A comprehensive refrigeration and consumption reduction control system for transformers

Abstract

The present invention belongs to the field of refrigeration consumption reduction control, and specifically discloses a transformer comprehensive refrigeration consumption reduction control system, which includes: the system includes refrigeration regulation demand analysis, refrigeration control judgment, refrigeration equipment analysis, fault judgment and control modules, the demand analysis module collects transformer data in real time, analyzes refrigeration demand, and the control judgment module judges whether to refrigerate based on this. The equipment analysis module evaluates the cooling energy efficiency of each refrigeration equipment, the fault judgment module judges equipment failure based on the operation response time and the cooling energy efficiency index, and the control module randomly combines healthy refrigeration equipment and evaluates the recommended coefficient of each combination scheme to achieve accurate cooling control of the transformer. The entire system achieves accurate response to the transformer cooling demand through real-time data monitoring, energy efficiency analysis and fault detection, and improves the stability and safety of transformer operation.

Description

Technical Field

[0001] The invention belongs to the field of refrigeration consumption reduction regulation and control, and relates to a transformer comprehensive refrigeration consumption reduction regulation and control system. Background Art

[0002] As the demand for electricity continues to grow, transformers are essential key equipment in the power system, and their operating efficiency and stability are crucial to the safe and efficient operation of the entire power grid. However, during the operation of the transformer, due to internal losses and the influence of the external environment, a large amount of heat will be generated, causing the transformer temperature to rise. If the temperature is too high, it will not only affect the operating efficiency of the transformer and shorten its service life, but may also cause serious safety accidents.

[0003] Although the existing refrigeration energy-saving regulation and control systems meet certain requirements, they still have limitations. Specifically: 1. Existing cooling regulation technologies often lack accurate evaluation of refrigeration equipment combination solutions. They simply allocate resources based on the refrigeration capacity or quantity of refrigeration equipment, without considering the performance and energy consumption of refrigeration equipment within a specific temperature range. As a result, some refrigeration equipment with better performance but not fully utilized are idle, while some refrigeration equipment with poorer performance is overused, resulting in energy waste.

[0004] 2. Existing technologies lack the ability to identify and eliminate refrigeration equipment failures, resulting in the continued participation of faulty equipment in cooling regulation, which not only affects the cooling effect, but may also aggravate equipment damage, increase maintenance costs, and cause energy waste and low cooling efficiency. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a transformer comprehensive refrigeration consumption reduction control system is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a comprehensive refrigeration and consumption reduction control system for a transformer, including: a database: used to store the allowable operating temperature of the transformer, the starting temperature, ending temperature and power consumption of each refrigeration device for each use in each temperature range, and the allowable response time difference corresponding to each operation instruction of each refrigeration device.

[0007] Refrigeration regulation demand analysis module: used to collect the internal temperature, current and voltage of the transformer at each monitoring point in real time, and then obtain the internal temperature, current and voltage of the transformer, and extract the allowable operating temperature of the transformer from the database to analyze the refrigeration regulation demand index of the transformer.

[0008] Refrigeration control judgment module: used to judge whether the transformer needs to be refrigerated according to the refrigeration regulation demand index of the transformer.

[0009] Refrigeration equipment analysis module: used to extract the starting temperature, ending temperature and power consumption of each refrigeration equipment in each temperature range from the database, analyze the cooling rate and cooling energy consumption of each refrigeration equipment in each temperature range, and then analyze the cooling energy efficiency index of each refrigeration equipment in each temperature range.

[0010] Refrigeration equipment fault judgment module: used to extract the response time and issuance time corresponding to each operation instruction of each refrigeration equipment, analyze the operation sensitivity index of each refrigeration equipment, and then determine whether there is a refrigeration fault equipment according to the cooling energy efficiency index of each refrigeration equipment.

[0011] Refrigeration equipment control module: used to randomly combine the refrigeration equipment to obtain the refrigeration equipment combination schemes, screen out the refrigeration equipment combination schemes with faulty equipment, use the remaining refrigeration equipment combination schemes as healthy refrigeration equipment combination schemes, analyze the recommended coefficients of the healthy refrigeration equipment combination schemes, and then perform temperature reduction control on the transformer.

