Protection setting dynamic setting method, device and equipment and storage medium

Abstract

The application discloses a kind of protection setting dynamic setting method, device equipment and storage medium, method includes: the heat distribution model in transformer is established, and the temperature rise characteristics of transformer is researched according to heat distribution model and thermal circuit differential equation;Temperature field simulation is carried out to transformer, the temperature rise of the hottest point of transformer distribution transformer winding and average temperature rise are calculated, and compared with the temperature rise of the hottest point of mineral oil distribution transformer winding and average temperature rise.The application solves the technical problems that the existing low-voltage total switch protection technology fails to effectively play the role of high overload capacity distribution transformer when setting to rated current value, and if the current value is too high, the high overload capacity distribution transformer cannot withstand the impact of long-time overload and is damaged.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of transformer overload current protection, and in particular to a protection setting value dynamic setting method, device and equipment and a storage medium. BACKGROUND

[0002] In recent years, electricity use in northern rural areas has shown seasonal characteristics. For example, during the Spring Festival, the electricity load surges, causing a large number of distribution transformers to be overloaded for a short time. In the summer high-temperature weather in the urban villages of southern cities, distribution transformers also experience sustained overload. The current distribution transformer protection device is overcurrent protection, and although the load current and tripping time can be adjusted, it still cannot meet the requirement of sustained overload of distribution transformers. In severe cases, it can cause the fuse to melt and even cause the insulation of the transformer to fail.

[0003] The existing low-voltage main switch protection setting for distribution transformers is overcurrent quick break and timed overcurrent protection. These technologies trip the switch when the current flowing through the low-voltage main switch exceeds the setting value to protect the transformer from being damaged by overload operation. However, high-overload-capacity distribution transformers are designed with sufficient consideration of transformer oil, making them inherently have a certain duration of overload capacity. The duration of normal operation under overload conditions decreases as the overload load increases. Therefore, using the existing low-voltage main switch protection technology with a rated current setting value cannot effectively utilize the high-overload-capacity distribution transformer. If the current setting value is too high, the high-overload-capacity distribution transformer cannot withstand the impact of long-term overload and will be damaged. SUMMARY

[0004] The present application provides a protection setting value dynamic setting method, device and equipment, and a storage medium, which solves the technical problem that the existing low-voltage main switch protection technology with a rated current setting value cannot effectively utilize the high-overload-capacity distribution transformer, and if the current setting value is too high, the high-overload-capacity distribution transformer cannot withstand the impact of long-term overload and will be damaged.

[0005] The first aspect of the present application provides a protection setting value dynamic setting method, comprising:

[0006] establishing a thermal distribution model of the transformer, and determining the temperature rise characteristics of the transformer according to the thermal distribution model and thermal circuit differential equations;

[0007] performing temperature field simulation on the transformer, calculating the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding, and comparing them with the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of mineral oil.

[0008] Optionally, establishing a heat distribution model inside the transformer and studying the temperature rise characteristics of the transformer based on the heat distribution model and the thermal circuit differential equation includes: studying the temperature rise characteristics of the transformer during actual operation when the load and ambient temperature of the transformer change.

[0009] Optionally, the heat distribution model includes a top oil temperature-ambient temperature model and a hot spot temperature-top oil temperature model.

[0010] Optionally, performing temperature field simulation on the transformer, calculating the temperature rise and average temperature rise of the hottest point of the distribution transformer winding of the transformer, and comparing them with the temperature rise and average temperature rise of the hottest point of the distribution transformer winding of mineral oil includes:

[0011] Performing temperature field simulation on the transformer under stable load using Fluent software to calculate the temperature rise and average temperature rise of the highest point of the transformer distribution winding, and comparing them with the temperature rise and average temperature rise of the hottest point of the distribution winding of mineral oil;

[0012] The temperature field distribution of the transformer is calculated based on a preset dynamic load curve and compared with that of a transformer using mineral oil.

[0013] A second aspect of the present application provides a protection setting value dynamic adjustment device, which is used to perform the protection setting value dynamic adjustment method described in the first aspect, including:

[0014] Control module, communication module, AC sampling module, winding temperature sampling module;

[0015] The communication module, the AC sampling module, and the winding temperature sampling module are all connected to the control module;

[0016] The communication module is used for data communication;

[0017] The AC sampling module is used to collect current, voltage or power factor data of the transformer;

[0018] The winding temperature sampling point is used to collect the winding temperature of the transformer.

