An integrated power distribution system for an electrochemical energy storage power station

Abstract

The present invention relates to the field of integrated power distribution in power stations, and in particular to an integrated power distribution system for an electrochemical energy storage power station. The present invention determines harmonic anomaly characterization parameters by combining collected load characteristics with the sound volume of each transformer to classify the harmonic anomaly tendency of power transmission, and selects corresponding modules for identification and detection, including respectively obtaining the sound volume of each transformer to construct a time domain curve of sound volume change, determining the abnormal voltage transformation time domain segment and the corresponding abnormal transformer based on the comparison of the sound volume fluctuation amount of the sub-time domain segment, obtaining the surface image of the abnormal transformer in the abnormal voltage transformation time domain segment, analyzing the texture characteristics, determining whether the transmission process is abnormal, and suspending the power transmission of the transmission path where the abnormal transformer is located; and regularly detecting the loss degree of the transmission line. The present invention helps to accurately grasp the operating status of the entire power distribution process, promptly discover abnormal conditions in the power transmission process and potential distribution line loss problems, and ensure the quality and safety of power transmission.

Description

Technical Field

[0001] The present invention relates to the field of integrated power distribution in power stations, and in particular to an integrated power distribution system for electrochemical energy storage power stations. Background Art

[0002] In the context of energy transformation, based on the advantages of electrochemical energy storage and its important role in the power system, and considering the needs of multi-device collaboration and comprehensive monitoring and management in electrochemical energy storage power stations, an integrated distribution system that can achieve efficient collaboration, information sharing, and comprehensive monitoring and management has become a necessary choice. The integrated distribution system comprehensively monitors and manages various equipment and operating parameters in the electrochemical energy storage power station to ensure the efficient operation and safety of the electrochemical energy storage power station.

[0003] Chinese patent application publication number: CN116070140A, discloses a distribution substation safe operation status monitoring system and method. The method uses an intelligent sensor layer to collect status data of the distribution substation before a fault at different sampling points, and performs data normalization and standardized data preprocessing on the collected status data; constructs an array composed of multiple groups of normalized values, calculates the distance between the array data to characterize the degree of data anomaly, and removes status data of sampling points with distances greater than a threshold; predicts the remaining life of the distribution substation corresponding to normal status data; extracts the current waveform at the time of the fault and constructs a feature value sequence; and uses a wavelet neural network to analyze the status data and classify the operating status.

[0004] However, the existing technology still has the following problems: it is impossible to monitor the operating status of the entire power transmission process of the distribution station in real time, it is difficult to grasp the potential abnormal risks in the transmission process, and the quality and safety of power transmission are reduced. Summary of the Invention

[0005] To this end, the present invention provides an integrated power distribution system for an electrochemical energy storage power station to overcome the problems in the prior art, such as the inability to monitor the operating status of the entire power transmission process of the distribution station in real time, the difficulty in grasping the potential abnormal risks in the transmission process, and the reduction in the quality and safety of power transmission.

[0006] To achieve the above objectives, the present invention provides an integrated power distribution system for an electrochemical energy storage power station, comprising:

[0007] An information collection module, comprising a plurality of sound volume detection units provided on each transformer for collecting the sound volume of the transformer, a data receiving unit for receiving the load characteristics of the nonlinear load in the power transmission path where the transformer is located, and a temperature collection unit for collecting the temperature of the transmission line;

[0008] a transmission analysis module connected to the information acquisition module, configured to determine harmonic anomaly characterization parameters based on the load characteristics in combination with the sound volume of each transformer, so as to classify the harmonic anomaly tendency of the power transmission;

[0009] An abnormality identification module, which is connected to the scheduling module, the information collection module, and the transmission analysis module, respectively, to obtain the sound volume of each transformer to construct a time domain curve of sound volume change, and determine the abnormal transformer time domain segment and the corresponding abnormal transformer based on the comparison of the sound volume fluctuation amount of the sub-time domain segment;

[0010] a texture recognition module, connected to the scheduling module and the abnormality recognition module, respectively, for obtaining a surface image of the abnormal transformer in the abnormal voltage transformation time domain, analyzing texture features, and determining whether an abnormality occurs in the transmission process, thereby suspending the power transmission of the transmission path where the abnormal transformer is located;

[0011] a normal detection module, connected to the calling module and the information collection module respectively, for regularly detecting the degree of loss of the transmission line;

[0012] A scheduling module is connected to the transport analysis module and is used to select and call the anomaly recognition module, texture recognition module and normality detection module based on the analysis result of the transport analysis module.