[0012] Preferably, the collecting of the internal temperature, current and voltage of the transformer at each monitoring point comprises: collecting the internal temperature of the transformer at each monitoring point by a first temperature sensor, and obtaining the average internal temperature of the transformer according to the average calculation as the internal temperature of the transformer, which is recorded as T

[0013] The current at each monitoring position on the transformer corresponding line is collected by an ammeter, and the average current of the transformer is obtained by average calculation, which is used as the current of the transformer and is recorded as I.

[0014] The voltage at each monitoring position on the line corresponding to the transformer is collected by a voltmeter, and the average voltage of the transformer is obtained by average calculation as the voltage of the transformer, recorded as U.

[0015] Preferably, the analyzing of the refrigeration regulation demand index of the transformer includes: taking the allowable operating temperature of the transformer as a reference temperature of the transformer, denoted as T0.

[0016] The transformer cooling regulation demand index κ is analyzed, κ = κ′·ε1+κ″·ε2, where κ′ represents the temperature deviation of the transformer. κ″ represents the load power deviation of the transformer, P represents the load power of the transformer, P=U×I, P0 represents the rated load power of the transformer, ε1 represents the weight factor corresponding to the set temperature deviation of the transformer, ε2 represents the weight factor corresponding to the set load power deviation of the transformer, and ε1+ε2=1.

[0017] Preferably, the determination of whether to perform cooling regulation on the transformer includes: comparing the cooling regulation demand index of the transformer with a preset cooling demand threshold; if the cooling regulation demand index of the transformer is less than the preset cooling demand threshold, the transformer does not need to be cooled; if the cooling regulation demand index of the transformer is greater than or equal to the preset cooling demand threshold, the transformer needs to be cooled.

[0018] Preferably, the analysis of the cooling rate and cooling energy consumption of each refrigeration device in each temperature interval includes: comparing the starting temperature and the ending temperature of each refrigeration device used in each temperature interval to obtain the temperature difference of each refrigeration device used in each temperature interval.

[0019] The cooling time of each refrigeration device used each time in each temperature range is averaged to obtain the average cooling time of each refrigeration device in each temperature range.

[0020] The temperature difference of each refrigeration device used in each temperature interval is averaged to obtain the average temperature change of each refrigeration device in each temperature interval. The average temperature change of each refrigeration device in each temperature interval is divided by the average cooling time of each refrigeration device in each temperature interval to obtain the cooling rate of each refrigeration device in each temperature interval, which is recorded as Q ag , where a represents the number corresponding to different refrigeration equipment, a=1, 2, 3, ...A, and g represents the number corresponding to different temperature ranges, g=1, 2, 3, ...G.

[0021] The power consumption of each refrigeration device in each temperature range is averaged to obtain the average power consumption of each refrigeration device in each temperature range.

[0022] The average power consumption of each refrigeration device in each temperature interval is compared with the cooling rate of each refrigeration device in each temperature interval, and the ratio of the average power consumption of each refrigeration device in each temperature interval to the average temperature change of each refrigeration device in each temperature interval is obtained as the cooling energy consumption of each refrigeration device in each temperature interval, which is recorded as

[0023] Preferably, the specific formula of the cooling energy efficiency index of each refrigeration device in each temperature range is: where ζ ag It represents the deviation of the cooling rate of the a-th refrigeration equipment in the g-th temperature interval. Where Q a ' g represents the reference cooling rate of the a-th refrigeration equipment in the g-th temperature interval, β ag It indicates the cooling energy consumption deviation of the set a-th refrigeration equipment in the g-th temperature range. It represents the reference cooling energy consumption of the a-th refrigeration equipment in the g-th temperature range.

[0024] The cooling energy efficiency index of each refrigeration device in each temperature range is sorted from large to small to obtain the sorting sequence number of each refrigeration device in each temperature range.

[0025] Preferably, the analysis of the operation sensitivity index of each refrigeration device includes: recording the response time and issuance time corresponding to each operation instruction of each refrigeration device in the history records of the log platform, and subtracting the corresponding issuance time from the response time corresponding to each operation instruction of each refrigeration device to obtain the response time difference corresponding to each operation instruction of each refrigeration device, which is recorded as L an , where n is the number corresponding to different operation instructions, n=1,2,3...N.