[0019] Optionally, the control module is specifically a DSP mainboard, and the serial port of the DSP mainboard is connected to the communication module.

[0020] Optionally, the communication module includes a power communication dedicated network or a 4G communication unit.

[0021] Optionally, the AC sampling module includes a voltage transformer and a current transformer; the voltage transformer is used to collect three-phase voltage; and the current transformer is used to collect three-phase current.

[0022] The third aspect of the present application provides a protection setting dynamic setting device, the device comprising a processor and a memory:

[0023] The memory is used for storing program codes and transmitting the program codes to the processor;

[0024] The processor is used for executing the protection setting dynamic setting method according to the instructions in the program codes.

[0025] The fourth aspect of the present application provides a computer readable storage medium used for storing program codes, the program codes being used for executing the protection setting dynamic setting method.

[0026] From the above technical solutions, the present application has the following advantages:

[0027] In the present application, a protection setting dynamic setting method is provided, comprising:

[0028] A thermal distribution model of the transformer is established, and the temperature rise characteristics of the transformer are studied according to the thermal distribution model and thermal circuit differential equations;

[0029] The temperature field of the transformer is simulated, the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the transformer are calculated, and compared with the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the mineral oil.

[0030] The protection setting dynamic setting method provided by the present application can make the low-voltage general switch realize the protection function of approximate inverse-time overcurrent protection through system logic setting, and dynamically and adaptively adjust the protection logic according to the operating state of the transformer, so as to protect the transformer from burning out due to overload, and at the same time, the high overload capacity distribution transformer can withstand a certain overload current. The present application solves the technical problem that the existing low-voltage general switch protection technology cannot effectively utilize the high overload capacity distribution transformer when the setting current value is set to the rated current value, and the high overload capacity distribution transformer cannot withstand the impact of long-time overload and is damaged if the setting current value is too high. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 The flowchart of an embodiment of the protection setting dynamic setting method provided by the present application is shown;

[0032] Figure 2 The structure diagram of the top oil temperature-environmental temperature thermal circuit model of the protection setting dynamic setting method provided by the present application is shown;

[0033] Figure 3A schematic diagram of the hotspot temperature-top oil temperature thermal circuit model of a protection setting value dynamic adjustment method provided in this application;

[0034] Figure 4 A schematic diagram of the structure of a substation-based alarm device provided in this application;

[0035] Reference numerals: AC sampling module 10 ; winding temperature sampling module 20 ; control module 30 ; communication module 40 . DETAILED DESCRIPTION

[0036] In order to help those skilled in the art better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 those skilled in the art without creative work are within the scope of protection of this application.

[0037] In recent years, electricity consumption in rural areas of the north has shown seasonal characteristics. For example, during the Spring Festival, the electricity load surges, causing a large number of distribution transformers to be short-term overloaded. In urban villages in southern cities, distribution transformers will also experience continuous overload during high temperature weather in summer. In urban villages in southern cities, distribution transformers will also experience continuous overload during high temperature weather in summer. The current distribution transformer protection device is overcurrent protection. Although the load current and trip time can be adjusted, it still cannot meet the continuous overload requirements of the distribution transformer. In severe cases, it will cause the fuse to blow and even cause the transformer insulation to fail.

[0038] To effectively prevent distribution transformers from being overloaded during peak load periods, power supply companies have traditionally adopted capacity expansion measures, such as replacing larger distribution transformers. While these capacity expansions prevent transformer burnout due to short-term high-load overloads, they also result in low transformer loads during normal operation, failing to meet economical operating loads and increasing operating and maintenance costs. To control operating and maintenance costs, high-temperature insulating paper and high-flash-point mineral insulating oil are currently commonly used to improve transformer overload resistance. However, conventional mineral insulating oil contains polycyclic aromatic hydrocarbons (PAHs), which have a flash point of approximately 160°C. Mineral-insulated oil-based power transformers can catch fire or explode in the event of transformer overheating or internal short circuits. Conventional mineral insulating oil is flammable at high temperatures, acting as fuel and prolonging fires. The resulting smoke may contain toxic substances harmful to humans and other organisms. If the transformer tank ruptures, liquids may leak, contaminating soil or water and potentially damaging adjacent equipment.