[0013] Furthermore, the process of the transmission analysis module determining harmonic anomaly characterization parameters based on the load characteristics and the sound volume of each transformer includes:

[0014] using the sum of the ratio of the number of nonlinear loads to the number threshold and the ratio of the average power of the nonlinear loads to the power threshold as the first harmonic abnormality feature;

[0015] The ratio of the sound volume of each voice changer to the sound volume threshold is used as the second harmonic abnormality feature;

[0016] The first harmonic abnormality feature and the second harmonic abnormality feature are weighted and summed to determine a harmonic abnormality characterization parameter.

[0017] Furthermore, the transmission analysis module is used to classify the harmonic abnormality tendency categories of the power transmission, including:

[0018] If the harmonic anomaly characterization parameter is greater than or equal to the harmonic anomaly characterization parameter threshold, the harmonic anomaly tendency of the electric energy transmission is determined to be a high anomaly tendency category;

[0019] If the harmonic abnormality characterization parameter is less than the harmonic abnormality characterization parameter threshold, it is determined that the harmonic abnormality tendency of the electric energy transmission is a low abnormality tendency category.

[0020] Furthermore, the recognition and analysis module is used to select and call the abnormality recognition module, texture recognition module and normality detection module based on the analysis result of the transport analysis module, including:

[0021] If the harmonic abnormal tendency of the power transmission is a high abnormal tendency category, the abnormality recognition module and the texture recognition module are called;

[0022] If the harmonic abnormal tendency of the power transmission is a low abnormal tendency category, the normal detection module is called.

[0023] Furthermore, the process of the abnormal change identification module for determining the abnormal voltage transformation time domain segment and the corresponding abnormal transformer according to the sound volume fluctuation amount comparison of the sub-time domain segments includes:

[0024] Comparing the volume fluctuation of each sub-time segment with the volume fluctuation of an adjacent sub-time segment corresponding to the sub-time segment to obtain a difference in volume fluctuation;

[0025] If the sound volume fluctuation difference in any sub-time domain segment is greater than or equal to the sound volume fluctuation difference threshold, the sub-time domain segment is determined to be a voltage abnormality time domain segment, and the transformer with the voltage abnormality time domain segment is determined to be an abnormal transformer.

[0026] Furthermore, the texture recognition module is used to obtain the surface image of the abnormal transformer in the abnormal transformer time domain, and the process of analyzing the texture features includes:

[0027] Preprocessing the surface image of the transformer, wherein the preprocessing includes grayscale conversion and noise reduction of the surface image;

[0028] It is used to identify the wrinkle contours in the pre-processed surface image and determine the surface protrusion wrinkle height corresponding to each wrinkle contour.

[0029] Furthermore, the texture recognition module is used to determine whether there is any abnormality in the conveying process, including:

[0030] The ratio of the sound volume of the abnormal transformer in the abnormal voltage transformation time domain to the sound volume abnormality threshold is used as the first transmission abnormality feature;

[0031] The ratio of the surface protrusion wrinkle height to the surface protrusion wrinkle height threshold is used as the second abnormal transport feature;

[0032] for determining a sum of the first abnormal delivery feature and the second abnormal delivery feature as a delivery abnormality characterization value;

[0033] If the transport abnormality characterization value is greater than or equal to the transport abnormality characterization threshold value, it is determined that an abnormality occurs in the transport process.

[0034] Furthermore, the texture recognition module is used to suspend the power transmission of the transmission path where the abnormal transformer is located, including:

[0035] If an abnormality occurs during the transmission process, the power transmission along the transmission path where the abnormal transformer is located will be suspended.

[0036] Furthermore, the normal detection module is used to regularly detect the loss degree of the transmission line, including:

[0037] Used to obtain the transmission line temperature collected by the temperature collection unit;

[0038] used to determine a transmission line temperature threshold interval corresponding to the transmission line temperature;

[0039] The loss degree corresponds to the temperature threshold range of the transmission line one by one.

[0040] Furthermore, it also includes a prompt warning module, which is connected to the abnormality recognition module, the texture recognition module and the normality detection module respectively, and is used to issue a warning prompt signal in response to the analysis results of the abnormality recognition module, the texture recognition module and the normality detection module.

