When a power unit fails, the system can operate redundantly to maintain the normal operation of the electrolyzer. The failed power unit stops running, and the chopping branches of the normal power units are reordered and staggered according to the new phase difference. This can avoid the problem of increased ripple due to uneven phase difference and meet the needs of the staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0057] Figure 1 It is a schematic diagram of the redundant operation adjustment method of the parallel type hydrogen production power supply in the present invention;

[0058] Figure 2 A schematic diagram of a method for calculating the number of power units in a high-power hydrogen production power supply in the present invention;

[0059] Figure 3 A schematic diagram of a method for obtaining a fault prediction model by training a neural network model in the present invention;

[0060] Figure 4 A block diagram of a parallel type hydrogen production power supply redundant operation adjustment system according to the present invention is shown.

[0061] Figure 5 A block diagram of an exemplary electronic device capable of implementing embodiments of the present invention is shown;

[0062] Among them, 500 is an electronic device, 501 is a computing unit, 502 is a ROM, 503 is a RAM, 504 is a bus, 505 is an I / O interface, 506 is an input unit, 507 is an output unit, 508 is a storage unit, and 509 is a communication unit. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0065] Example 1

[0066] Please refer to Figure 1 As shown, in the first aspect of the present invention, a method for adjusting the redundant operation of a parallel hydrogen production power supply is provided. The method comprises:

[0067] S101, calculating the number of power units in the high-power hydrogen production power supply, numbering each power unit, and calculating the number of chopping side branches of each power unit;

[0068] S102, based on a number of numbered power units and the number of chopping-side branches of each power unit, obtaining the total number of chopping branches of the hydrogen production power source and the sequence number of each chopping branch;

[0069] S103, obtaining a switching period of the chopping branch as T, and calculating a phase difference when the chopping branches are staggered in parallel;

[0070] S104, taking the first chopping side branch in the first numbered power unit as a reference, calculating the phase difference of the carrier of the other chopping branches relative to the reference chopping side branch;

[0071] S105, monitoring the operating status of each power unit in real time, and obtaining the actual operating power and operating temperature of each power unit to form an actual operating data set;

[0072] S106, retrieving a historical operating data set when the power unit fails from a database, training based on a neural network model, and obtaining a fault prediction model;

[0073] S107, using a fault prediction model to analyze the actual operation data set of each power unit to determine whether a fault occurs in the power unit;

[0074] S108. If it is determined that a power unit with a specific number fails, each power unit and the chopping side branch of each power unit are renumbered, and the phase difference when the chopping branches are staggered in parallel and the phase difference of the carrier of other chopping branches relative to the reference chopping side branch are recalculated to ensure the normal operation of the hydrogen production power supply.

[0075] It can be understood by those skilled in the art that a multi-machine parallel hydrogen production power supply is composed of a plurality of power units connected in parallel in AC and DC. The power unit is an IGBT type, consisting of a rectifier side and a chopper side. The rectifier side converts the AC voltage into a DC voltage to provide a stable DC source for the chopper side. The chopper side responds to the system's instructions to provide the electrolyzer with the required current. The present invention adopts the method of numbering the power units in the hydrogen production power supply, and also numbering the chopper side branches in each power unit. The switching period of the chopper branch is T. The phase difference when the chopper branches are staggered in parallel and the phase difference of the carrier of other chopper branches relative to the reference chopper side branch are calculated. When a power unit fails, the system can operate redundantly to maintain the normal operation of the electrolyzer, the failed power unit exits operation, and the chopper branches of the normal power unit are reordered and staggered according to the new phase difference. This can avoid the problem of increased ripple due to uneven phase difference and meet the needs of the staff.

[0076] Please refer to Figure 2 As shown, the number of power units in the large-power hydrogen production power supply is calculated, including

[0077] S201, obtaining the total power required by the electrolysis system;

[0078] S202, obtaining the rated power of the power unit;

[0079] S203, calculating the number of power units based on the total power and the rated power;

[0080] The number of power units is:

[0081]

[0082] Where N unit is the total number of power units, P 总 is the total power required by the electrolysis system, and P0 is the rated power of the power unit.

