Industrial control module based on self-recovery piezoresistor

Abstract

The invention relates to the technical field of industrial control, in particular to an industrial control module based on a self-recovery piezoresistor, in a photovoltaic power station, a photovoltaic power generation system converts light energy into electric energy, and the electric energy output by the photovoltaic power generation system is converted into chemical energy through a photovoltaic energy storage unit to be stored. Under the visual operation of the man-machine interaction unit, the operation state of each photovoltaic energy storage unit is measured and calculated through the energy storage management system and the energy allocation system, and the photovoltaic energy storage units and the load unit are adaptively allocated based on the measured and calculated data, so that the power supply requirement of the load unit is met, and the power supply efficiency of the load unit is improved. The self-recovery voltage dependent resistor is connected between the photovoltaic energy storage unit and the load unit, the load unit is connected with the self-recovery voltage dependent resistor in parallel, voltage floating of instantaneous connection is stabilized through the self-recovery voltage dependent resistor, stable output of circuit voltage is guaranteed, and safety of intelligent production of a factory is improved.

Description

Technical Field

[0001] The present invention relates to the field of industrial control technology, and more specifically, to an industrial control module based on a self-recovering varistor. Background Art

[0002] Industrial control refers to the technology and methods for monitoring, adjusting and managing various equipment and production processes during industrial production and manufacturing.

[0003] Many industrial productions are gradually turning to photovoltaic power generation to meet their power supply needs. This practice is usually achieved by installing photovoltaic power stations on the roofs of factories to convert light energy into electricity to meet the production needs. This shift not only helps reduce carbon emissions, but also improves energy sustainability. Therefore, the management and deployment of photovoltaic new energy will become an important part of industrial control management.

[0004] When photovoltaic power generation is continuously supplying electricity, in order to meet the production needs of the factory, a large number of energy storage devices are usually equipped. The photovoltaic power generation is stored through the energy storage devices, and then centrally allocated to meet the electricity needs of various production workshops and daily life in the factory. In addition, due to the long-term charging and discharging process of the energy storage equipment, it is not only easy to reduce the energy conversion efficiency of the energy storage equipment, but also very easy to generate high temperature, resulting in safety hazards of the energy storage equipment. Therefore, each energy storage device needs to be centrally allocated. On the one hand, the allocation process can continuously provide the electricity needs of various production workshops and daily life in a timely manner. On the other hand, each energy storage device can be centrally managed, and intermittent alternating operations can be completed under reasonable allocation.

[0005] However, due to the frequent alternation between various energy storage devices, the circuit voltage is unstable and may even cause load instability. Therefore, it is urgent to use a set of industrial control to adaptively adjust it and ensure the intelligent production of the factory. Summary of the invention

[0006] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide an industrial control module based on a self-healing varistor, which has the advantages of intelligently allocating electricity, ensuring the stable output of circuit voltage and improving the safety of intelligent production in factories.

[0007] The above technical objectives of the present invention are achieved through the following technical solutions: an industrial control module based on a self-recovering varistor, comprising: Human-computer interaction unit, used for operators to perform visual operations; Photovoltaic energy storage unit, which converts the electrical energy output by the photovoltaic power generation system into chemical energy for storage; Load cells, devices used in factories to consume electricity; The energy storage management system measures the operating status of each photovoltaic energy storage unit, including the remaining capacity of the photovoltaic energy storage unit and the health status of the photovoltaic energy storage unit; The energy allocation system adaptively allocates the photovoltaic energy storage unit and the load unit based on the data of the operation status of the photovoltaic energy storage unit calculated by the energy storage management system, and connects the photovoltaic energy storage unit and the load unit by setting a self-recovering varistor, the load unit is connected in parallel with the self-recovering varistor, and the voltage floating of the instantaneous connection is stabilized by the self-recovering varistor.

[0008] Preferably, a method for calculating the remaining capacity of electric energy of a single photovoltaic energy storage unit; Acquire the power consumption data of the load unit through the power loss data acquisition module, and transmit the acquired power consumption data to the data storage module; Acquire the electric energy charging data of the photovoltaic energy storage unit through the electric energy charging data acquisition module, and transmit the acquired electric energy charging data to the data storage module; Based on the power loss of a single photovoltaic energy storage unit, the remaining power capacity can be calculated through the power charging data and power consumption data of the photovoltaic energy storage unit.