[0041] Compared with the prior art, the present invention determines harmonic anomaly characterization parameters through the collected load characteristics combined with the sound volume of each transformer to classify the harmonic anomaly tendency categories of power transmission, and selects corresponding modules for identification and detection, including obtaining the sound volume of each transformer separately to construct a time domain curve of sound volume change, determining the abnormal transformer time domain segment and the corresponding abnormal transformer based on the comparison of the sound volume fluctuation amount of the sub-time domain segment, obtaining the surface image of the abnormal transformer in the abnormal transformer time domain segment, analyzing the texture characteristics, and determining whether the transmission process is abnormal, so as to suspend the power transmission of the transmission path where the abnormal transformer is located; regularly detecting the loss degree of the transmission line. The present invention helps to accurately grasp the operating status of the entire distribution process, promptly discover abnormal conditions in the power transmission process and potential distribution line loss problems, and ensure the quality and safety of power transmission.

[0042] In particular, the present invention determines harmonic anomaly characterization parameters by combining the load characteristics of nonlinear loads with the sound volume of each transformer, and extracts the nonlinear loads present in the power station during the power transmission process. The nonlinear loads will generate harmonic currents of different frequencies during operation, and these harmonic currents will be injected into the equipment passed through during the power transmission process. Therefore, the two characteristics of the number of nonlinear loads and the average power of each nonlinear load that are representative and can reflect the potential possibility and intensity of harmonic generation are included in the consideration range of the degree of harmonic generation in the power transmission process. At the same time, the generation of harmonics will often have a corresponding impact on the transformer, and even the operating state of the transformer will change accordingly in a harmonic environment. For example, since the transformer winding has an inductive characteristic, when harmonics exist in the power transmission process, when the harmonic current passes through the transformer winding, it will generate additional magnetic fields around the winding according to the principle of electromagnetic induction. These additional magnetic fields interact with components such as the transformer core to generate additional electromagnetic forces, which will cause the transformer core, winding and other components to vibrate, and these vibrations will be in the form of sound waves. at the same time, harmonic current may cause the current to concentrate in a local area of the winding, thereby increasing the electromagnetic force on the winding, which in turn leads to uneven air distribution of the winding, resulting in deformation, displacement, etc., and then vibration, which increases the sound volume of the transformer; not only that, when the harmonic current flows in the transformer core, it will cause a certain degree of loss to the core, causing the core temperature to rise, causing changes such as thermal expansion of the core material, and generating corresponding vibrations, thereby increasing the sound volume of the transformer. Therefore, the present application combines the above factors to comprehensively determine the harmonic anomaly characterization parameters to characterize the potential degree of harmonic generation in the power transmission process and the degree of abnormal tendency brought by the harmonics, providing data support for the subsequent classification of harmonic abnormality tendency categories of power transmission, more comprehensively and accurately identifying the possibility of harmonic generation and the degree of abnormality in the power transmission process, and helping to take more targeted corresponding measures to improve harmonic anomaly problems, avoid the impact of harmonics on distribution equipment and power quality, and ensure the quality of power transmission and the normal operation of distribution station equipment.

[0043] In particular, the present invention carries out targeted processing according to the harmonic abnormal tendency category of electric energy transmission. When the harmonic abnormal tendency of electric energy transmission is a high abnormal tendency category, a time domain curve of the sound volume change of each transformer during the electric energy transmission process is constructed. By comparing the sub-time domain segments of the sound volume change time domain curve, the abnormal sub-time domain segments with significantly different sound volume fluctuations from the normal sub-time domain segments are effectively screened out to determine the abnormal transformer time domain segment, accurately locate the abnormal transformer, and improve the accuracy and timeliness of abnormality detection. Furthermore, the image of the abnormal transformer is obtained and pre-processed by grayscale and denoising to improve the image quality and highlight the texture feature information on the surface of the abnormal transformer. The local temperature rise caused by the harmonics generated during the electric energy transmission process causes thermal expansion of the components of the transformer, and Due to the different degrees of heat exposure and uneven thermal expansion in different parts, the transformer surface will produce irregular deformation, for example, local bulges and wrinkles will appear on the transformer surface. Therefore, the transmission abnormality characterization value is comprehensively determined based on the height of the surface bulges and wrinkles of the abnormal transformer and the sound volume of the abnormal transformer in the abnormal transformation time domain to characterize the abnormal degree of power transmission and provide data support for the subsequent determination of whether the transmission process is abnormal. If it is determined that the transmission process is abnormal, the power transmission of the transmission path where the abnormal transformer is located is immediately suspended. Through timely suspension response measures, the further spread of the abnormal situation is prevented, and greater harm to the entire power transmission, such as equipment damage and power interruption, is avoided. The safety and stability of power transmission is effectively guaranteed, and the negative impact and losses that may be caused by transformer abnormality are reduced.In the case where the harmonic abnormal tendency of electric energy transmission is of the low abnormal tendency category, the present application takes into account the increase in line resistance loss, the aggravation of skin effect and the proximity effect caused by the harmonics generated in the electric energy transmission process, which in turn increases the temperature of the transmission line. Therefore, the temperature of the transmission line reflects the operating status of the transmission line and infers the degree of loss of the transmission line. By regularly detecting the temperature of the transmission line, the change in the degree of loss of the transmission line can be understood. For example, with long-term use and changes in transmission load, the degree of loss of the transmission line will also change. These changes can be captured in time through regular detection, so that before the degree of loss of the transmission line reaches a threshold value that may affect the safety or efficiency of transmission, corresponding maintenance measures can be taken. The transmission line temperature obtained by detection is compared with the transmission line temperature. The present invention can effectively use temperature data, the intervals divided, and the corresponding transmission line loss levels to accurately monitor and manage transmission line losses, providing a strong guarantee for the stable operation of the transmission system. Furthermore, the present invention uses temperature as a starting point to assess the degree of transmission line loss, which is a relatively convenient and effective method. It eliminates the need for additional equipment specifically designed to detect transmission line loss, thereby reducing monitoring costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a functional module diagram of an integrated power distribution system of an electrochemical energy storage power station according to an embodiment of the invention;

