Vanadium liquid electric pile energy storage system control method and system, equipment and medium

Abstract

The invention relates to the technical field of chemical batteries, in particular to a vanadium liquid electric pile energy storage system control method and system, equipment and a medium, and the method mainly comprises the steps: obtaining a plurality of target data and a judgment threshold value corresponding to the target data, and obtaining an abnormal rate of the current target data according to the target data and the judgment threshold value of the target data; according to the method, an abnormal rate evaluation model is established, an evaluation value threshold value is set, an evaluation value is obtained through the abnormal rate evaluation model, the evaluation value is compared with the evaluation value threshold value, abnormal data are further analyzed through the method, further warning is carried out based on an analysis result of abnormal target data, and according to the analysis result, the abnormal target data can be obtained. According to the electric pile monitoring device and the electric pile monitoring method, the required monitoring duration is controlled, on one hand, a rotary monitoring device can be installed, special monitoring equipment is not needed to monitor the electric pile, the cost is saved, on the other hand, reasonable control over the monitoring duration of the electric pile is provided for the rotary monitoring equipment, and the situation that other places are not monitored is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of chemical batteries, and in particular, to a control method and system, device, and medium for a vanadium redox flow battery energy storage system. Background Art

[0002] A vanadium redox flow battery is an electrochemical energy storage device based on the oxidation-reduction reaction of vanadium ions. Its core technologies include the preparation of electrolytes, the research and development of membrane materials, and the optimization of electrode materials. Vanadium redox flow batteries have the advantages of adjustable energy storage capacity, high energy efficiency, and long life cycle, and are widely used in the fields of renewable energy power storage and power grid frequency modulation.

[0003] In recent years, vanadium redox flow battery technology has developed rapidly in the fields of power grid frequency modulation and power storage. Related domestic and foreign enterprises such as Beijing Vanadium Titanium Technology Co., Ltd. and Aureader Co., Ltd. are actively deploying to promote technology research and development and industrialization. With the continuous progress of technology, the application potential of vanadium redox flow batteries in power grid frequency modulation will be more significant and is expected to become an important direction in the future energy storage field.

[0004] However, at present, there is a problem of inaccurate fault judgment in the energy storage system of vanadium redox flow batteries, that is, generally only a certain data is reported as an error without an analysis process. Such simple and rough frequent error reporting may cause staff to neglect truly more serious faults. Summary of the Invention

[0005] The purpose of the present invention is to provide a control method and system, device, and medium for a vanadium redox flow battery energy storage system to solve the above problems in the prior art.

[0006] The present invention is achieved through the following technical solutions:

[0007] In a first aspect, the present invention provides a control method for a vanadium redox flow battery energy storage system, including:

[0008] Obtain the basic data of the current battery stack, and determine whether there is abnormal target data in the current basic data. If it is normal, continue to monitor; if it is not normal, obtain the current abnormal target data;

[0009] Obtain a number of target data and the judgment thresholds corresponding to the target data, and obtain the abnormality rate of the current target data according to the target data and the judgment thresholds of the target data;

[0010] Establish an abnormality rate evaluation model and set an evaluation value threshold, obtain an evaluation value through the abnormality rate evaluation model, and judge whether to output an instruction of a first control signal by comparing the evaluation value with the evaluation value threshold;

[0011] The first control signal includes determining whether the current target data includes temperature data and electrolyte flow data, and if not, only sending an alarm signal and target data to the control terminal;

[0012] If yes, an alarm signal and target data are sent to the control terminal, and the monitoring data of the current fuel cell stack is sent at the same time, and the duration for which the fuel cell stack is to be monitored is output through the evaluation value.

[0013] Preferably, the determining whether there is abnormal target data in the current basic data includes:

[0014] Obtain the judgment threshold corresponding to each basic data, and judge whether the current basic data is within the corresponding judgment threshold. If it is within the judgment threshold, no processing is performed;

[0015] If it is not within the judgment threshold, the current basic data is marked, saved as target data, and the target data is transmitted.

[0016] Preferably, the transmission of the target data includes:

[0017] Obtain the remaining available capacity of the current transmission channel, and obtain the total size of the current target data to be transmitted, and determine whether the total size of the current target data is less than the remaining available capacity;

[0018] If it is less than, the target data will be sent all at once; if it is not less than, all current target data will be sent in batches.

