Transformer temperature rise refrigeration method and system

Abstract

The invention discloses a transformer temperature rise refrigeration method and system, and relates to the technical field of transformer temperature rise management, and the method comprises the steps: obtaining transformer data through a sensor, and detecting the temperature; constructing a first decision according to the monitoring data and the environmental conditions; and the transformer is cooled through the first mechanism. According to the transformer temperature rise refrigeration method provided by the invention, through real-time monitoring and temperature data acquisition, it is ensured that the system can quickly and accurately reflect the change condition of the temperature of the transformer, the equipment damage risk caused by too fast temperature rise is reduced, through intelligent control decision and dynamic adjustment, the adaptability and response speed of temperature rise management are improved, and the system reliability is improved. Through directional refrigeration execution and temperature control optimization, the condition of undifferentiated dispersion of cold airflow is avoided, the cooling effect of key parts is enhanced, the energy efficiency ratio of the refrigeration system is increased, and better effects are achieved in the aspects of adaptability, response speed and the energy efficiency ratio.

Description

Technical Field

[0001] The invention relates to the technical field of transformer temperature rise management, and in particular to a transformer temperature rise cooling method. Background Art

[0002] With the rapid expansion of modern power systems, power equipment faces severe challenges in temperature rise management during high-load operation. In particular, distribution transformers are important nodes in power transmission, and stability is crucial to the overall operation of the system. Traditional transformer temperature rise management mainly relies on natural cooling or simple air cooling systems. These methods can meet basic needs at early technical levels and under low-load conditions. However, with the gradual increase in grid load, heat accumulation inside the transformer has significantly increased, and the temperature rise problem has become increasingly prominent, which has had an impact on equipment performance and life that cannot be ignored. To solve this problem, some high-power transformers have introduced forced air cooling or liquid cooling technology in recent years to enhance heat dissipation capabilities. However, in actual applications, traditional methods still have deficiencies in efficiency and control accuracy, and it is difficult to fully guarantee the stability of equipment under high-load conditions.

[0003] Although the existing temperature rise control technology has introduced certain cooling methods, its monitoring and control mostly remain at the static threshold control and single cooling strategy. It lacks the ability to respond to temperature rise changes in real time and cannot achieve dynamic and directional cooling adjustment. This control mode makes it difficult for the cooling system to respond in time when facing load fluctuations and ambient temperature changes, which can easily lead to accelerated aging of key parts of the transformer due to uncontrolled temperature rise. In addition, most of the current control systems fail to effectively integrate intelligent temperature monitoring and dynamic adjustment strategies, resulting in low cooling efficiency and difficulty in reducing energy consumption and costs while ensuring stable operation. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: the existing transformer temperature rise control method has insufficient real-time monitoring, poor dynamic adjustment effect, low refrigeration efficiency, and how to achieve optimization problems of efficient and accurate temperature rise control.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a transformer temperature rise cooling method, comprising obtaining transformer data through a sensor and detecting the temperature; building a first decision based on the monitoring data and environmental conditions; and cooling the transformer through a first mechanism.

[0007] As a preferred solution of the transformer temperature rise cooling method described in the present invention, wherein: the obtaining of transformer data through a sensor includes extracting temperature information from real-time operation data of the transformer through a built-in temperature sensor.

[0008] As a preferred solution of the transformer temperature rise cooling method of the present invention, the temperature detection includes real-time analysis of temperature data, comparison with a preset safe temperature rise range, and identification of temperature rise abnormalities.

[0009] As a preferred solution of the transformer temperature rise cooling method described in the present invention, wherein: the first decision-making based on the monitoring data and environmental conditions includes judging whether to start the first mechanism based on historical data and real-time monitoring results.

[0010] As a preferred solution of the transformer temperature rise cooling method described in the present invention, wherein: the first decision constructed according to the monitoring data and environmental conditions also includes dynamically adjusting the temperature rise threshold and mechanism triggering conditions to adapt to different operating conditions.

[0011] As a preferred solution of the transformer temperature rise cooling method described in the present invention, wherein: cooling the transformer by the first mechanism includes applying a cold air flow to the transformer by a high-efficiency fan and a cooling medium to cool the transformer.