[0039] Research has found that vegetable insulating oil has a higher dielectric constant than mineral oil, approaching that of insulating paper, and can increase its breakdown voltage by approximately 15%. Furthermore, its viscosity is lower than that of mineral oil, resulting in a coil with approximately 1.2 times the heat transfer efficiency of mineral oil. Furthermore, vegetable insulating oil is environmentally friendly, minimally impacting the environment, and harmless to humans. Its ignition point is above 200°C, making its use very safe. Due to its high breakdown voltage, high heat transfer efficiency, safety, and environmental friendliness, vegetable insulating oil can enable equipment to be smaller, lighter, and more environmentally friendly. Therefore, in oil-filled transformers, high-overload distribution applications may replace traditional mineral oil transformers and become the primary application for transformer insulating oil in the future. Currently, vegetable insulating oil has achieved successful engineering applications in distribution transformers and is gradually being adopted in large power transformers.

[0040] As a new type of insulation material for oil-immersed transformers, vegetable insulating oil has the characteristics of high ignition and flash points and short degradation time. With the development of technology, transformers using vegetable insulating oil have been widely put into operation. However, compared with traditional mineral oil, vegetable insulating oil has a higher thermal conductivity and viscosity, and the temperature rise characteristics of overload transformers are different, resulting in differences in the overload capacity of high-overload distribution transformers and traditional mineral oil transformers. When the overload capacity of an overload transformer conflicts with the sensitivity of overcurrent protection, it will cause the protection device to fail or malfunction. Therefore, it is necessary to re-analyze the inverse time characteristics of the relay protection of high-overload distribution transformers and re-modify the inverse time relay protection setting of high-overload distribution transformers. In this way, the high overload capacity of high-overload distribution transformers can be fully utilized and the high-overload distribution transformers can be reliably protected from high-temperature burns. This application studies the requirements for protection setting under the overload operation of distribution transformers and the differences between the relay protection setting of high-overload distribution transformers and traditional mineral oil transformers under normal operation and overload conditions. Based on the inverse time characteristics of high-overload distribution transformer protection under load changes, the relay protection settings of high-overload distribution transformers are dynamically and adaptively adjusted. This has important engineering practical significance for improving the operational reliability of high-overload distribution transformers.

[0041] The purpose of this application is to provide a method, device and storage medium for dynamic setting of protection settings, so that the low-voltage main switch can not only realize a protection function similar to inverse time overcurrent protection, but also dynamically and adaptively adjust the protection logic according to the operating status of the transformer to ensure that the transformer is not burned due to load exceeding its capacity, and at the same time can play the role of high overload capacity distribution transformer in bearing overload current.

[0042] The application provides a protection fixed value dynamic setting method, device and storage medium, and solves the technical problem that the existing low-voltage main switch protection technology cannot effectively play the role of high overload capacity distribution transformer when setting the rated current value, and the high overload capacity distribution transformer cannot withstand the impact of long-time overload if the setting current value is too high.

[0043] Referring to Figure 1-3 , Figure 1 An embodiment of the protection fixed value dynamic setting method provided by the application is shown in the flowchart; Figure 2 The structure diagram of the top oil temperature-environmental temperature thermal circuit model of the protection fixed value dynamic setting method provided by the application is shown in the structure diagram; Figure 3 The structure diagram of the hotspot temperature-top oil temperature thermal circuit model of the protection fixed value dynamic setting method provided by the application is shown in the structure diagram.

[0044] The first aspect of the embodiment of the application provides a protection fixed value dynamic setting method, comprising:

[0045] 100, a thermal distribution model of the transformer is established, and the temperature rise characteristics of the transformer are researched according to the thermal distribution model and a thermal circuit differential equation;

[0046] 200, the temperature field of the transformer is simulated, the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the transformer are calculated, and the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the mineral oil are compared.