[0009] Preferably, the energy allocation system is set with a minimum operating safety threshold and a maximum start-stop safety threshold for setting the remaining electric energy capacity. When the remaining electric energy capacity of the photovoltaic energy storage unit is lower than the maximum start-stop safety threshold, the energy allocation system immediately deactivates the photovoltaic energy storage unit and electrically connects the load unit to another photovoltaic energy storage unit. When the remaining electric energy capacity of the photovoltaic energy storage unit is higher than the minimum operating safety threshold, the energy allocation system marks the photovoltaic energy storage unit as a backup option for allocating electric energy supply.

[0010] Preferably, the energy allocation system is set with a parameter safety threshold for setting the health status of the photovoltaic energy storage unit. When the energy storage management system calculates that the parameter safety threshold of the health status of the photovoltaic energy storage unit electrically connected to the load unit is exceeded, the energy allocation system replaces the photovoltaic energy storage unit.

[0011] Preferably, an energy storage network is constructed by a plurality of the photovoltaic energy storage units, real-time monitoring is performed through an energy storage management system, and priority charging / discharging selection is established for the photovoltaic energy storage units based on the coordination of the energy coordination system; The energy allocation system counts the charging time and discharging time of each photovoltaic energy storage unit, and among the backup options of multiple photovoltaic energy storage units, establishes a priority call for the energy allocation system to allocate the photovoltaic energy storage units according to the charging time and discharging time of the photovoltaic energy storage units.

[0012] Preferably, a life model of the photovoltaic energy storage unit is constructed based on statistical data of the charging current intensity and the discharging current intensity of the photovoltaic energy storage unit, and the life calculation formula of the photovoltaic energy storage unit is: ; Among them, L is the actual service life of the photovoltaic energy storage unit, L1 is the basic service life of the photovoltaic energy storage unit, C1 and C2 are the current intensities of charging and discharging, T is the temperature influence factor, and k1, k2, and k3 are constants; Priority is given to the actual lifespan of the photovoltaic energy storage units monitored in real time, and the photovoltaic energy storage units with longer actual lifespans are preferentially equipped through the energy allocation system.

[0013] Preferably, a life model of the photovoltaic energy storage unit is constructed based on statistical data of the charging time and discharging time of the photovoltaic energy storage unit, and the life calculation formula of the photovoltaic energy storage unit is: ; Where L is the actual service life of the photovoltaic energy storage unit, L2 is the basic service life of the photovoltaic energy storage unit, T1 is the charging time of the photovoltaic energy storage unit; T2 is the discharge time of the photovoltaic energy storage unit; I1 is the charging current of the photovoltaic energy storage unit; I1 is the discharge current of the photovoltaic energy storage unit; T3 is the ambient temperature charging cycle; K4, K5, K6, K7, K8, K9 are constants; Priority is given to the actual lifespan of the photovoltaic energy storage units monitored in real time, and the photovoltaic energy storage units with longer actual lifespans are preferentially equipped through the energy allocation system.

[0014] Preferably, the next level of priority selection is established based on the multiple life calculation formulas of the photovoltaic energy storage unit, and the photovoltaic energy storage unit calculated under the multiple life calculation formulas has the shorter calculated life time as the actual life time of the photovoltaic energy storage unit.

[0015] In summary, the present invention has the beneficial effects: in a photovoltaic power station, the photovoltaic power generation system converts light energy into electrical energy, and the photovoltaic power generation system outputs electrical energy that is converted into chemical energy for storage through a photovoltaic energy storage unit; under the visual operation of a human-computer interaction unit, the operating status of each photovoltaic energy storage unit is measured by an energy storage management system and an energy allocation system; based on the measured data, the photovoltaic energy storage unit and the load unit are adaptively allocated to meet the power supply demand of the load unit; at the same time, a self-recovering varistor is provided between the photovoltaic energy storage unit and the load unit, the load unit is connected in parallel with the self-recovering varistor, and the voltage floating of the instantaneous connection is stabilized by the self-recovering varistor, thereby ensuring the stable output of the circuit voltage and improving the safety of the intelligent production of the factory. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a schematic diagram of electrical connections of an embodiment of the present invention; Figure 2 Schematic diagram of the circuit connection of the self-recovery varistor according to the embodiment of the present invention.