[0026] The difference in the allowed response time corresponding to each operation instruction of each refrigeration equipment extracted from the database is denoted as L a ' n , analyze the operating sensitivity index B of each refrigeration equipment a ,

[0027] Preferably, the determining whether there is a refrigeration fault device includes: analyzing the fault index ω of each refrigeration device through the operation sensitivity index and the cooling energy efficiency index of each refrigeration device. a

[0028] , Among them B a ′ represents the reference operation sensitivity index of the ath refrigeration equipment, γ a ' g It represents the reference cooling energy efficiency index of the a-th refrigeration equipment in the g-th temperature interval, and G represents the total number of temperature intervals.

[0029] The fault index of each refrigeration device is compared with a preset fault index threshold. If the fault index of a refrigeration device is greater than or equal to the preset fault index threshold, the refrigeration device is a faulty device, and the faulty devices are screened out.

[0030] Preferably, the analyzing the recommendation coefficients of each healthy refrigeration equipment combination solution includes: obtaining each target temperature range according to the internal temperature of the transformer.

[0031] According to the sorting numbers of the refrigeration equipment in each temperature range, the sorting numbers corresponding to the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme are obtained, and the corresponding weights are set according to the set sorting numbers to screen out the weights corresponding to the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme.

[0032] The weights of the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme are added together to obtain the total weight of each healthy refrigeration equipment combination scheme, which is recorded as ν e , where e represents the numbers corresponding to different healthy refrigeration equipment combination solutions, e=1,2,3,...E.

[0033] The weight corresponding to the first sequence number is recorded as θ e .

[0034] Analyze the recommended coefficient σ of each healthy refrigeration equipment combination solution e , Where E represents the total number of target temperature intervals.

[0035] Preferably, the temperature-lowering and regulating the transformer comprises: sorting the recommended coefficients of each healthy refrigeration equipment combination scheme, screening out the first-ranked healthy refrigeration equipment combination scheme, and temperature-lowering and regulating the transformer according to the first-ranked healthy refrigeration equipment combination scheme.

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention collects the internal temperature, current and voltage of the transformer at each monitoring point in real time, thereby obtaining the internal temperature, current and voltage of the transformer, extracting the allowable operating temperature of the transformer from the database, and analyzing the refrigeration regulation demand index of the transformer, which can effectively prevent the transformer from overheating or other faults, and reflect the current operating status of the transformer, providing a scientific basis for refrigeration regulation, helping to extend the service life of the transformer, reduce the failure rate, improve the stability and reliability of the system, help to achieve optimal utilization of energy, reduce operating costs, and improve economic benefits.

[0037] (2) The present invention can accurately evaluate the performance of each device under different temperature conditions by analyzing the cooling rate and cooling energy consumption of each refrigeration equipment in each temperature range, which helps enterprises to more accurately understand the actual operating effect of the equipment and provide strong support for equipment selection and optimization. According to the cooling energy efficiency index of each refrigeration equipment in each temperature range, the enterprise can identify the equipment and ranges with higher energy consumption, and formulate energy-saving measures accordingly, which helps to reduce the overall energy consumption of the enterprise and improve economic benefits.

[0038] (3) The present invention analyzes the operation sensitivity index of the refrigeration equipment through the response time and issuance time of the operation instructions of the refrigeration equipment, and combines it with the cooling energy efficiency index to accurately determine whether there is a faulty device, which helps to timely discover and solve potential fault problems, prevent the fault from further expanding and affecting the normal operation of the entire refrigeration system, and timely discover and solve refrigeration equipment failures, which can significantly improve the reliability and stability of the refrigeration system, reduce the maintenance cost of the enterprise, and improve economic benefits.