[0083] The total number of chopping branches of hydrogen production power supply is:

[0084] N branch_total =N unit ×N branch

[0085] Where N branch_total is the total number of chopper branches of the hydrogen production power supply, and the power units are numbered in sequence (the power unit numbers are 1, 2, 3, ..., N unit ), and the chopper branches are numbered in sequence according to the number of the power unit. The chopper branches of power unit 1 are numbered 1, 2, 3, ..., N in sequence. branch The chopping branch of power unit 2 is numbered after the chopping branch of power unit 1, and the reasoning is carried out in sequence.

[0086] The sequence number of each chopping branch is:

[0087] K branch =(N unit_num -1)×N branch +N branch_num

[0088] Where N unit_num The power unit number is 1, 2, 3, ..., N unit , N branch_num The chopping branch numbers are 1, 2, 3, ..., N branch .

[0089] The phase difference when the chopper branches are staggered in parallel is:

[0090]

[0091] In the formula, is the phase difference, T is the switching period of the chopper branch, N branch_total is the total number of chopping branches of the hydrogen production power supply.

[0092] The phase difference of the carrier of other chopping branches relative to the reference chopping side branch is:

[0093]

[0094] In the formula, the carrier zero crossing point of chopper branch 1 is taken as the reference, K is the phase difference when the chopper branches are connected in parallel. branch is the sequence number of the chopping branch.

[0095] Please refer to Figure 3 As shown, the historical operation data set when the power unit fails is retrieved from the database, and the neural network model is trained to obtain the fault prediction model, including:

[0096] S301. Constructing a fault prediction model based on a feedforward neural network;

[0097] S302, based on machine learning, labeling and dividing the multiple sample operating power data and the multiple sample operating temperature data to obtain a training set, a validation set, and a test set;

[0098] S303: Use the training set, validation set and test set to perform supervised training, validation and testing on the fault prediction model to obtain a fault prediction model whose accuracy meets the preset accuracy requirements.

[0099] The fault prediction model is:

[0100]

[0101] Where C is the adaptability between the characteristic parameters of the input actual operation data set and the characteristic parameters of the historical operation data set at the time of the fault, S i is the i-th characteristic parameter, α i is the weight value of the i-th feature parameter, and m is the total number of feature parameters;

[0102] C is compared with a preset threshold value. If the value of C is greater than or equal to the threshold value, the power unit fails; otherwise, no failure occurs.

[0103] Please refer to Figure 4 As shown, in the second aspect of the present invention, a parallel type hydrogen production power supply redundant operation regulation system is provided. The system 400 includes:

[0104] A first calculation module 410, which is used to calculate the number of power units in the high-power hydrogen production power supply, number each power unit, and calculate the number of chopping side branches of each power unit;

[0105] The first acquisition module 420 is used to acquire the total number of chopping branches of the hydrogen production power source and the sequence number of each chopping branch based on a number of numbered power units and the number of chopping side branches of each power unit.

[0106] A second acquisition module 430, the second acquisition module is used to obtain the switching period of the chopping branch as T, and calculate the phase difference when the chopping branches are staggered in parallel;

[0107] A second calculation module 440, the second calculation module is used to calculate the phase difference of the carrier of other chopping branches relative to the reference chopping side branch with respect to the first chopping side branch in the first numbered power unit as a reference;

[0108] A monitoring module 450, which is used to monitor the operating status of each power unit in real time and obtain the actual operating power and operating temperature of each power unit to form an actual operating data set;

[0109] A model building module 460, which is used to retrieve a historical operating data set when a power unit fails from a database, perform training based on a neural network model, and obtain a fault prediction model;

[0110] A determination module 470, which is used to analyze the actual operation data set of each power unit using a fault prediction model to determine whether the power unit has a fault;

[0111] The adjustment module 480 is used to determine that a power unit with a specific number has failed, and then renumber each power unit and the chopping side branch of each power unit, and recalculate the phase difference when the chopping branches are staggered in parallel and the phase difference of the carrier of other chopping branches relative to the reference chopping side branch to ensure the normal operation of the hydrogen production power supply.