[0019] Preferably, the sending in batches includes:

[0020] Get the difference between the current target data and the remaining available capacity;

[0021] Determine whether the difference exceeds N times the remaining available capacity. If not, send the target data in batches with each batch being equal to one-2Nth of the remaining available capacity, where N is greater than or equal to 1.

[0022] If it exceeds N times but is less than 2N times, the target data is sent in batches with each batch being equal to one-Nth of the remaining available capacity;

[0023] If it is not less than 2N times, the target data will be sent in batches with each batch being equal to the remaining available capacity.

[0024] Preferably, obtaining the abnormality rate of the current target data according to the target data and the judgment threshold of the target data includes:

[0025] Determine whether the current target data is less than the judgment threshold or greater than the maximum value of the judgment threshold;

[0026] If the current target data is less than the minimum value of the judgment threshold, the abnormality rate is:

[0027]

[0028] If the current target data is greater than the maximum value of the judgment threshold, the abnormality rate is:

[0029]

[0030] In the formula, η is the abnormality rate, X is the target data, X max is the maximum value of the judgment threshold, X min is the minimum value of the judgment threshold.

[0031] Preferably, the abnormality rate evaluation model includes:

[0032]

[0033] In the formula, G s is the evaluation value, N is the number of target data, N x is the number of basic data, η n is the abnormality rate of the nth target data;

[0034] When the evaluation value is greater than the evaluation value threshold, output the first control signal instruction.

[0035] Preferably, the duration for which the stack needs to be monitored output through the evaluation value includes:

[0036]

[0037] In the formula, T is the duration to be monitored, and T0 is the initial monitoring duration.

[0038] In a second aspect, the present invention also provides a control system for a vanadium redox flow battery energy storage system, including:

[0039] A data analysis module, configured to obtain the basic data of the current stack, and determine whether there is abnormal target data in the current basic data. If it is normal, continue to monitor. If it is not normal, obtain the current abnormal target data; obtain a number of target data and the corresponding judgment thresholds of the target data, and obtain the abnormality rate of the current target data according to the target data and the judgment thresholds of the target data;

[0040] An instruction output module, configured to establish an abnormal rate evaluation model and set an evaluation value threshold, obtain an evaluation value through the abnormal rate evaluation model, and determine whether to output an instruction of a first control signal by comparing the evaluation value with the evaluation value threshold; the first control signal includes determining whether there is temperature data and electrolyte flow data in the current target data. If not, only send an alarm signal and the target data to the control terminal; if so, send an alarm signal and the target data to the control terminal, and at the same time send the monitoring data of the current stack, and output the monitoring duration required for the stack through the evaluation value.

[0041] A main control module, connected to the data analysis module and the instruction output module, is used to execute the above-mentioned control method for a vanadium redox flow battery energy storage system.

[0042] In a third aspect, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the above-mentioned control method for a vanadium redox flow battery energy storage system when executing the computer program.

[0043] In a fourth aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and the computer program implements the above-mentioned control method for a vanadium redox flow battery energy storage system when executed by a processor.

[0044] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0045] Adopting the above method provided by the present invention mainly includes obtaining a number of target data and the corresponding judgment threshold of the target data, obtaining the abnormal rate of the current target data according to the target data and the judgment threshold of the target data; establishing an abnormal rate evaluation model and setting an evaluation value threshold, obtaining an evaluation value through the abnormal rate evaluation model, and determining whether to output an instruction of a first control signal by comparing the evaluation value with the evaluation value threshold. Through the above method, further analysis of abnormal data is carried out, and further alarms are made based on the analysis results of abnormal target data, and according to the analysis results, the required monitoring duration is controlled. On the one hand, a rotating monitor can be installed, and special monitoring equipment does not need to be used to monitor the stack, saving costs. On the other hand, a reasonable control of the monitoring duration of the stack is also given to the rotating monitoring equipment to avoid other places not being monitored. Description of the Drawings

[0046] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can be obtained based on these drawings.

[0047] Figure 1 is a schematic flow diagram of the present invention;

[0048] Figure 2 is a schematic structural diagram of the system of the present invention. Specific embodiments

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the accompanying drawings here can be arranged and designed in various different configurations.

[0050] The division of modules in this application is a logical division. In actual implementation, there can be other division methods. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the connections, couplings, or communications in this application can be direct connections, couplings, or communications between associated objects, or indirect connections, couplings, or communications through other devices. In addition, the connections, couplings, or communications between objects can be electrical or other similar forms, which are not limited in this application.