[0012] As a preferred solution of the transformer temperature rise cooling method described in the present invention, wherein: cooling the transformer through the first mechanism also includes dynamically adjusting the flow rate of the cooling medium and the direction of the cold air flow according to real-time temperature feedback to optimize the temperature control effect.

[0013] Another object of the present invention is to provide a transformer temperature rise refrigeration system, which can automatically determine whether it is necessary to start the refrigeration mechanism when an abnormal temperature rise is detected through a strategy building module, and dynamically adjust the temperature control strategy, thereby solving the current problems of untimely response or insufficient refrigeration when load fluctuates or external conditions change.

[0014] As a preferred solution of the transformer temperature rise refrigeration system described in the present invention, it includes: a collection and detection module, a strategy construction module, and a refrigeration and cooling module; the collection and detection module is used to obtain transformer data through a sensor and detect the temperature; the strategy construction module is used to build a first decision based on monitoring data and environmental conditions; the refrigeration and cooling module is used to cool the transformer through a first mechanism.

[0015] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and wherein the processor executes the computer program to implement a step of a transformer temperature rise cooling method.

[0016] A computer-readable storage medium stores a computer program, wherein the computer program implements the steps of a transformer temperature rise cooling method when executed by a processor.

[0017] Beneficial effects of the present invention: The transformer temperature rise refrigeration method provided by the present invention ensures that the system can quickly and accurately respond to changes in transformer temperature through real-time monitoring and temperature data collection, reduces the risk of equipment damage caused by excessive temperature rise, improves the adaptability and response speed of temperature rise management through intelligent control decisions and dynamic adjustments, avoids the indiscriminate dispersion of cold air flow through directional refrigeration execution and temperature control optimization, enhances the cooling effect of key parts, and improves the energy efficiency ratio of the refrigeration system. The present invention achieves better results in terms of adaptability, response speed and energy efficiency ratio. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0019] Figure 1 This is an overall flow chart of a transformer temperature rise cooling method provided for the first and second embodiments of the present invention.

[0020] Figure 2 This is an overall module diagram of a transformer temperature rise refrigeration system provided in accordance with the fourth embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0022] Example 1

[0023] Reference Figure 1 , as an embodiment of the present invention, provides a transformer temperature rise cooling method, comprising:

[0024] S1: Obtain transformer data through sensors and detect temperature.

[0025] Furthermore, obtaining transformer data through sensors includes extracting temperature information from real-time operating data of the transformer through a built-in temperature sensor.

[0026] It should be noted that the temperature monitoring adopts a multi-point distributed built-in temperature sensor network. The temperature sensors are mainly arranged in the key parts of the transformer, including the top oil temperature, winding temperature and core temperature, so as to fully reflect the temperature distribution inside the equipment. Each sensor is closely connected to the data acquisition module and transmits the collected data to the central control unit by wired or wireless means. The sensor can collect temperature change data at a high frequency and record the real-time temperature of each key part to ensure that the temperature rise change can be detected in time;

[0027] The design of the sensor network takes into account the different requirements for temperature monitoring in different parts. For example, the temperature rise in the winding area is more sensitive, so the sensor density is increased in this area to improve the accuracy and real-time performance of temperature monitoring. In the core position, since the temperature rise is relatively small, the distribution density of sensors is relatively low to save system resources. This distribution method improves the detection efficiency of the system and reduces data redundancy, making temperature data collection more targeted and efficient.

[0028] Furthermore, the temperature detection includes real-time analysis of temperature data, comparison with a preset safe temperature rise range, and identification of abnormal temperature rise.

[0029] It should be noted that the system compares the temperature data with the preset safety temperature rise threshold one by one to determine whether the current temperature value exceeds the safety range. At the same time, in order to more accurately grasp the temperature change trend, the system also analyzes the temperature change rate over a period of time. If the temperature continues to rise or the rate of increase exceeds the expected range during normal operation, the system will mark this situation as a potential temperature rise anomaly and prepare to initiate further control measures.

[0030] Example 2

[0031] Reference Figure 1 , as an embodiment of the present invention, provides a transformer temperature rise cooling method, comprising:

[0032] S2: Construct the first decision based on monitoring data and environmental conditions.