[0047] It should be noted that the protection fixed value dynamic setting method provided by the embodiment of the application comprises the following steps: a three-dimensional simplified model of the transformer is first established, and the calculation method of the model is as follows: the heat sources of the transformer include core loss, coil loss and eddy current loss generated by the leakage magnetic field on the metal member, and the dielectric loss is also generated in the insulating materials such as paperboard and insulating oil. The coil loss and the core loss are the main heat sources of the transformer. The general process of reaching thermal equilibrium of the oil-immersed transformer is divided into three modes: one is that heat is transferred from the middle part of the core and winding of the transformer to the outer surface thereof through heat conduction; two is that heat is transferred from the middle part of the core and winding of the transformer to the transformer oil and the oil tank wall through convection heat exchange; three is that heat is transferred from the mailbox wall to the air through convection heat exchange and radiation heat dissipation. For the incompressible ideal fluid, the flow and distribution characteristics of the transformer oil in the mailbox meet the mass conservation law, the momentum conservation law and the energy conservation law. As shown in formula (1) to formula (3):

[0048]

[0049]

[0050]

[0051] In equations (1) to (3), ρ is the fluid density; v is the flow velocity; F is the external volume force; p is the pressure; μ is the dynamic viscosity; c is the specific heat capacity; T is the temperature; λ is the thermal conductivity; q is the volume heat, that is, the unit volume loss of the transformer core and winding; is a vector differential operator.

[0052] The transformer windings are then layered according to the oil channels. The heat-generating components of the transformer are primarily the high-voltage winding, low-voltage winding, and iron core. After setting the density, viscosity, specific heat capacity, and thermal conductivity of vegetable and mineral oils, these parameters can be input into the model for simulation and compared with the simulation results.

[0053] In response to the requirements for protection setting under overload operation of distribution transformers, a high-overload distribution transformer with high overload capacity is completed. Under normal operation and overload conditions, the difference between its relay setting value and the traditional one is taken into consideration, and the dynamic setting configuration of the protection setting is designed.

[0054] Based on the transformer's system parameters and wiring configuration, short-circuit current calculations are performed first, followed by relay protection settings calculations. Based on the calculation results, relay protection setting calculation personnel make appropriate adjustments and verifications, and then directly issue a relay protection setting notification based on the results. The maximum overload factor and normal overload factor of the highly overloaded distribution transformer are determined. For current quick-trip protection, the sensitivity coefficient for short circuits at the protected line outlet should be verified. Under normal operating conditions, commissioning is permitted when the sensitivity coefficient for three-phase short circuits is no less than 1. For delayed current quick-trip protection, the current setting should have a specified sensitivity coefficient for faults at the end of the line and should be coordinated with the measuring element settings of the adjacent line protection. The time setting should be adjusted accordingly. If both the current and voltage elements of the adjacent line current and voltage protection are used as measuring elements, the current setting of the delayed current quick-trip protection on this line should be coordinated with both the current and voltage settings of the adjacent line protection. When this protection is used on a dual-side power supply line without directional control, coordination with the back-side line protection should be considered.

[0055] Based on the temperature rise characteristics of high-overload distribution transformers, the normal overload capacity and the maximum possible overload current of the high-overload distribution transformer are determined. The impact of the high-overload distribution transformer's overload capacity on the inverse time characteristics of the high-overload distribution transformer's protection under load fluctuations is determined, and the relay protection settings of the high-overload distribution transformer are dynamically and adaptively adjusted. A neural network model optimized using a combined ant colony algorithm is used to address the relationship between the overload capacity and overcurrent protection sensitivity of the high-overload distribution transformer. Flexible overload protection settings are provided. If the time limit is considered, the high-voltage side overcurrent protection is adjusted to avoid the maximum possible overload current. If the inverse time limit is considered, the overcurrent setting is generally based on the normal overload capacity of the transformer. The inverse time constant is calculated and adjusted based on the normal overload capacity of the high-overload distribution transformer. The setting differences between the high-overload distribution transformer and the mineral oil transformer under overload conditions are compared.

[0056] Furthermore, a heat distribution model inside the transformer is established, and the temperature rise characteristics of the transformer are studied based on the heat distribution model and the thermal circuit differential equation, including: studying the temperature rise characteristics of the transformer during actual operation when the load and ambient temperature change.

[0057] It should be noted that if Figure 2 and Figure 3 As shown in the figure, a heat distribution model inside the transformer and a thermal circuit differential equation are established to study the temperature rise characteristics of the high overload distribution transformer in actual operation when its load and ambient temperature change.