[0039] (4) The present invention screens out combination schemes with faulty equipment to ensure that only healthy refrigeration equipment is used for temperature control. This not only avoids the problems that may be caused by faulty equipment, but also optimizes the utilization of refrigeration resources, ensures the effectiveness and reliability of control, and more accurately evaluates the pros and cons of each scheme by analyzing the ranking sequence of refrigeration equipment in the target temperature range of each healthy refrigeration equipment combination scheme and setting the corresponding weight. This weight-based intelligent decision-making method can more reasonably allocate refrigeration resources and achieve more accurate and efficient temperature control. Selecting the first-ranked healthy refrigeration equipment combination scheme to cool the transformer can ensure the maximization of the cooling effect. This method comprehensively considers the performance and weight of the refrigeration equipment and selects the optimal scheme for control, thereby achieving a more efficient and accurate cooling effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0041] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1 As shown, the present invention provides a transformer comprehensive refrigeration consumption reduction control system, including: a database, a refrigeration regulation demand analysis module, a refrigeration control judgment module, a refrigeration equipment analysis module, a refrigeration equipment fault judgment module and a refrigeration equipment control module.

[0044] The database is respectively connected to the refrigeration regulation demand analysis module, the refrigeration equipment analysis module and the refrigeration equipment fault judgment module; the refrigeration regulation judgment module is respectively connected to the refrigeration regulation demand analysis module and the refrigeration equipment analysis module; the refrigeration equipment fault judgment module is respectively connected to the refrigeration equipment analysis module, the refrigeration equipment regulation module and the database.

[0045] Database: used to store the allowable operating temperature of the transformer, the starting temperature, ending temperature and power consumption of each refrigeration device in each temperature range, and the allowable response time difference corresponding to each operation instruction of each refrigeration device.

[0046] The refrigeration regulation demand analysis module is used to collect the internal temperature, current and voltage of the transformer at each monitoring point in real time, thereby obtaining the internal temperature, current and voltage of the transformer, extracting the allowable operating temperature of the transformer from the database, and analyzing the refrigeration regulation demand index of the transformer.

[0047] Furthermore, the collecting of the internal temperature, current and voltage of the transformer at each monitoring point includes: collecting the internal temperature of the transformer at each monitoring point by a first temperature sensor, and obtaining the average internal temperature of the transformer according to the average calculation as the internal temperature of the transformer, which is recorded as T

[0048] The current at each monitoring position on the transformer corresponding line is collected by an ammeter, and the average current of the transformer is obtained by average calculation, which is used as the current of the transformer and is recorded as I.

[0049] The voltage at each monitoring position on the line corresponding to the transformer is collected by a voltmeter, and the average voltage of the transformer is obtained by average calculation as the voltage of the transformer, recorded as U.

[0050] Further, the analyzing of the refrigeration regulation demand index of the transformer includes: taking the allowable operating temperature of the transformer as a reference temperature of the transformer, denoted as T0.

[0051] The transformer cooling regulation demand index κ is analyzed, κ = κ′·ε1+κ″·ε2, where κ′ represents the temperature deviation of the transformer. κ″ represents the load power deviation of the transformer, P represents the load power of the transformer, P=U×I, P0 represents the rated load power of the transformer, ε1 represents the weight factor corresponding to the set temperature deviation of the transformer, ε2 represents the weight factor corresponding to the set load power deviation of the transformer, and ε1+ε2=1.

[0052] The present invention acquires the internal temperature, current and voltage of the transformer at each monitoring point in real time, extracts the allowable operating temperature of the transformer from a database, and analyzes the refrigeration regulation demand index of the transformer, which can effectively prevent the transformer from overheating or other faults, and reflect the current operating status of the transformer, providing a scientific basis for refrigeration regulation, helping to extend the service life of the transformer, reduce the failure rate, improve the stability and reliability of the system, help to achieve optimal utilization of energy, reduce operating costs, and improve economic benefits.

[0053] The refrigeration regulation and control judgment module is used to judge whether refrigeration regulation of the transformer is required according to the refrigeration regulation demand index of the transformer.

[0054] Furthermore, the determination of whether to perform cooling regulation on the transformer includes: comparing a cooling regulation demand index of the transformer with a preset cooling demand threshold; if the cooling regulation demand index of the transformer is less than the preset cooling demand threshold, the transformer does not need to be cooled; if the cooling regulation demand index of the transformer is greater than or equal to the preset cooling demand threshold, the transformer needs to be cooled.