[0033] Furthermore, constructing the first decision according to the monitoring data and environmental conditions includes determining whether to activate the first mechanism based on historical data and real-time monitoring results.

[0034] In the embodiment of the present application, the first strategy is an intelligent control strategy, which uses adaptive algorithms and multi-parameter collaborative control, and utilizes real-time data analysis and dynamic decision-making to ensure that the transformer always maintains a safe temperature rise range under various load and ambient temperature changes. The strategy relies on the temperature sensor network to obtain the key temperature data of the transformer in real time, including the top oil temperature, winding temperature, and core temperature, etc. The central control unit analyzes these data and determines whether it is necessary to start the first mechanism in combination with the real-time changes in the operating conditions of the transformer.

[0035] In an optional embodiment, the first strategy can also be implemented in other ways, such as a hierarchical response control strategy, which divides the temperature rise control into multiple response levels. According to the real-time temperature change degree and the heating rate, the system gradually enables different cooling modes to ensure reasonable resource allocation and maximize energy saving effects.

[0036] The hierarchical response control strategy sets multiple levels of temperature rise thresholds, such as setting up primary, secondary and tertiary temperature rise alarm lines, so that corresponding cooling measures can be taken at different temperature levels and heating rates. The primary response is triggered when the temperature rise is detected in the early stage. The system only uses low-power cooling mode or adjusts the cooling medium flow rate to reduce energy consumption and ensure that the temperature does not continue to rise. When the temperature continues to rise and reaches the secondary alarm threshold, the system enters a higher-power cooling mode, starts the main cooling fan or increases the cooling medium flow rate to accelerate the temperature drop;

[0037] When the temperature rises to the third-level alarm threshold, the system enters the emergency cooling mode. At this time, the system starts the full-power cooling mode and performs directional cooling around key parts (such as windings and cores) to ensure the highest cooling effect to prevent damage to the equipment due to excessive temperature rise. When the ambient temperature changes sharply or the load continues to increase, the threshold and cooling intensity of each level of response are automatically adjusted, so that the system has adaptive adjustment capabilities, so as to better fit the operating status and external conditions of the transformer;

[0038] Through the hierarchical response control strategy, a more flexible temperature rise management method can be achieved to avoid over-cooling under low temperature changes. At the same time, stronger temperature control measures are provided when the temperature rise intensifies, effectively improving the system's energy-saving effect and equipment protection capabilities.

[0039] Furthermore, constructing the first decision based on the monitoring data and environmental conditions also includes dynamically adjusting the temperature rise threshold and mechanism triggering conditions to adapt to different operating conditions.

[0040] It should be noted that the intelligent control strategy performs adaptive adjustments through preset temperature rise thresholds and adjustment parameters to ensure that the system responds quickly to abnormal temperature rise conditions. When load fluctuations or sharp changes in ambient temperature are detected, the intelligent control strategy will evaluate the temperature change rate based on the set threshold and duration. If the temperature exceeds the set threshold or the rise rate exceeds the safe range, the first mechanism will be triggered quickly and the appropriate cooling mode will be selected to ensure the accuracy and response speed of the temperature control effect.

[0041] S3: Cooling the transformer through the first mechanism.

[0042] Furthermore, cooling the transformer by the first mechanism includes applying a cold air flow to the transformer by a high-efficiency fan and a cooling medium to cool the transformer.

[0043] In the embodiment of the present application, the first mechanism is a refrigeration execution mechanism, which quickly starts and performs directional cooling when the temperature rise exceeds the safety range to ensure the stable operation of the transformer. The refrigeration execution mechanism includes a high-efficiency fan, a cooling medium system, and a directional cooling device. According to the real-time monitored temperature data, the key parts of the transformer (such as windings and cores) are accurately cooled. The central control unit receives instructions from the intelligent control strategy, determines whether to start refrigeration and selects a suitable cooling mode, and realizes dynamic management and rapid response to temperature.