[0058] The internal heat distribution model is established by referring to the thermoelectric analogy theory, where the current source q cu , respectively represent the copper loss and iron loss of the transformer, the voltage source θ top-oil ,θ amb Represent the transformer top oil temperature and external ambient temperature respectively, R wnd 、R oil are the thermal resistance of winding and insulating oil respectively, C wnd 、C oil are the heat capacities of the winding and insulating oil respectively, and the node voltage value is the hot spot temperature θ of the transformer hst .

[0059] Furthermore, the heat distribution model includes a top oil temperature-ambient temperature model and a hot spot temperature-top oil temperature model.

[0060] It should be noted that if Figure 2 and Figure 3 As shown, the heat distribution model is divided into two layers: one layer is as Figure 2 The top oil temperature-ambient temperature model shown; another layer as Figure 3The hotspot temperature-top oil temperature model is shown. In Figure (2), the ambient temperature is the input quantity of the model, the thermal resistance and the thermal capacity can be obtained by the transformer hot operation test data, the iron loss q fe and the copper loss q cu can also be obtained by measurement calculation, and are known quantities in the model. θ top-oil is the to-be-solved quantity, and can be obtained according to circuit theory as follows:

[0061]

[0062] In the formula, R oil,R is the rated thermal resistance of the insulating oil, n is the nonlinear relationship between the thermal resistance of the insulating oil and the temperature at both ends, and the value range is 0.8-1 according to different cooling modes. Let K be the load coefficient, β be the ratio of the load loss to the no-load loss, Δθ top-oil,R be the rated temperature of the top oil temperature and the ambient temperature, τ oil,R =R oil,R ·C oil be the rated time constant of the insulating oil, and the simplification can be obtained as follows:

[0063]

[0064] Solving the equation can obtain the to-be-solved quantity, that is, the top oil temperature θ top-oil .

[0065] The principles of thermal engineering and fluid mechanics can be applied to analyze the conduction heat and heat dissipation mechanism inside the transformer, and a heat transfer and temperature rise model of the transformer is built. The finite element method is used to solve the model, and the temperature field distribution under the load change is considered.

[0066] Further, the temperature field of the transformer is simulated, the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the transformer are calculated, and the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the mineral oil are compared, including:

[0067] The temperature field of the transformer under stable load is simulated by using the Fluent software, the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the transformer are calculated, and the temperature rise of the hottest point and the average temperature rise of the distribution transformer winding of the mineral oil are compared;

[0068] The temperature field distribution of the transformer is calculated based on a preset dynamic load curve, and is compared with the mineral oil transformer.

[0069] It should be noted that after establishing the transformer temperature rise model, Fluent software was used to simulate the temperature field of a high-overload distribution transformer under stable load. The temperature rise of the hottest point in the high-overload distribution transformer winding and the average temperature rise of the winding were calculated. These results were quantitatively compared with the hottest point and average temperature rise of a mineral oil distribution transformer winding. Based on a given dynamic load curve, the temperature field distribution of the high-overload distribution transformer was calculated and compared with that of a traditional mineral oil transformer.

[0070] See also Figure 4 , is a structural diagram of a protection fixed value dynamic adjustment device provided by this application;

[0071] A second aspect of the present application provides a protection setting value dynamic adjustment device, which is used to perform the protection setting value dynamic adjustment method of the above embodiment, including:

[0072] Control module 30, communication module 40, AC sampling module 10, winding temperature sampling module 20;

[0073] The communication module 40, the AC sampling module 10, and the winding temperature sampling module 20 are all connected to the control module 30;

[0074] The communication module 40 is used for data communication;

[0075] The AC sampling module 10 is used to collect the current, voltage or power factor data of the transformer;

[0076] The winding temperature sampling point is used to collect the winding temperature of the transformer.

[0077] It should be noted that the setting device provided in the present application is provided with a control module 30, a communication module 40, an AC sampling module 10 and a winding temperature sampling module 20. When the real-time monitoring data of the setting device exceeds the set value and the delay time, the control module 30 issues a load adjustment instruction, generates a fault event record, and performs a partial load removal operation. The communication module 40 is connected to the serial port of the control module 30. The communication module 40 is used for data communication, and it can use a power communication dedicated network or a 4G communication unit. The AC sampling module 10 is responsible for real-time collection of current, voltage, and power factor data of the high-overload distribution transformer. The AC sampling module 10 includes a voltage transformer and a current transformer. The voltage transformer is used to collect three-phase voltage, and the current transformer is used to collect three-phase current. The winding temperature sampling module 20 is used to collect winding temperature for transformer overload condition judgment.