[0045] Figure 2 A logic decision diagram for classifying the harmonic abnormality tendency categories of a power station during the power transmission process according to an embodiment of the invention;

[0046] Figure 3 A logic decision diagram for determining a voltage transformation abnormality time domain segment according to an embodiment of the invention;

[0047] Figure 4 This is a logic decision diagram for determining whether an abnormality occurs in the conveying process according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0049] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0050] It should be noted that, in the description of the present invention, terms such as "upper" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0051] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the term "connection" should be understood in a broad sense. For example, it can refer to a fixed connection, a detachable connection, or an integral connection; it can refer to a mechanical connection or an electrical connection. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0052] See also Figures 1 to 4 As shown, Figure 1 This is a functional module diagram of an integrated power distribution system of an electrochemical energy storage power station according to an embodiment of the present invention. Figure 2 A logical decision diagram for classifying the harmonic abnormality tendency categories of a power station during the power transmission process according to an embodiment of the present invention is provided. Figure 3 This is a logic decision diagram for determining the abnormal transformer time domain according to an embodiment of the present invention. Figure 4 This is a logic determination diagram for determining whether an abnormality occurs in the transmission process according to an embodiment of the present invention. The integrated power distribution system of the electrochemical energy storage power station according to an embodiment of the present invention includes:

[0053] An information collection module, comprising a plurality of sound volume detection units provided on each transformer for collecting the sound volume of the transformer, a data receiving unit for receiving the load characteristics of the nonlinear load in the power transmission path where the transformer is located, and a temperature collection unit for collecting the temperature of the transmission line;

[0054] a transmission analysis module connected to the information acquisition module, configured to determine harmonic anomaly characterization parameters based on the load characteristics in combination with the sound volume of each transformer, so as to classify the harmonic anomaly tendency of the power transmission;

[0055] An abnormality identification module, which is connected to the scheduling module, the information collection module, and the transmission analysis module, respectively, to obtain the sound volume of each transformer to construct a time domain curve of sound volume change, and determine the abnormal transformer time domain segment and the corresponding abnormal transformer based on the comparison of the sound volume fluctuation amount of the sub-time domain segment;

[0056] a texture recognition module, connected to the scheduling module and the abnormality recognition module, respectively, for obtaining a surface image of the abnormal transformer in the abnormal voltage transformation time domain, analyzing texture features, and determining whether an abnormality occurs in the transmission process, thereby suspending the power transmission of the transmission path where the abnormal transformer is located;

[0057] a normal detection module, connected to the calling module and the information collection module respectively, for regularly detecting the degree of loss of the transmission line;

[0058] A scheduling module is connected to the transport analysis module and is used to select and call the anomaly recognition module, texture recognition module and normality detection module based on the analysis result of the transport analysis module.

[0059] Specifically, there is no specific limitation on the structure of the sound volume detection unit. It only needs to have the function of detecting the sound volume of the transformer. It can be any device that can achieve the corresponding function in the existing technology, such as a sound level meter, which will not be described in detail here.