[0017] Figure numerals: 11. load unit; 12. photovoltaic energy storage unit; 13. energy storage management system; 14. energy allocation system; 15. power loss data acquisition module; 16. power charging data acquisition module; 2. varistor; 21. fuse. DETAILED DESCRIPTION

[0018] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] It should be noted that when a component is referred to as being "fixed to" or "disposed on" another component, it can be directly on the other component or indirectly on the other component. When a component is referred to as being "connected to" another component, it can be directly or indirectly connected to the other component.

[0020] It should be understood that the orientation or position relationship indicated by terms such as "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0021] 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. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0022] An industrial control module based on self-recovery varistor, see Figure 1 and Figure 2 ,include: Human-computer interaction unit, used for operators to perform visual operations; The photovoltaic energy storage unit 12 converts the electrical energy output by the photovoltaic power generation system into chemical energy for storage; Load unit 11, a device used in the factory to consume electricity; The energy storage management system 13 measures the operating status of a single photovoltaic energy storage unit 12, including the remaining capacity of the photovoltaic energy storage unit 12 and the health status of the photovoltaic energy storage unit 12; The energy allocation system 14, based on the data of the operation status of the photovoltaic energy storage unit 12 calculated by the energy storage management system 13, will adaptively allocate the photovoltaic energy storage unit 12 and the load unit 11, and connect a self-recovering varistor between the photovoltaic energy storage unit 12 and the load unit 11, and the load unit 11 is connected in parallel with the self-recovering varistor, so as to stabilize the instantaneous connection voltage floating through the self-recovering varistor.

[0023] When this embodiment is implemented, in the photovoltaic power station, the photovoltaic power generation system converts light energy into electrical energy, and the photovoltaic power generation system output electrical energy is converted into chemical energy for storage through the photovoltaic energy storage unit 12. Under the visual operation of the human-computer interaction unit, the operation status of each photovoltaic energy storage unit 12 is measured by the energy storage management system 13 and the energy allocation system 14, and the photovoltaic energy storage unit 12 and the load unit 11 are adaptively allocated based on the measured data to meet the power supply demand of the load unit 11. At the same time, a self-recovering varistor is connected between the photovoltaic energy storage unit 12 and the load unit 11, and the load unit 11 is connected in parallel with the self-recovering varistor. The self-recovering varistor stabilizes the instantaneous connection voltage floating, ensures the stability of the circuit voltage output, and improves the safety of factory intelligent production.

[0024] The human-computer interaction unit is used for operators to perform visual operations. The human-computer interaction module is based on a display screen to realize visual operations, including manual input of instructions and control program planning. During the operation of the load unit 11, intelligent operation management can be realized through the human-computer interaction module in combination with the energy storage management system 13 and the energy allocation system 14.

[0025] The self-recovering varistor is electrically connected in series by a varistor 2 and a fuse 21; when subjected to overvoltage or overcurrent, the self-recovering varistor will temporarily reduce its conduction capacity to protect the circuit, and after the overvoltage disappears, it can automatically return to a normal state, so there is no need for manual replacement or resetting.

[0026] The load unit 11 includes electrical equipment for lighting in a factory building, electricity for machine production equipment, etc.

[0027] The photovoltaic energy storage unit 12 converts the electrical energy output by the photovoltaic power generation system into chemical energy for storage. The photovoltaic energy storage unit 12 of this embodiment selects a lithium iron phosphate battery. The lithium iron phosphate battery has a high energy density, a moderate cost, and has advantages in terms of safety and service life. Its advantages are more prominent in the field of energy storage.

[0028] Energy Management System, also called EMS, is an intelligent system integrating software and hardware to monitor, control and optimize energy flow and energy consumption in energy systems.

[0029] Based on data collection, analysis and decision support technology, it can monitor the operating status of energy equipment, energy consumption and environmental conditions in real time, thereby achieving efficient management and optimization of energy.