[0051] The independently described modules or sub-modules can be physically separated or not: they can be implemented in software or in hardware, and some modules or sub-modules can be implemented in software and the functions of these modules or sub-modules are called by the processor, and other parts of the modules or sub-modules are implemented in hardware, such as through a hardware circuit. In addition, some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application.

[0052] Please refer to Figure 1 - Figure 2 , a control method for a vanadium flow battery energy storage system, including:

[0053] S101: Obtain the basic data of the current stack and determine whether there is abnormal target data in the current basic data. If it is normal, continue monitoring; if it is not normal, obtain the current abnormal target data;

[0054] The basic data of the vanadium flow battery mainly include the electrode voltage, which reflects the charge and discharge state of the battery and ensures that the voltage is within a safe range (usually 1.0 - 1.7V); the current, which monitors the charge and discharge rate to avoid damage caused by overcurrent; the battery state, which evaluates the remaining capacity of the battery to guide energy scheduling and management; the battery health state, which evaluates the usage condition and remaining life of the battery, the temperature, which ensures that the temperature is within a safe range (usually 20 - 40°C), as too high or too low temperature may lead to performance degradation or damage; the electrolyte state, the vanadium ion concentration (the concentration ratio of VO 2 + and VO 3 +); the pH value of the electrolyte.

[0055] S102: Obtain a number of target data and the corresponding judgment thresholds for the target data, and obtain the abnormality rate of the current target data based on the target data and the judgment thresholds for the target data;

[0056] In this field, to determine whether a certain data is abnormal data, it is generally determined by the judgment threshold set for this data. The judgment threshold is generally a value range with a maximum value and a minimum value. If it exceeds this range, it is determined as abnormal.

[0057] S103: Establish an abnormality rate evaluation model and set an evaluation value threshold, obtain an evaluation value through the abnormality rate evaluation model, and determine whether to output an instruction for the first control signal by comparing the evaluation value with the evaluation value threshold;

[0058] Through the above method, the target data is analyzed, avoiding overly frequent error reporting, which makes it impossible for the staff to find the key points. Through the above method, it can be understood that the data is screened once, and the more serious data is screened out for error reporting.

[0059] S104: The first control signal includes determining whether there is temperature data and electrolyte flow rate data in the current target data. If not, only send an alarm signal and the target data to the control terminal;

[0060] In this solution, abnormalities in temperature and electrolyte flow rate data may both cause appearance damage or be caused by appearance damage. For example, abnormal temperature may cause the stack to crack, and a decrease in electrolyte flow rate may be caused by appearance damage. Therefore, reasonable control instructions need to be output to the monitoring device.

[0061] S105: If there is, send an alarm signal and the target data to the control terminal, and at the same time send the monitoring data of the current stack, and output the monitoring duration required for the stack through the evaluation value.

[0062] Adopting the above method provided by the present invention mainly includes obtaining a number of target data and the corresponding judgment thresholds of the target data, obtaining the abnormality rate of the current target data according to the target data and the judgment thresholds of the target data; establishing an abnormality rate evaluation model and setting an evaluation value threshold, obtaining an evaluation value through the abnormality rate evaluation model, and judging whether to output an instruction of the first control signal by comparing the evaluation value with the evaluation value threshold. Through the above method, further analysis is carried out on abnormal data, further alarming is carried out based on the analysis results of the abnormal target data, and according to the analysis results, the required monitoring duration is controlled. On the one hand, a rotating monitoring can be installed, and special monitoring equipment does not need to be used to monitor the stack, saving costs. On the other hand, a reasonable control of the monitoring duration of the stack is also given to the rotating monitoring equipment to avoid other places not being monitored.

[0063] In an exemplary embodiment of the present invention, determining whether there is abnormal target data in the current basic data includes:

[0064] Obtaining the judgment threshold corresponding to each type of basic data, and judging whether the current several types of basic data are within the corresponding judgment thresholds. If they are within the judgment thresholds, no processing is performed;

[0065] If not within the judgment thresholds, mark the current basic data, save it as target data, and transmit the target data.

[0066] In this embodiment, the target data needs to be processed and transmitted to different calculation modules, so there may be a problem of causing system congestion, so this embodiment solves the above problem.