[0060] In this embodiment, the transformer sound volume refers to the sound intensity of the transformer.

[0061] It is understandable that the power transmission path can be determined based on the path between the electrochemical energy storage power station and the power demanding facilities, which will not be elaborated here.

[0062] Specifically, there is no specific limitation on the composition and structure of the data receiving unit, which can be a logical component. For the load characteristics of the nonlinear load, technical personnel in this field can examine the power transmission path in advance, obtain the load characteristics of the nonlinear load, and then input them into the data receiving unit.

[0063] It can be understood that in line transmission, a nonlinear load refers to a load whose current and voltage do not follow Ohm's law, and there is a complex nonlinear relationship between current and voltage. For example, the current and voltage relationship of a diode follows an exponential law, and the current and voltage relationship of a transistor follows a square law. Nonlinear loads have the characteristic of causing distortion of the sinusoidal waveform of the voltage or current in the power system. Because there is a complex nonlinear relationship between the current and voltage of the nonlinear load, non-integer harmonics are easily generated, leading to harmonic pollution of the power system. This distortion will affect the stability and reliability of the power system, and may cause voltage fluctuations and reduce the transmission efficiency of the line. Among them, common nonlinear loads include power adapters, AC motor drives, frequency converters, inverters, etc.

[0064] Specifically, there is no limitation on the specific structures of the transport analysis module, anomaly recognition module, texture recognition module, normal detection module, scheduling module and prompt warning module. They themselves or each unit therein can be composed of logic components or a combination of logic components, and the logic components include field programmable processors, computers or microprocessors in computers.

[0065] Specifically, the process of the transmission analysis module determining harmonic anomaly characterization parameters based on the load characteristics and the sound volume of each transformer includes:

[0066] using the sum of the ratio of the number of nonlinear loads to the number threshold and the ratio of the average power of the nonlinear loads to the power threshold as the first harmonic abnormality feature;

[0067] The ratio of the sound volume of each voice changer to the sound volume threshold is used as the second harmonic abnormality feature;

[0068] The first harmonic abnormality feature and the second harmonic abnormality feature are weighted and summed to determine a harmonic abnormality characterization parameter.

[0069] In this embodiment, the weight of the first harmonic abnormal feature is set to 0.45, and the weight of the second harmonic abnormal feature is set to 0.55.

[0070] In this embodiment, the number threshold of nonlinear loads, the power threshold of nonlinear loads, and the sound volume threshold of the transformer are pre-set. Load characteristics in several power transmission paths of the electrochemical energy storage power station are obtained, and the number data of nonlinear loads, the power data of nonlinear loads, and the sound volume data of the transformer are extracted. The number mean of nonlinear loads, the power mean of nonlinear loads, and the sound volume mean of the transformer are solved. The number threshold of nonlinear loads is set to 1.02 to 1.12 times the number mean of nonlinear loads, the power threshold of nonlinear loads is set to 1.08 to 1.16 times the power mean of nonlinear loads, and the sound volume threshold of the transformer is set to 1.04 to 1.17 times the sound volume mean of the transformer.

[0071] The present invention determines harmonic anomaly characterization parameters by combining the load characteristics of nonlinear loads with the sound volume of each transformer, and extracts the nonlinear loads present in the power station during the power transmission process. Nonlinear loads generate harmonic currents of different frequencies during operation, and these harmonic currents are injected into the equipment passed through during the power transmission process. Therefore, two representative characteristics that can reflect the potential possibility and intensity of harmonic generation, namely the number of nonlinear loads and the average power of each nonlinear load, are taken into consideration when considering the degree of harmonic generation during the power transmission process.

[0072] At the same time, the generation of harmonics will often have a corresponding impact on the transformer, and even the operating state of the transformer will change in a harmonic environment. For example, since the transformer winding has inductive characteristics, when harmonics exist in the power transmission process, when the harmonic current passes through the transformer winding, it will generate additional magnetic fields around the winding according to the principle of electromagnetic induction. These additional magnetic fields interact with components such as the transformer core, generating additional electromagnetic forces, which will cause the transformer core, winding and other components to vibrate. These vibrations will propagate outward in the form of sound waves, thereby increasing the sound volume of the transformer; at the same time, harmonic currents may cause current to concentrate in local areas of the winding, thereby increasing the electromagnetic force on the winding, resulting in uneven force distribution on the winding, deformation, displacement, etc., and then generating vibrations, which increase the sound volume of the transformer.