[0078] Furthermore, the control module 30 is specifically a DSP mainboard, and the serial port of the DSP mainboard is connected to the communication module 40 .

[0079] It should be noted that the control module 30 may adopt a DSP mainboard for data acquisition, logic judgment, control and information transmission.

[0080] Furthermore, the communication module 40 includes a power communication dedicated network or a 4G communication unit.

[0081] It should be noted that the communication module 40 is connected to the serial port of the control module 30. The communication module 40 is used for data communication and can use a power communication network or a 4G communication unit.

[0082] Furthermore, the AC sampling module 10 includes a voltage transformer and a current transformer; the voltage transformer is used to collect three-phase voltage; and the current transformer is used to collect three-phase current.

[0083] It should be noted that the AC sampling module 10 includes a voltage transformer and a current transformer. The voltage transformer is used to collect three-phase voltage, and the current transformer is used to collect three-phase current.

[0084] A third aspect of the present application provides a protection setting value dynamic adjustment device, the device including a processor and a memory:

[0085] The memory is used to store program codes and transmit the program codes to the processor;

[0086] The processor is used to execute the protection setting dynamic adjustment method of the above embodiment according to the instructions in the program code.

[0087] In a fourth aspect, the present application provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the protection constant dynamic adjustment method of the above embodiment.

[0088] The terms "including" and "having" and any variations thereof in the specification of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or are inherent to these processes, methods, products or apparatuses.

[0089] It should be understood that, in the application, "at least one" refers to one or more, and "multiple" refers to two or more. "And / or" is used to describe the association relationship of the associated objects, which means that there can be three relationships, for example, "A and / or B" can represent three cases of only A, only B, and A and B existing at the same time, wherein A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after it. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can represent a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, and c can be single or multiple.

[0090] In several embodiments provided in the application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division, and actual implementation can have another division manner. For example, a plurality of units or components can be combined or integrated into another system, or some features can be omitted or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed mutual units can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0091] The units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0092] In addition, each functional unit in each embodiment of the application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0093] If 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. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), random access memory (English full name: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program code.

[0094] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for dynamic setting of protection setting value, characterized in that: include: Establishing a thermal distribution model inside the transformer and studying the temperature rise characteristics of the transformer during actual operation based on the thermal distribution model and thermal circuit differential equations when the load and ambient temperature change; the thermal distribution model includes a top oil temperature-ambient temperature model and a hot spot temperature-top oil temperature model; Performing temperature field simulation on the transformer under stable load using Fluent software to calculate the temperature rise and average temperature rise of the highest point of the transformer distribution winding, and comparing them with the temperature rise and average temperature rise of the hottest point of the distribution winding of mineral oil; The temperature field distribution of the transformer is calculated based on a preset dynamic load curve and compared with that of a mineral oil transformer to dynamically and adaptively adjust the relay protection setting of the high overload capacity distribution transformer.

2. A protection setting value dynamic setting device, characterized in that: The setting device is used to execute the protection setting value dynamic setting method described in claim 1, comprising: Control module, communication module, AC sampling module, winding temperature sampling module; The communication module, the AC sampling module, and the winding temperature sampling module are all connected to the control module; The communication module is used for data communication; The AC sampling module is used to collect current, voltage or power factor data of the transformer; The winding temperature sampling module is used to collect the winding temperature of the transformer.

3. The protection setting value dynamic adjustment device according to claim 2, characterized in that: The control module is specifically a DSP mainboard, and the serial port of the DSP mainboard is connected to the communication module.

4. The protection setting value dynamic adjustment device according to claim 2, characterized in that: The communication module includes a power communication dedicated network or a 4G communication unit.

5. The protection setting value dynamic adjustment device according to claim 2, characterized in that: The AC sampling module includes a voltage transformer and a current transformer; the voltage transformer is used to collect three-phase voltage; the current transformer is used to collect three-phase current.

6. A protection setting value dynamic setting device, characterized in that: The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the protection setting dynamic adjustment method according to claim 1 according to the instructions in the program code.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program code, and the program code is used to execute the protection setting dynamic adjustment method described in claim 1.

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