[0055] The present invention can avoid unnecessary refrigeration operations and reduce the energy consumption and operating costs of refrigeration equipment by judging whether to perform refrigeration control on the transformer according to the refrigeration regulation demand index of the transformer. When the transformer does not need refrigeration, the operating power of the refrigeration equipment can be turned off or reduced to achieve the goal of energy saving and consumption reduction.

[0056] The refrigeration equipment analysis module is used to extract the starting temperature, ending temperature and power consumption of each refrigeration equipment in each temperature range from the database, analyze the cooling rate and cooling energy consumption of each refrigeration equipment in each temperature range, and then analyze the cooling energy efficiency index of each refrigeration equipment in each temperature range.

[0057] Furthermore, the analysis of the cooling rate and cooling energy consumption of each refrigeration device in each temperature range includes: comparing the starting temperature and the ending temperature of each refrigeration device used in each temperature range to obtain the temperature difference of each refrigeration device used in each temperature range.

[0058] The cooling time of each refrigeration device used each time in each temperature range is averaged to obtain the average cooling time of each refrigeration device in each temperature range.

[0059] The temperature difference of each refrigeration device used in each temperature interval is averaged to obtain the average temperature change of each refrigeration device in each temperature interval. The average temperature change of each refrigeration device in each temperature interval is divided by the average cooling time of each refrigeration device in each temperature interval to obtain the cooling rate of each refrigeration device in each temperature interval, which is recorded as Q ag , where a represents the number corresponding to different refrigeration equipment, a=1, 2, 3, ...A, and g represents the number corresponding to different temperature ranges, g=1, 2, 3, ...G.

[0060] The power consumption of each refrigeration device in each temperature range is averaged to obtain the average power consumption of each refrigeration device in each temperature range.

[0061] The average power consumption of each refrigeration device in each temperature interval is compared with the cooling rate of each refrigeration device in each temperature interval, and the ratio of the average power consumption of each refrigeration device in each temperature interval to the average temperature change of each refrigeration device in each temperature interval is obtained as the cooling energy consumption of each refrigeration device in each temperature interval, which is recorded as

[0062] Furthermore, the specific formula of the cooling energy efficiency index of each refrigeration device in each temperature range is: where ζ ag It represents the deviation of the cooling rate of the a-th refrigeration equipment in the g-th temperature interval. Where Q a ' g represents the reference cooling rate of the a-th refrigeration equipment in the g-th temperature interval, β ag It indicates the cooling energy consumption deviation of the set a-th refrigeration equipment in the g-th temperature range. It represents the reference cooling energy consumption of the a-th refrigeration equipment in the g-th temperature range.

[0063] The cooling energy efficiency index of each refrigeration device in each temperature range is sorted from large to small to obtain the sorting sequence number of each refrigeration device in each temperature range.

[0064] By analyzing the cooling rate and cooling energy consumption of each refrigeration equipment in each temperature range, the present invention can accurately evaluate the performance of each device under different temperature conditions, which helps enterprises to understand the actual operating effect of the equipment more accurately and provide strong support for equipment selection and optimization. According to the cooling energy efficiency index of each refrigeration equipment in each temperature range, the enterprise can identify the equipment and ranges with higher energy consumption, and formulate energy-saving measures accordingly, which helps to reduce the overall energy consumption of the enterprise and improve economic benefits.

[0065] The refrigeration equipment fault determination module is used to extract the response time and issuance time corresponding to each operation instruction of each refrigeration equipment, analyze the operation sensitivity index of each refrigeration equipment, and then determine whether there is a refrigeration fault equipment according to the cooling energy efficiency index of each refrigeration equipment.

[0066] Furthermore, the analysis of the operation sensitivity index of each refrigeration device includes: recording the response time and the issuance time corresponding to each operation instruction of each refrigeration device in the history records of the log platform, and subtracting the corresponding issuance time from the response time corresponding to each operation instruction of each refrigeration device to obtain the response time difference corresponding to each operation instruction of each refrigeration device, which is recorded as L an , where n is the number corresponding to different operation instructions, n=1,2,3...N.