[0073] Moreover, when harmonic current flows in the transformer core, it will cause a certain degree of loss to the core, causing the core temperature to rise, resulting in changes such as thermal expansion of the core material, and generating corresponding vibrations, thereby increasing the volume of the transformer. Therefore, this application combines the above factors to comprehensively determine the harmonic anomaly characterization parameters to characterize the potential degree of harmonic generation in the power transmission process and the degree of abnormal tendency brought by the harmonics, providing data support for the subsequent classification of harmonic abnormality tendency categories in power transmission, and more comprehensively and accurately identifying the possibility and degree of abnormality of harmonic generation in the power transmission process, which helps to take corresponding measures more targeted to improve harmonic anomaly problems, avoid the impact of harmonics on distribution equipment and power quality, and ensure the quality of power transmission and the normal operation of distribution station equipment.

[0074] Specifically, the transmission analysis module is used to classify the harmonic abnormality tendency categories of the power transmission, including:

[0075] If the harmonic anomaly characterization parameter is greater than or equal to the harmonic anomaly characterization parameter threshold, the harmonic anomaly tendency of the electric energy transmission is determined to be a high anomaly tendency category;

[0076] If the harmonic abnormality characterization parameter is less than the harmonic abnormality characterization parameter threshold, it is determined that the harmonic abnormality tendency of the electric energy transmission is a low abnormality tendency category.

[0077] The threshold value of the harmonic anomaly characterization parameter is selected in the interval [1.74, 2.16].

[0078] Specifically, the recognition and analysis module is used to select and call the abnormality recognition module, texture recognition module and normality detection module based on the analysis results of the transport analysis module, including:

[0079] If the harmonic abnormal tendency of the power transmission is a high abnormal tendency category, the abnormality recognition module and the texture recognition module are called;

[0080] If the harmonic abnormal tendency of the power transmission is a low abnormal tendency category, the normal detection module is called.

[0081] It is understandable that after calling the corresponding module, the corresponding module can execute the corresponding function and complete the relevant logical judgment or operation, which will not be repeated here.

[0082] Specifically, the process of the abnormal change identification module for determining the abnormal voltage transformation time domain segment and the corresponding abnormal transformer according to the sound volume fluctuation amount comparison of the sub-time domain segment includes:

[0083] It is used to compare the sound volume fluctuation of each sub-time domain segment with the sound volume fluctuation of the adjacent sub-time domain segment corresponding to the sub-time domain segment, and solve the sound volume fluctuation difference. It can be understood that when solving the sound volume fluctuation difference, the sound volume fluctuation of the sub-time domain segment should be subtracted from the average of the sound volume fluctuations of the adjacent sub-time domain segments to obtain the sound volume fluctuation difference.

[0084] If the sound volume fluctuation difference in any sub-time domain segment is greater than or equal to the sound volume fluctuation difference threshold, the sub-time domain segment is determined to be a voltage abnormality time domain segment, and the transformer with the voltage abnormality time domain segment is determined to be an abnormal transformer.

[0085] In this embodiment, the sound volume fluctuation difference threshold is pre-set. The sound volume fluctuation difference data under normal operation of several circuit transmission paths are called to solve the average of the sound volume fluctuation differences. The sound volume fluctuation difference threshold is set to 1.05 times to 1.13 times the average of the sound volume fluctuation differences.

[0086] In this embodiment, the time domain curve of the volume change is constructed as follows:

[0087] A rectangular coordinate system is constructed with time as the horizontal axis and transformer sound volume as the vertical axis;

[0088] Marking the coordinate points of the transformer sound volume at each moment in the rectangular coordinate system;

[0089] Connecting the coordinate points with a smooth curve to obtain a time domain change curve of the sound volume change;

[0090] Specifically, there is no limitation on the method of constructing each time domain curve. For example, the time domain curve can be fitted by using matlab related fitting software, which will not be described in detail.

[0091] Specifically, the texture recognition module is used to obtain the surface image of the abnormal transformer in the abnormal transformer time domain, and the process of analyzing the texture features includes:

[0092] Preprocessing the surface image of the transformer, wherein the preprocessing includes grayscale conversion and noise reduction of the surface image;

[0093] It is used to identify the wrinkle contours in the pre-processed surface image and determine the surface protrusion wrinkle height corresponding to each wrinkle contour.