[0112] According to an embodiment of the present invention, the present invention further provides an electronic device.

[0113] Figure 5 A schematic block diagram of an electronic device 500 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0114] The electronic device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0115] Multiple components in the electronic device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the electronic device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0116] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 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 running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 501 performs the various methods and processes described above, such as methods S100 to S600. For example, in some embodiments, methods S101 to S108 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 500 via ROM 502 and / or communication unit 509. When the computer program is loaded into RAM 503 and executed by the computing unit 501, one or more steps of methods S101 to S108 described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to execute methods S101 to S108 in any other appropriate manner (eg, by means of firmware).

[0117] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0118] The program code for implementing the method of the present invention 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 the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0119] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. 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, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0120] 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).

[0121] The systems and techniques described herein may 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 may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0122] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0123] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0124] In summary, the multi-machine parallel hydrogen production power supply is composed of multiple power units connected in parallel in AC and DC. The power unit is an IGBT type, consisting of a rectifier side and a chopper side. The rectifier side converts the AC voltage into a DC voltage to provide a stable DC source for the chopper side. The chopper side responds to the system's instructions to provide the required current to the electrolyzer. The present invention adopts the method of numbering the power units in the hydrogen production power supply, and also numbers the chopper side branches in each power unit. The switching period of the chopper branch is T. The phase difference when the chopper branches are staggered in parallel and the phase difference of the carrier of other chopper branches relative to the reference chopper side branch are calculated. When a power unit fails, the system can operate redundantly to maintain the normal operation of the electrolyzer, the failed power unit exits operation, and the chopper branches of the normal power unit are reordered and staggered according to the new phase difference. The problem of increased ripple due to uneven phase difference can be avoided, meeting the needs of the staff.

[0125] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A parallel type hydrogen production power supply redundant operation adjustment method, characterized in that: include: Calculate the number of power units in the high-power hydrogen production power supply, number each power unit, and calculate the number of chopping side branches of each power unit; Based on a number of numbered power units and the number of chopping-side branches of each power unit, the total number of chopping branches of the hydrogen production power source and the sequence number of each chopping branch are obtained; The switching period of the chopping branch is obtained as T, and the phase difference when the chopping branches are staggered in parallel is calculated; Taking the first chopping side branch in the first numbered power unit as a reference, calculating the phase difference of the carrier of other chopping branches relative to the reference chopping side branch; Monitor the operating status of each power unit in real time, and obtain the actual operating power and operating temperature of each power unit to form an actual operating data set; Retrieve the historical operation data set when the power unit fails from the database, train it based on the neural network model, and obtain the fault prediction model; The fault prediction model is used to analyze the actual operation data set of each power unit to determine whether the power unit has a fault; If it is determined that a power unit with a specific number has failed, each power unit and each chopping side branch of the power unit will be renumbered, and the phase difference when the chopping branches are staggered in parallel and the phase difference of the carrier of other chopping branches relative to the reference chopping side branch will be recalculated to ensure the normal operation of the hydrogen production power supply.

2. A parallel type hydrogen production power supply redundant operation adjustment method according to claim 1, characterized in that: The calculation of the number of power units in the high-power hydrogen production power supply includes: Obtain the total power required by the electrolysis system; Get the rated power of the power unit; Calculate the number of power units based on total power and rated power; The number of power units is: Where N unit is the total number of power units, P 总 is the total power required by the electrolysis system, and P0 is the rated power of the power unit.

3. A parallel type hydrogen production power supply redundant operation adjustment method according to claim 2, characterized in that: The total number of chopping branches of the hydrogen production power supply is: N branch_total =N unit ×N branch Where N branch_total is the total number of chopper branches of the hydrogen production power supply, and the power units are numbered in sequence (the power unit numbers are 1, 2, 3, ..., N unit ), and the chopper branches are numbered in sequence according to the number of the power unit. The chopper branches of power unit 1 are numbered 1, 2, 3, ..., N in sequence. branch The chopping branch of power unit 2 is numbered after the chopping branch of power unit 1, and the reasoning is carried out in sequence.