[0067] The difference in the allowed response time corresponding to each operation instruction of each refrigeration equipment extracted from the database is denoted as L a ' n , analyze the operating sensitivity index B of each refrigeration equipment a ,

[0068] Furthermore, the determination of whether there is a refrigeration fault device includes: analyzing the fault index ω of each refrigeration device through the operation sensitivity index and cooling energy efficiency index of each refrigeration device a

[0069] , Among them B a ′ represents the reference operation sensitivity index of the ath refrigeration equipment, γ a ' g It represents the reference cooling energy efficiency index of the a-th refrigeration equipment in the g-th temperature interval, and G represents the total number of temperature intervals.

[0070] The fault index of each refrigeration device is compared with a preset fault index threshold. If the fault index of a refrigeration device is greater than or equal to the preset fault index threshold, the refrigeration device is a faulty device, and the faulty devices are screened out.

[0071] The present invention analyzes the operation sensitivity index of the refrigeration equipment through the response time and issuance time of the operation instructions of the refrigeration equipment, and combines the cooling energy efficiency index to accurately determine whether there is a faulty device, which helps to timely discover and solve potential fault problems, prevent the fault from further expanding and affecting the normal operation of the entire refrigeration system. In addition, the timely discovery and processing of refrigeration equipment failures can significantly improve the reliability and stability of the refrigeration system, reduce the maintenance costs of the enterprise, and improve economic benefits.

[0072] The refrigeration equipment control module is used to randomly combine the refrigeration equipment to obtain refrigeration equipment combination schemes, screen out the refrigeration equipment combination schemes with faulty equipment, use the remaining refrigeration equipment combination schemes as healthy refrigeration equipment combination schemes, analyze the recommended coefficients of the healthy refrigeration equipment combination schemes, and then perform temperature reduction control on the transformer.

[0073] Furthermore, the analysis of the recommendation coefficients of each healthy refrigeration equipment combination solution includes: obtaining each target temperature range according to the internal temperature of the transformer.

[0074] According to the sorting numbers of the refrigeration equipment in each temperature range, the sorting numbers corresponding to the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme are obtained, and the corresponding weights are set according to the set sorting numbers to screen out the weights corresponding to the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme.

[0075] The weights of the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme are added together to obtain the total weight of each healthy refrigeration equipment combination scheme, which is recorded as ν e , where e represents the numbers corresponding to different healthy refrigeration equipment combination solutions, e=1,2,3,...E.

[0076] The weight corresponding to the first sequence number is recorded as θ e .

[0077] Analyze the recommended coefficient σ of each healthy refrigeration equipment combination solution e , Where E represents the total number of target temperature intervals.

[0078] As a preferred embodiment, obtaining each target temperature interval according to the internal temperature of the transformer includes: dividing the temperature interval into equal parts of 10 degrees.

[0079] The temperature interval corresponding to the internal temperature of the transformer and the temperature intervals below the temperature interval corresponding to the internal temperature of the transformer are taken as the target temperature intervals.

[0080] For example, if the internal temperature of the transformer is 45 degrees, the target temperature intervals are [40,50], [30,40], [20,30], and [10,20].

[0081] Furthermore, the cooling and regulating of the transformer includes: sorting the recommended coefficients of each healthy refrigeration equipment combination scheme, screening out the first-ranked healthy refrigeration equipment combination scheme, and cooling and regulating the transformer according to the first-ranked healthy refrigeration equipment combination scheme.

[0082] The present invention screens out combination schemes with faulty equipment to ensure that only healthy refrigeration equipment is used for temperature reduction and regulation. This not only avoids the problems that may be caused by faulty equipment, but also optimizes the utilization of refrigeration resources, ensures the effectiveness and reliability of regulation, and more accurately evaluates the pros and cons of each scheme by analyzing the sorting sequence of refrigeration equipment in the target temperature range of each healthy refrigeration equipment combination scheme and setting the corresponding weight. This weight-based intelligent decision-making method can more reasonably allocate refrigeration resources and achieve more accurate and efficient temperature reduction and regulation. Selecting the first-ranked healthy refrigeration equipment combination scheme to perform temperature reduction and regulation on the transformer can ensure the maximization of the cooling effect. This method comprehensively considers the performance and weight of the refrigeration equipment, selects the optimal scheme for regulation, and thus achieves a more efficient and accurate cooling effect.