[0044] When the temperature exceeds the preset safety threshold, the system will immediately start the primary cooling mode. At this time, the fan and cooling medium system will run at medium power to cope with the initial temperature rise. If the temperature continues to rise or does not drop significantly in a short time, the system will automatically switch to the advanced cooling mode. In the advanced cooling mode, the fan and cooling medium flow rate are increased, and the cold air flow is concentrated through the directional guide device, so that the cooling medium directly acts on the areas with higher temperature, such as windings and cores, to accelerate the cooling process.

[0045] The cooling execution mechanism is particularly suitable for operating conditions with large load fluctuations and high ambient temperatures, ensuring that the system can quickly return to a safe temperature range.

[0046] In an optional embodiment, the first mechanism can also be implemented in other ways, such as a liquid cooling circulation mechanism. The liquid cooling circulation mechanism uses a coolant with strong thermal conductivity as the core medium, and continuously transports the coolant to the high-temperature parts of the transformer, such as the winding and the core, through a circulating pipe system to ensure that the temperature can be quickly conducted and effectively reduced. The liquid cooling circulation mechanism relies on the efficient circulation of the coolant and the intelligent control strategy, and can flexibly adjust the flow and temperature according to the real-time monitoring data to achieve dynamic temperature control;

[0047] The liquid cooling circulation mechanism uses a cooling pipe network set up inside the transformer to directly introduce the coolant into the area that needs to be cooled. When the temperature reaches the preset safety threshold, the system triggers the coolant pump through the central control unit to quickly transport the coolant to the area where the temperature rises, absorbs the excess heat and circulates it away in time. This mechanism combines real-time data monitoring of the temperature sensor to adjust the flow rate and circulation frequency of the coolant according to the rate and range of temperature rise, so as to maintain the temperature stability of the system in a high temperature environment;

[0048] The intelligent control function of the liquid cooling circulation mechanism can automatically adjust the temperature and flow rate of the coolant according to the load changes and ambient temperature. When the load increases or the external temperature is high, the system automatically increases the coolant flow rate to speed up the cooling process. When the load decreases or the temperature returns to the normal range, the coolant flow rate is reduced to save energy. Flow rate control ensures that the cooling system can operate in the optimal mode under various operating conditions and avoid unnecessary energy consumption.

[0049] Furthermore, cooling the transformer through the first mechanism also includes dynamically adjusting the flow rate of the cooling medium and the direction of the cold air flow according to real-time temperature feedback to optimize the temperature control effect.

[0050] It should be noted that the refrigeration execution mechanism also integrates an adaptive adjustment function to optimize the use of cooling resources. When the temperature rise rate is slow, the system can save energy by reducing the flow rate of the cooling medium or adjusting the fan speed. In the case of drastic temperature rise, the system quickly switches to high-efficiency cooling mode. This adaptive adjustment function not only improves the cooling efficiency, but also reduces energy consumption, allowing the system to maintain high energy efficiency while ensuring the cooling effect. In order to further improve the targeted cooling, the refrigeration execution mechanism uses directional cooling technology to accurately guide the cold airflow to temperature hotspots to avoid dispersion and waste of cooling resources.

[0051] Example 3

[0052] An embodiment of the present invention provides a transformer temperature rise cooling method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0053] The experimental subjects are three distribution transformers with different power specifications, including small (capacity 100kVA), medium (capacity 500kVA) and large (capacity 1000kVA) oil-immersed transformers. The experiment was carried out under a dynamic load change environment, simulating normal temperature and high temperature external environments respectively, and combining different load conditions (50%, 75% and 100%) to test the responsiveness, cooling effect and energy consumption performance of the temperature rise management system.

[0054] The experiment prepared a sensor network, which was arranged at key locations such as the top oil temperature, winding temperature and core temperature of the transformer to ensure real-time monitoring of temperature rise changes. The sensor network transmitted data to the central control unit via wireless transmission to ensure the real-time and accuracy of the data. At the same time, the system set temperature rise thresholds and response conditions to test the effectiveness of triggering the refrigeration mechanism under different environments and loads. By setting the temperature threshold and duration, it automatically determines whether the refrigeration mechanism needs to be started.