[0094] It is understandable that there is no limitation on the method of collecting the surface image of the abnormal transformer. A depth image acquisition device for obtaining the surface image can be pre-installed on one side of the transformer. Of course, for partially exposed transformers, a patrol mobile cart equipped with a depth image acquisition device can be used to collect the surface image. Of course, other methods can also be used, which will not be repeated here.

[0095] Specifically, the texture recognition module is used to determine whether there is an abnormality in the conveying process, including:

[0096] The ratio of the sound volume of the abnormal transformer in the abnormal voltage transformation time domain to the sound volume abnormality threshold is used as the first transmission abnormality feature;

[0097] The ratio of the surface protrusion wrinkle height to the surface protrusion wrinkle height threshold is used as the second abnormal transport feature;

[0098] for determining a sum of the first abnormal delivery feature and the second abnormal delivery feature as a delivery abnormality characterization value;

[0099] If the transport abnormality characterization value is greater than or equal to the transport abnormality characterization threshold, it is determined that an abnormality occurs in the transport process;

[0100] If the transport abnormality characterization value is less than the transport abnormality characterization threshold value, it is determined that no abnormality occurs in the transport process.

[0101] The threshold for abnormal sound volume is 2.15 to 2.24 times the sound volume threshold;

[0102] In this embodiment, the surface bulge and wrinkle height threshold of the abnormal transformer is pre-set, the surface image data of each transformer in the historical data is obtained, the surface bulge and wrinkle height data of each transformer is extracted, the average surface bulge and wrinkle height is solved, and the surface bulge and wrinkle height threshold is set to 1.45 times to 1.75 times the average surface bulge and wrinkle height.

[0103] The transport anomaly characterization threshold is selected within the interval [1.64, 1.73].

[0104] Specifically, the abnormal adjustment unit is used to suspend the power transmission of the transmission path where the abnormal transformer is located, including:

[0105] If an abnormality occurs during the transmission process, the power transmission along the transmission path where the abnormal transformer is located will be suspended;

[0106] If there is no abnormality in the transmission process, there is no need to suspend the power transmission on the transmission path where the abnormal transformer is located.

[0107] Specifically, the normal detection module is used to regularly detect the loss level of the transmission line, including:

[0108] Used to obtain the transmission line temperature collected by the temperature collection unit;

[0109] used to determine a transmission line temperature threshold interval corresponding to the transmission line temperature;

[0110] The loss degree corresponds to the temperature threshold range of the transmission line one by one.

[0111] In this embodiment, the transmission line temperature threshold F0 is pre-set. The transmission line temperature data during the electric energy transmission process of the electrochemical energy storage power station is called to solve the transmission line temperature average. The transmission line temperature threshold is set to 1.06 to 1.14 times the transmission line temperature average.

[0112] When the temperature of the transmission line is within a first transmission line temperature threshold interval, the transmission line is determined to be at a low loss level, wherein the first transmission line temperature threshold interval is [1.23F0, 1.68F0];

[0113] When the temperature of the transmission line is within the second transmission line temperature threshold range, the transmission line is determined to be at a medium loss level, wherein the second transmission line temperature threshold range is [1.69F0, 2.07F0];

[0114] When the temperature of the transmission line is within a third transmission line temperature threshold interval, it is determined that the transmission line has a high loss level, wherein the third transmission line temperature threshold interval is [2.08F0, 2.51F0].

[0115] The present invention performs targeted processing according to the harmonic abnormality tendency category of electric energy transmission. When the harmonic abnormality tendency of electric energy transmission is a high abnormality tendency category, a time domain curve of the sound volume change of each transformer during the electric energy transmission process is constructed. By comparing the various sub-time domain segments of the sound volume change time domain curve, abnormal sub-time domain segments with sound volume fluctuations that are significantly different from normal sub-time domain segments are effectively screened out, so as to determine the abnormal transformer time domain segment and accurately locate the abnormal transformer, thereby improving the accuracy and timeliness of abnormality detection.

[0116] Furthermore, an image of the abnormal transformer is obtained and preprocessed with grayscale conversion and denoising to improve image quality and highlight the texture feature information on the surface of the abnormal transformer. Due to the local temperature increase caused by the harmonics generated during the power transmission process, the components of the transformer undergo thermal expansion. Due to the different degrees of heating in different parts and the uneven thermal expansion, the transformer surface undergoes irregular deformation, such as local protrusions and wrinkles on the transformer surface. Therefore, a transmission anomaly characterization value is determined based on the height of the surface protrusions and wrinkles of the abnormal transformer and the sound volume of the abnormal transformer during the abnormal transformation time domain to characterize the degree of power transmission anomaly. This provides data support for subsequent determination of whether the transmission process is abnormal. If the transmission process is determined to be abnormal, the power transmission of the transmission path where the abnormal transformer is located is immediately suspended. Through timely suspension response measures, the further spread of the abnormal situation is prevented, avoiding greater harm to the entire power transmission, such as equipment damage and power outages. This effectively ensures the safety and stability of power transmission and reduces the negative impact and losses that may be caused by transformer anomalies.