[0083] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A transformer comprehensive refrigeration and consumption reduction control system, characterized in that: include: Database: used to store the allowable operating temperature of the transformer, the starting temperature, ending temperature and power consumption of each refrigeration device in each temperature range, and the allowable response time difference corresponding to each operation instruction of each refrigeration device; Refrigeration regulation demand analysis module: used to collect the internal temperature, current and voltage of the transformer at each monitoring point in real time, and then obtain the internal temperature, current and voltage of the transformer, and extract the allowable operating temperature of the transformer from the database to analyze the refrigeration regulation demand index of the transformer; Refrigeration control judgment module: used to judge whether the transformer needs to be refrigerated according to the refrigeration regulation demand index of the transformer; Refrigeration equipment analysis module: used to extract the starting temperature, ending temperature and power consumption of each refrigeration equipment in each temperature range from the database, analyze the cooling rate and cooling energy consumption of each refrigeration equipment in each temperature range, and then analyze the cooling energy efficiency index of each refrigeration equipment in each temperature range; Refrigeration equipment fault determination module: used to extract the response time and issuance time corresponding to each operation instruction of each refrigeration equipment, analyze the operation sensitivity index of each refrigeration equipment, and then determine whether there is a refrigeration fault equipment according to the cooling energy efficiency index of each refrigeration equipment; Refrigeration equipment control module: used to randomly combine the refrigeration equipment to obtain the refrigeration equipment combination schemes, screen out the refrigeration equipment combination schemes with faulty equipment, use the remaining refrigeration equipment combination schemes as healthy refrigeration equipment combination schemes, analyze the recommended coefficients of the healthy refrigeration equipment combination schemes, and then perform temperature reduction control on the transformer; The specific formula of the cooling energy efficiency index of each refrigeration equipment in each temperature range is: where ζ ag It represents the deviation of the cooling rate of the a-th refrigeration equipment in the g-th temperature interval. Where Q a ' g represents the reference cooling rate of the a-th refrigeration equipment in the g-th temperature interval, β ag It indicates the cooling energy consumption deviation of the set a-th refrigeration equipment in the g-th temperature range. It represents the reference cooling energy consumption of the a-th refrigeration equipment in the g-th temperature interval; Sort the cooling energy efficiency index of each refrigeration device in each temperature range from large to small, and obtain the sorting sequence number of each refrigeration device in each temperature range; The analysis of the operation sensitivity index of each refrigeration equipment includes: The response time and issuing time of each operation instruction of each refrigeration device in the history records of the log recording platform are subtracted from the corresponding issuing time of each operation instruction of each refrigeration device to obtain the response time difference of each operation instruction of each refrigeration device, which is recorded as L an , where n is the number corresponding to different operation instructions, n = 1, 2, 3...N; The difference in the allowed response time corresponding to each operation instruction of each refrigeration equipment extracted from the database is denoted as L a ' n , analyze the operating sensitivity index B of each refrigeration equipment a , The determining whether there is a refrigeration fault device comprises: Analyze the failure index of each refrigeration equipment through the operation sensitivity index and cooling energy efficiency index of each refrigeration equipment a , Where B′ a represents the reference operation sensitivity index of the ath refrigeration equipment, γ a ' g It represents the reference cooling energy efficiency index of the a-th refrigeration equipment in the g-th temperature interval, where G represents the total number of temperature intervals; The fault index of each refrigeration device is compared with a preset fault index threshold. If the fault index of a refrigeration device is greater than or equal to the preset fault index threshold, the refrigeration device is a faulty device, and the faulty devices are screened out.

2. A transformer comprehensive refrigeration and consumption reduction control system according to claim 1, characterized in that: The collecting of the internal temperature, current and voltage of the transformer at each monitoring point includes: The internal temperature of the transformer at each monitoring point is collected by a first temperature sensor, and the average internal temperature of the transformer is obtained according to the average calculation, which is taken as the internal temperature of the transformer and is recorded as T; The current at each monitoring position on the transformer corresponding line is collected by an ammeter, and the average current of the transformer is obtained by average calculation, which is used as the current of the transformer and is recorded as I; The voltage at each monitoring position on the line corresponding to the transformer is collected by a voltmeter, and the average voltage of the transformer is obtained by average calculation as the voltage of the transformer, recorded as U.