[0055] Under stable load conditions, the central control unit automatically performs temperature control based on sensor data and intelligent control algorithms to trigger the refrigeration mechanism. When the refrigeration system starts, the cooling fan and cooling medium in the execution unit cool down key parts such as windings and iron cores through a directional cooling design. The directional introduction of cold air flow is achieved by adjusting the cooling medium flow and fan angle. During the experiment, the system records temperature data and cooling energy consumption every 5 minutes to capture real-time temperature rise changes and the energy-saving effect of the refrigeration system.

[0056] As shown in Table 1, for a 100kVA transformer, at a normal temperature of 25°C and 50% load, its peak temperature reaches 85°C, and after the refrigeration system is started, the temperature quickly drops to 70°C, and the energy consumption is only 2.0kWh, showing a very high energy-saving effect. Under a higher temperature environment (40°C and 75% load), the peak temperature of the 100kVA transformer reaches 100°C, and the temperature drops to 80°C after the refrigeration is started, indicating that the present invention can effectively maintain the safe temperature of the transformer under high temperature and high load, and the refrigeration energy consumption is controlled within a reasonable range (3 .5kWh), the peak temperature of the 500kVA transformer at 40℃ and 75% load conditions reached 110℃, and the temperature was controlled within a safe range of 85℃ through cooling, with an energy consumption of 6.8kWh, showing high efficiency and good cooling effect. The peak temperature of the 1000kVA transformer at 40℃ ambient temperature and 100% load reached 130℃, and the temperature was reduced to 90℃ through system directional cooling, with a cooling energy consumption of 12.5kWh, further verifying the reliability and energy-saving advantages of the present invention under high-power and high-load environments.

[0057] Table 1 Experimental data table

[0058]

[0059] Example 4

[0060] Reference Figure 2 , which is an embodiment of the present invention, provides a transformer temperature rise refrigeration system, including: a collection and detection module, a strategy building module, and a refrigeration and temperature reduction module.

[0061] The acquisition and detection module is used to obtain transformer data through sensors and detect the temperature; the strategy construction module is used to build a first decision based on monitoring data and environmental conditions; and the refrigeration and cooling module is used to cool the transformer through a first mechanism.

[0062] If the function 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 invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0063] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0064] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0065] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0066] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A transformer temperature rise cooling method, characterized in that: include: Obtain transformer data through sensors and detect temperature; Constructing a first decision based on monitoring data and environmental conditions; The transformer is cooled by a first mechanism.

2. The transformer temperature rise cooling method according to claim 1, characterized in that: The obtaining of transformer data through a sensor includes extracting temperature information from real-time operation data of the transformer through a built-in temperature sensor.

3. The transformer temperature rise cooling method according to claim 2, characterized in that: The temperature detection includes real-time analysis of temperature data, comparison with a preset safe temperature rise range, and identification of abnormal temperature rise.

4. The transformer temperature rise cooling method according to claim 3, characterized in that: The constructing of the first decision according to the monitoring data and environmental conditions includes determining whether to activate the first mechanism based on historical data and real-time monitoring results.

5. The transformer temperature rise cooling method according to claim 3, characterized in that: The constructing of the first decision based on the monitoring data and environmental conditions also includes dynamically adjusting the temperature rise threshold and mechanism triggering conditions to adapt to different operating conditions.

6. The transformer temperature rise cooling method according to claim 5, characterized in that: Cooling down the transformer by the first mechanism includes applying a cold air flow to the transformer by a high-efficiency fan and a cooling medium to cool down the transformer.

7. The transformer temperature rise cooling method according to claim 5, characterized in that: Cooling the transformer by the first mechanism also includes dynamically adjusting the flow rate of the cooling medium and the direction of the cold air flow according to real-time temperature feedback to optimize the temperature control effect.

8. A system using the transformer temperature rise cooling method according to any one of claims 1 to 7, characterized in that: It includes collection and detection module, strategy building module, and refrigeration and cooling module; The acquisition and detection module is used to obtain transformer data through sensors and detect temperature; The strategy building module is used to build a first decision based on monitoring data and environmental conditions; The refrigeration and temperature-lowering module is used to cool the transformer through a first mechanism.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the transformer temperature rise cooling method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the transformer temperature rise cooling method according to any one of claims 1 to 7 are implemented.

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