4. A parallel type hydrogen production power supply redundant operation adjustment method according to claim 3, characterized in that: The sequence number of each chopping branch is: K branch =(N unit_num -1)×N branch +N branch_num Where N unit_num The power unit number is 1, 2, 3, ..., N unit , N branch_num The chopping branch numbers are 1, 2, 3, ..., N branch .

5. A parallel type hydrogen production power supply redundant operation adjustment method according to claim 4, characterized in that: The phase difference when the chopper branches are staggered in parallel is: Where ▽θ is the phase difference, T is the switching period of the chopper branch, and N branch_total is the total number of chopping branches of the hydrogen production power supply.

6. A parallel type hydrogen production power supply redundant operation adjustment method according to claim 5, characterized in that: The phase difference of the carrier of the other chopping branch relative to the reference chopping side branch is: i k_branch =▽θ×(K branch -1) In the formula, the carrier zero crossing point of chopper branch 1 is taken as the reference, ▽θ is the phase difference when the chopper branches are staggered in parallel, and K branch is the sequence number of the chopping branch.

7. A parallel type hydrogen production power supply redundant operation adjustment method according to claim 6, characterized in that: The method of retrieving a historical operating data set when a power unit fails from a database, training the data set based on a neural network model, and obtaining a fault prediction model includes: Build a fault prediction model based on feedforward neural network; Based on machine learning, multiple sample operating power data and multiple sample operating temperature data are labeled and divided to obtain training sets, validation sets, and test sets; The fault prediction model is supervised trained, verified and tested using training sets, validation sets and test sets to obtain a fault prediction model whose accuracy meets the preset accuracy requirements.

8. A parallel type hydrogen production power supply redundant operation adjustment method according to claim 7, characterized in that: The fault prediction model is: Where C is the adaptability between the characteristic parameters of the input actual operation data set and the characteristic parameters of the historical operation data set at the time of the fault, S i is the i-th characteristic parameter, α i is the weight value of the i-th feature parameter, and m is the total number of feature parameters; C is compared with a preset threshold value. If the value of C is greater than or equal to the threshold value, the power unit fails; otherwise, no failure occurs.

9. A parallel type hydrogen production power supply redundant operation adjustment system, used to implement a parallel type hydrogen production power supply redundant operation adjustment method as claimed in any one of claims 1 to 8, characterized in that: The system comprises: A first calculation module, the calculation module is used to calculate the number of power units in the high-power hydrogen production power supply, number each power unit, and calculate the number of chopping side branches of each power unit; A first acquisition module, which is used to acquire the total number of chopping branches of the hydrogen production power supply and the sequence number of each chopping branch based on a number of numbered power units and the number of chopping side branches of each power unit. A second acquisition module, the second acquisition module is used to obtain the switching period of the chopping branch as T, and calculate the phase difference when the chopping branches are staggered in parallel; A second calculation module, the second calculation module is used to calculate the phase difference of the carrier of other chopping branches relative to the reference chopping side branch based on the first chopping side branch in the first numbered power unit; A monitoring module, which is used to monitor the operating status of each power unit in real time and obtain the actual operating power and operating temperature of each power unit to form an actual operating data set; A model building module, wherein the model building module is used to retrieve a historical operating data set when a power unit fails from a database, perform training based on a neural network model, and obtain a fault prediction model; A determination module, the determination module is used to analyze the actual operation data set of each power unit using a fault prediction model to determine whether the power unit has a fault; The regulation module is used to determine that a power unit with a specific number has failed, then renumber each power unit and the chopping side branch of each power unit, and recalculate the phase difference when the chopping branches are staggered in parallel and the phase difference of the carrier of other chopping branches relative to the reference chopping side branch to ensure the normal operation of the hydrogen production power supply.

10. An electronic device comprising at least one processor; and a memory connected to the at least one processor in communication; characterized in that: 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 perform the method according to any one of claims 1 to 8.

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