[0030] Based on the energy storage management system 13 , the operating status of a single photovoltaic energy storage unit 12 is measured, and in combination with the energy management system, each photovoltaic energy storage unit 12 and each load unit 11 is adaptively adjusted.

[0031] Specifically, the energy storage management system 13 includes the calculation of the remaining capacity of the electric energy of a single photovoltaic energy storage unit 12, and the calculation method is: Acquire the power consumption data of the load unit 11 through the power loss data acquisition module 15, and transmit the acquired power consumption data to the data storage module; Acquire the electric energy charging data of the photovoltaic energy storage unit 12 through the electric energy charging data acquisition module 16, and transmit the acquired electric energy charging data to the data storage module; Based on the power loss of a single photovoltaic energy storage unit 12, the remaining power capacity can be calculated through the power charging data and power consumption data of the photovoltaic energy storage unit 12.

[0032] When the remaining electric energy capacity is known, the minimum operating safety threshold and the maximum start-stop safety threshold of the remaining electric energy capacity are set based on the energy allocation system 14. For example, the minimum operating safety threshold is 40% of the rated capacitance of a single photovoltaic energy storage unit 12; the maximum start-stop safety threshold is 10% of the rated capacitance of a single photovoltaic energy storage unit 12.

[0033] When the remaining electric energy capacity of the photovoltaic energy storage unit 12 is 6% of the rated capacitance of the photovoltaic energy storage unit 12 , the energy allocation system 14 immediately deactivates the photovoltaic energy storage unit 12 and electrically connects the load unit 11 to another photovoltaic energy storage unit 12 .

[0034] When the remaining electric energy capacity of the photovoltaic energy storage unit 12 is 60% of the rated capacitance of the photovoltaic energy storage unit 12 , the energy allocation system 14 marks the photovoltaic energy storage unit 12 as a backup option or a direct option for allocating electric energy supply.

[0035] Since the photovoltaic energy storage unit 12 is continuously in the process of charging and discharging, the temperature of the photovoltaic energy storage unit 12 continues to rise. Excessive temperature will, in turn, further affect the efficiency of charging and discharging, and even cause damage to the photovoltaic energy storage unit 12. For this reason, a parameter safety threshold of the health status of the photovoltaic energy storage unit 12 is set in the energy allocation system 14. When the energy storage management system 13 calculates that the parameter safety threshold of the health status of the photovoltaic energy storage unit 12 electrically connected to the load unit 11 is exceeded, the energy allocation system 14 replaces the photovoltaic energy storage unit 12, so that multiple photovoltaic energy storage units 12 can be operated in rotation to ensure electricity safety.

[0036] Specifically, a storage network is constructed by using a plurality of the photovoltaic energy storage units 12, each photovoltaic energy storage unit 12 is monitored in real time by the energy storage management system 13, and priority charging / discharging selection is established for the photovoltaic energy storage unit 12 based on the coordination of the energy coordination system 14; The energy allocation system 14 counts the charging time and discharging time of each of the photovoltaic energy storage units 12, and among the backup options of multiple photovoltaic energy storage units 12, establishes a priority call for the energy allocation system 14 to allocate the photovoltaic energy storage units 12 according to the charging time and discharging time of the photovoltaic energy storage units 12.

[0037] By establishing a priority call, priority is placed on a plurality of photovoltaic energy storage units 12 for alternative selection. Since the longer the charging time and the longer the discharging time of the photovoltaic energy storage unit 12, the greater the loss of the photovoltaic energy storage unit 12, the problem of loss will be followed by the problem of the efficiency of the charging time and the discharging time and the conversion rate of electric energy.

[0038] To this end, a life model of the photovoltaic energy storage unit 12 is constructed based on the statistical data of the charging current intensity and the discharging current intensity of the photovoltaic energy storage unit 12. The life calculation formula of the photovoltaic energy storage unit 12 is: ; Wherein L is the actual service life of the photovoltaic energy storage unit 12, L1 is the basic service life of the photovoltaic energy storage unit 12, C1 and C2 are the current intensities of charging and discharging, respectively, T is the temperature influence factor, and k1, k2, and k3 are constants; The basic life of the L1 photovoltaic energy storage unit 12 is known. The charging and discharging current intensity and the operating temperature of the photovoltaic energy storage unit 12 are collected by the power loss data acquisition module 15 and the power charging data acquisition module 16, and then based on a limited number of experiments, the values ​​of k1, k2, and k3 are calculated to establish a life model of the photovoltaic energy storage unit 12, and the life of the photovoltaic energy storage unit 12 is monitored in real time.