[0067] Specifically, the transmission of the target data includes:

[0068] Obtaining the remaining available capacity size of the current transmission channel, and obtaining the total size of the current target data to be transmitted, and judging whether the total size of the current target data is less than the remaining available capacity size;

[0069] If it is less, the target data is sent in one go. If not, all the current target data is sent in batches.

[0070] Sending in batches includes:

[0071] Obtaining the difference between the current target data and the remaining available capacity size;

[0072] Judging whether the difference exceeds N times the remaining available capacity size. If it does not exceed N times, the target data is sent in batches at a size equal to one over 2N of the remaining available capacity size each time, where N is greater than or equal to 1;

[0073] If it exceeds N times but is less than 2N times, the target data is sent in batches, each batch being equal to one Nth of the remaining available capacity.

[0074] If it is not less than 2N times, the target data is sent in batches, each batch being equal to the remaining available capacity.

[0075] Through the above method, batch transmission avoids problems such as network latency, packet loss, or failure caused by one-time transmission of a large amount of data. Especially in an environment with limited or unstable network bandwidth, it can significantly improve the reliability of transmission.

[0076] One-time transmission of a large amount of data may cause a large amount of memory or bandwidth resources at the receiving end to be occupied. Batch transmission can better balance resource consumption, reduce system load, and improve transmission efficiency. If there is a problem (such as loss or damage) with a certain batch of data during the transmission process, only that batch of data needs to be retransmitted, without affecting the completion of the entire transmission task.

[0077] It can more flexibly adapt to different bandwidth environments, avoiding bandwidth waste or excessive occupation caused by one-time transmission of a large amount of data. The receiving end can start processing some data during the arrival of the data, reducing the time to wait for all data to arrive and improving the overall processing efficiency.

[0078] In an exemplary embodiment of the present invention, obtaining the abnormality rate of the current target data according to the target data and the judgment threshold of the target data includes:

[0079] Judging whether the current target data is less than the judgment threshold or greater than the maximum value of the judgment threshold;

[0080] If the current target data is less than the minimum value of the judgment threshold, the abnormality rate is:

[0081]

[0082] If the current target data is greater than the maximum value of the judgment threshold, the abnormality rate is:

[0083]

[0084] In the formula, η is the abnormality rate, X is the target data, X max is the maximum value of the judgment threshold, X min is the minimum value of the judgment threshold.

[0085] Specifically, the abnormality rate evaluation model includes:

[0086]

[0087] In the formula, G s is the evaluation value, N is the number of target data, N xThe number of basic data, η n is the abnormality rate of the nth target data;

[0088] When the evaluation value is greater than the evaluation value threshold, output the first control signal instruction.

[0089] In this embodiment, the threshold can be set to 50%.

[0090] An exemplary implementation manner of the present invention, the duration for which the stack needs to be monitored by outputting the evaluation value includes:

[0091]

[0092] In the formula, T is the duration to be monitored, and T0 is the initial monitoring duration.

[0093] The present invention also provides a control system for a vanadium redox flow battery energy storage system, including:

[0094] A data analysis module, configured to obtain the basic data of the current stack, and determine whether there is abnormal target data in the current basic data. If it is normal, continue to monitor; if it is not normal, obtain the currently existing abnormal target data; obtain a number of target data and the corresponding judgment thresholds of the target data, and obtain the abnormality rate of the current target data according to the target data and the judgment thresholds of the target data;

[0095] An instruction output module, configured to establish an abnormality rate evaluation model and set an evaluation value threshold, obtain an evaluation value through the abnormality rate evaluation model, and determine whether to output an instruction of the first control signal by comparing the evaluation value with the evaluation value threshold; the first control signal includes determining whether there is temperature data and electrolyte flow data in the current target data. If not, only send an alarm signal and the target data to the control terminal; if so, send an alarm signal and the target data to the control terminal, and at the same time send the monitoring data of the current stack, and output the duration for which the stack needs to be monitored through the evaluation value;

[0096] A main control module, connected to the data analysis module and the instruction output module, is used to execute the control method of a vanadium redox flow battery energy storage system as described in the above claims.