3. A transformer comprehensive refrigeration consumption reduction control system according to claim 2, characterized in that: The analysis of the transformer cooling regulation demand index includes: The allowable operating temperature of the transformer is taken as the reference temperature of the transformer, denoted as T0; The transformer cooling regulation demand index κ is analyzed, κ = κ′·ε1+κ″·ε2, where κ′ represents the temperature deviation of the transformer. κ″ represents the load power deviation of the transformer, P represents the load power of the transformer, P=U×I, P0 represents the rated load power of the transformer, ε1 represents the weight factor corresponding to the set temperature deviation of the transformer, ε2 represents the weight factor corresponding to the set load power deviation of the transformer, and ε1+ε2=1.

4. The transformer comprehensive refrigeration consumption reduction control system according to claim 1 is characterized in that: The determining whether the transformer needs to be refrigerated and regulated includes: The cooling regulation demand index of the transformer is compared with the preset cooling demand threshold. If the cooling regulation demand index of the transformer is less than the preset cooling demand threshold, the transformer does not need to be cooled and regulated; if the cooling regulation demand index of the transformer is greater than or equal to the preset cooling demand threshold, the transformer needs to be cooled and regulated.

5. The transformer comprehensive refrigeration consumption reduction control system according to claim 1 is characterized in that: The analysis of the cooling rate and cooling energy consumption of each refrigeration device in each temperature range includes: Compare the starting temperature and ending temperature of each refrigeration device used in each temperature interval to obtain the temperature difference of each refrigeration device used in each temperature interval; The cooling time of each refrigeration device used in each temperature range is averaged to obtain the average cooling time of each refrigeration device in each temperature range; The temperature difference of each refrigeration device used in each temperature interval is averaged to obtain the average temperature change of each refrigeration device in each temperature interval. The average temperature change of each refrigeration device in each temperature interval is divided by the average cooling time of each refrigeration device in each temperature interval to obtain the cooling rate of each refrigeration device in each temperature interval, which is recorded as Q ag , where a represents the number corresponding to different refrigeration equipment, a=1,2,3,...A, g represents the number corresponding to different temperature ranges, g=1,2,3,...G; The power consumption of each refrigeration device in each temperature range is averaged to obtain the average power consumption of each refrigeration device in each temperature range; The average power consumption of each refrigeration equipment in each temperature interval is compared with the cooling rate of each refrigeration equipment in each temperature interval, and the ratio of the average power consumption of each refrigeration equipment in each temperature interval to the average temperature change of each refrigeration equipment in each temperature interval is obtained as the cooling energy consumption of each refrigeration equipment in each temperature interval, recorded as φ ag .

6. The transformer comprehensive refrigeration consumption reduction control system according to claim 1 is characterized in that: The analysis of the recommended coefficients of various healthy refrigeration equipment combination solutions includes: Obtain each target temperature range according to the internal temperature of the transformer; According to the sorting numbers of the refrigeration equipment in each temperature range, the sorting numbers corresponding to the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme are obtained, and the corresponding weights are set according to the set sorting numbers to screen out the weights corresponding to the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme; The weights of the refrigeration equipment in each target temperature range of each healthy refrigeration equipment combination scheme are added together to obtain the total weight of each healthy refrigeration equipment combination scheme, which is recorded as ν e , where e represents the numbers corresponding to different healthy refrigeration equipment combination solutions, e=1,2,3,...E; The weight corresponding to the first sequence number is recorded as θ e ; Analyze the recommended coefficient σ of each healthy refrigeration equipment combination solution e , Where E represents the total number of target temperature intervals.

7. The transformer comprehensive refrigeration consumption reduction control system according to claim 1 is characterized in that: The step of controlling the temperature of the transformer comprises: The recommended coefficients of each healthy refrigeration equipment combination scheme are sorted, the first-ranked healthy refrigeration equipment combination scheme is screened out, and the transformer is cooled and controlled according to the first-ranked healthy refrigeration equipment combination scheme.

Images