[0039] Among the multiple photovoltaic energy storage units 12 selected as standby, the life spans of the multiple photovoltaic energy storage units 12 are compared to perform priority ranking P1, P2, ..., PN in sequence. N represents the number of the multiple photovoltaic energy storage units 12 selected as standby.

[0040] In addition, since the life of the photovoltaic energy storage unit 12 is affected by factors such as the ambient temperature and the charging / discharging time of the photovoltaic energy storage unit 12, and the charging current intensity and the discharging current intensity of the photovoltaic energy storage unit 12 are mostly instantaneous values, a life model of the photovoltaic energy storage unit 12 is constructed based on statistical data of the charging time and discharging time of the photovoltaic energy storage unit 12 to further verify the actual life of the photovoltaic energy storage unit 12.

[0041] Specifically, the life calculation formula of the photovoltaic energy storage unit 12 is: ; Wherein L is the actual service life of the photovoltaic energy storage unit 12, L2 is the basic service life of the photovoltaic energy storage unit 12, T1 is the charging time of the photovoltaic energy storage unit 12; T2 is the discharging time of the photovoltaic energy storage unit 12; I1 is the charging current of the photovoltaic energy storage unit 12; I1 is the discharging current of the photovoltaic energy storage unit 12; T3 is the ambient temperature charging cycle; K4, K5, K6, K7, K8, K9 are constants; Priority is given to the actual lifespan of the photovoltaic energy storage units 12 monitored in real time, and the energy allocation system 14 preferably configures photovoltaic energy storage units 12 with longer actual lifespans.

[0042] Based on the construction of the above two life models of the photovoltaic energy storage unit 12, the actual life calculated by the two life calculation formulas of the photovoltaic energy storage unit 12 are again prioritized and sorted at the next level. For example, the life model of the photovoltaic energy storage unit 12 is constructed according to the statistical data of the charging time and the discharging time of the photovoltaic energy storage unit 12, and the actual service life L is calculated; the life model of the photovoltaic energy storage unit 12 is constructed according to the statistical data of the charging current intensity and the discharging current intensity of the photovoltaic energy storage unit 12, and the actual service life L is calculated.

[0043] When Ltime is greater than Lstrong, the energy storage management system 13 records the life of the photovoltaic energy storage unit 12 as Lstrong.

[0044] When L hours is less than L strong hours, the energy storage management system 13 records the life of the photovoltaic energy storage unit 12 as L hours.

[0045] The next level of priority sorting of the actual life calculation data is set based on the previous level of priority sorting of the data monitoring based on the energy storage management system 13 calculating the operating status of the photovoltaic energy storage unit 12 .

[0046] The above embodiments are merely explanations of the present invention and are not limitations of the present invention. After reading this specification, those skilled in the art may make modifications to the embodiments without any creative contribution as needed. However, such modifications are protected by the patent law as long as they are within the scope of the claims of the present invention.

Claims

1. An industrial control module based on a self-recovering varistor, characterized by: include: Human-computer interaction unit, used for operators to perform visual operations; Photovoltaic energy storage unit, which converts the electrical energy output by the photovoltaic power generation system into chemical energy for storage; Load cells, devices used in factories to consume electricity; The energy storage management system measures the operating status of each photovoltaic energy storage unit, including the remaining capacity of the photovoltaic energy storage unit and the health status of the photovoltaic energy storage unit; The energy allocation system adaptively allocates the photovoltaic energy storage unit and the load unit based on the data of the operation status of the photovoltaic energy storage unit calculated by the energy storage management system, and connects the photovoltaic energy storage unit and the load unit by setting a self-recovering varistor, the load unit is connected in parallel with the self-recovering varistor, and the voltage floating of the instantaneous connection is stabilized by the self-recovering varistor.