[0097] In addition, in each embodiment of the present invention, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0098] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0099] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention may have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A control method for a vanadium liquid battery stack energy storage system, characterized in that: include: Obtain the basic data of the current battery stack and determine whether there is abnormal target data in the current basic data. If it is normal, continue monitoring; if it is abnormal, obtain the current abnormal target data; Obtaining a number of target data and the judgment thresholds corresponding to the target data, and obtaining the abnormality rate of the current target data according to the target data and the judgment thresholds of the target data; Establishing an abnormality rate evaluation model and setting an evaluation value threshold, obtaining an evaluation value through the abnormality rate evaluation model, and comparing the evaluation value with the evaluation value threshold to determine whether to output an instruction of the first control signal; The first control signal includes determining whether the current target data includes temperature data and electrolyte flow data, and if not, only sending an alarm signal and target data to the control terminal; If yes, an alarm signal and target data are sent to the control terminal, and the monitoring data of the current fuel cell stack is sent at the same time, and the duration for which the fuel cell stack is to be monitored is output through the evaluation value.

2. A vanadium liquid battery stack energy storage system control method according to claim 1, characterized in that: The step of judging whether there is abnormal target data in the current basic data includes: Obtain the judgment threshold corresponding to each basic data, and judge whether the current basic data is within the corresponding judgment threshold. If it is within the judgment threshold, no processing is performed; If it is not within the judgment threshold, the current basic data is marked, saved as target data, and the target data is transmitted.

3. A vanadium liquid battery stack energy storage system control method according to claim 2, characterized in that: The transmission of target data includes: Obtain the remaining available capacity of the current transmission channel, and obtain the total size of the current target data to be transmitted, and determine whether the total size of the current target data is less than the remaining available capacity; If it is less than, the target data will be sent at one time; if it is not less than, all current target data will be sent in batches.

4. A vanadium liquid battery stack energy storage system control method according to claim 3, characterized in that: The batch sending includes: Get the difference between the current target data and the remaining available capacity; Determine whether the difference exceeds N times the remaining available capacity. If not, send the target data in batches with each batch being equal to one-2Nth of the remaining available capacity, where N is greater than or equal to 1. If it exceeds N times but is less than 2N times, the target data is sent in batches with each batch being equal to one-Nth of the remaining available capacity; If it is not less than 2N times, the target data will be sent in batches with each batch being equal to the remaining available capacity.

5. A vanadium liquid battery stack energy storage system control method according to claim 4, characterized in that: The abnormality rate of the current target data obtained according to the target data and the judgment threshold of the target data includes: Determine whether the current target data is less than the judgment threshold or greater than the maximum value of the judgment threshold; If the current target data is less than the minimum value of the judgment threshold, the abnormality rate is: If the current target data is greater than the maximum value of the judgment threshold, the abnormal rate is: In the formula, η is the abnormal rate, x is the target data, and x max is the maximum value of the judgment threshold, x min is the minimum value of the judgment threshold.

6. A vanadium liquid battery stack energy storage system control method according to claim 1, characterized in that: The abnormality rate evaluation model includes: In the formula, G s is the evaluation value, N is the number of target data, N x is the number of basic data, η n is the abnormal rate of the nth target data; When the evaluation value is greater than the evaluation value threshold, a first control signal instruction is output.

7. A vanadium liquid battery stack energy storage system control method according to claim 6, characterized in that: The duration of the battery stack to be monitored by outputting the evaluation value includes: Where T is the duration to be monitored, and T0 is the initial monitoring duration.

8. A vanadium liquid battery stack energy storage system control system, characterized in that: include: The data analysis module is configured to obtain the basic data of the current battery stack and determine whether there is abnormal target data in the current basic data. If it is normal, continue monitoring; if it is abnormal, obtain the current abnormal target data; Obtaining a number of target data and the judgment thresholds corresponding to the target data, and obtaining the abnormality rate of the current target data according to the target data and the judgment thresholds of the target data; The instruction output module is configured to establish an abnormality rate evaluation model and set an evaluation value threshold, obtain an evaluation value through the abnormality rate evaluation model, and judge whether to output an instruction of a first control signal by comparing the evaluation value with the evaluation value threshold; the first control signal includes judging whether there is temperature data and electrolyte flow data in the current target data, if not, only sending an alarm signal and target data to the control terminal; if yes, sending an alarm signal and target data to the control terminal, and at the same time sending the monitoring data of the current battery stack, and outputting the duration for which the battery stack is to be monitored through the evaluation value; A main control module is connected to the data analysis module and the instruction output module, and is used to execute a vanadium liquid battery stack energy storage system control method as described in any one of claims 1-7.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, a vanadium liquid battery stack energy storage system control method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, a vanadium liquid battery stack energy storage system control method according to any one of claims 1 to 7 is implemented.

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