2. The industrial control module based on the self-healing varistor according to claim 1 is characterized in that: A method for calculating the remaining capacity of electric energy of a single photovoltaic energy storage unit; Acquire the power consumption data of the load unit through the power loss data acquisition module, and transmit the acquired power consumption data to the data storage module; Acquire the electric energy charging data of the photovoltaic energy storage unit through the electric energy charging data acquisition module, and transmit the acquired electric energy charging data to the data storage module; Based on the power loss of a single photovoltaic energy storage unit, the remaining power capacity can be calculated through the power charging data and power consumption data of the photovoltaic energy storage unit.

3. The industrial control module based on the self-healing varistor according to claim 2 is characterized in that: The energy allocation system is set with a minimum operating safety threshold and a maximum start-stop safety threshold of the remaining electric energy capacity. When the remaining electric energy capacity of the photovoltaic energy storage unit is lower than the maximum start-stop safety threshold, the energy allocation system immediately deactivates the photovoltaic energy storage unit and electrically connects the load unit to another photovoltaic energy storage unit. When the remaining electric energy capacity of the photovoltaic energy storage unit is higher than the minimum operating safety threshold, the energy allocation system marks the photovoltaic energy storage unit as a backup option for allocating electric energy supply.

4. The industrial control module based on the self-recovery varistor according to claim 3 is characterized in that: The energy allocation system is set with a parameter safety threshold for setting the health status of the photovoltaic energy storage unit. When the energy storage management system calculates that the parameter safety threshold of the health status of the photovoltaic energy storage unit electrically connected to the load unit is exceeded, the energy allocation system replaces the photovoltaic energy storage unit.

5. The industrial control module based on the self-recovery varistor according to claim 4 is characterized in that: An energy storage network is constructed by a plurality of the photovoltaic energy storage units, real-time monitoring is performed through an energy storage management system, and priority charging / discharging selection is established for the photovoltaic energy storage units based on the coordination of the energy coordination system; The energy allocation system counts the charging time and discharging time of each photovoltaic energy storage unit, and among the backup options of multiple photovoltaic energy storage units, establishes a priority call for the energy allocation system to allocate the photovoltaic energy storage units according to the charging time and discharging time of the photovoltaic energy storage units.

6. The industrial control module based on the self-recovery varistor according to claim 5 is characterized in that: The life model of the photovoltaic energy storage unit is constructed based on the statistical data of the charging current intensity and the discharging current intensity of the photovoltaic energy storage unit. The life calculation formula of the photovoltaic energy storage unit is: ; Among them, L is the actual service life of the photovoltaic energy storage unit, L1 is the basic life of the photovoltaic energy storage unit, C1 and C2 are the current intensities of charging and discharging, T is the temperature influence factor, and k1, k2, and k3 are constants; Priority is given to the actual lifespan of the photovoltaic energy storage units monitored in real time, and the photovoltaic energy storage units with longer actual lifespans are preferentially equipped through the energy allocation system.

7. The industrial control module based on the self-recovery varistor according to claim 6 is characterized in that: The life model of the photovoltaic energy storage unit is constructed based on the statistical data of the charging time and discharging time of the photovoltaic energy storage unit. The life calculation formula of the photovoltaic energy storage unit is: ; Where L is the actual service life of the photovoltaic energy storage unit, L2 is the basic service life of the photovoltaic energy storage unit, T1 is the charging time of the photovoltaic energy storage unit; T2 is the discharge time of the photovoltaic energy storage unit; I1 is the charging current of the photovoltaic energy storage unit; I1 is the discharge current of the photovoltaic energy storage unit; T3 is the ambient temperature charging cycle; K4, K5, K6, K7, K8, K9 are constants; Priority is given to the actual lifespan of the photovoltaic energy storage units monitored in real time, and the photovoltaic energy storage units with longer actual lifespans are preferentially equipped through the energy allocation system.

8. The industrial control module based on the self-recovery varistor according to claim 7 is characterized in that: The next level of priority selection is established based on the multiple life calculation formulas of the photovoltaic energy storage unit, and the photovoltaic energy storage unit calculated under the multiple life calculation formulas has the shorter calculated life time as the actual life time of the photovoltaic energy storage unit.

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