[0117] In the case where the harmonic abnormal tendency of electric energy transmission is of the low abnormal tendency category, the present application takes into account the increase in line resistance loss, the aggravation of skin effect and the proximity effect caused by the harmonics generated in the electric energy transmission process, which in turn increases the temperature of the transmission line. Therefore, the temperature of the transmission line reflects the operating status of the transmission line and infers the degree of loss of the transmission line. By regularly detecting the temperature of the transmission line, the change in the degree of loss of the transmission line can be understood. For example, with long-term use and changes in transmission load, the degree of loss of the transmission line will also change. These changes can be captured in time through regular detection, so that before the degree of loss of the transmission line reaches a threshold value that may affect the safety or efficiency of transmission, corresponding maintenance measures can be taken. The transmission line temperature obtained by detection is compared with the transmission line temperature. The temperature threshold interval is matched to determine the loss degree of the transmission line and select the appropriate maintenance method. For example, if the loss degree of the transmission line is high, a more detailed inspection of the transmission line may be required, such as detecting whether the line connection parts are loose or whether there is local overheating, and promptly repairing or replacing damaged parts, thereby effectively extending the service life of the transmission line and ensuring the safe and stable operation of the transmission line. The present invention can effectively utilize temperature data, divide the intervals and correspond to the relationship between the loss degree of the transmission line to accurately monitor and manage the loss of the transmission line, providing a strong guarantee for the stable operation of the transmission system. At the same time, the present invention uses temperature as the entry point to evaluate the loss degree of the transmission line, which is a relatively convenient and effective method. There is no need to set up additional equipment specifically for detecting transmission line loss, which reduces the monitoring cost.

[0118] Specifically, it also includes a prompt warning module, which is connected to the abnormality recognition module, the texture recognition module and the normality detection module respectively, and is used to issue a warning prompt signal in response to the analysis results of the abnormality recognition module, the texture recognition module and the normality detection module.

[0119] In this embodiment, if the abnormality recognition module determines that there is an abnormal transformer or / and the texture recognition module determines that there is an abnormality in the transmission process or / and the normality detection module completes the detection of the degree of transmission line loss, it is determined to issue an early warning signal;

[0120] Among them, the early warning signals include the location of the abnormal transformer, the power transmission path and the degree of loss of the transmission line.

[0121] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An integrated power distribution system for an electrochemical energy storage power station, characterized in that: include: An information acquisition module, comprising a plurality of sound volume detection units provided on each transformer for collecting the sound volume of the transformer, a data receiving unit for obtaining the load characteristics of the nonlinear load in the power transmission path where the transformer is located, and a temperature acquisition unit for collecting the temperature of the transmission line; a transmission analysis module connected to the information acquisition module, configured to determine harmonic anomaly characterization parameters based on the load characteristics and the sound volume of each transformer, so as to classify the harmonic anomaly tendency of power transmission; An abnormality identification module, which is connected to the scheduling module, the information collection module, and the transmission analysis module, respectively, to obtain the sound volume of each transformer to construct a time domain curve of sound volume change, and determine the abnormal transformer time domain segment and the corresponding abnormal transformer based on the comparison of the sound volume fluctuation amount of the sub-time domain segment; a texture recognition module, connected to the scheduling module and the abnormality recognition module, respectively, for obtaining a surface image of the abnormal transformer in the abnormal voltage transformation time domain, analyzing texture features, and determining whether an abnormality occurs in the transmission process, thereby suspending the power transmission of the transmission path where the abnormal transformer is located; a normal detection module, connected to the calling module and the information collection module respectively, for regularly detecting the degree of loss of the transmission line; a scheduling module connected to the transport analysis module and configured to select and call the anomaly recognition module, the texture recognition module, and the normality detection module based on the division result of the transport analysis module; The process of the transmission analysis module determining harmonic abnormality characterization parameters based on the load characteristics and the sound volume of each transformer includes: using the sum of the ratio of the number of nonlinear loads to the number threshold and the ratio of the average power of the nonlinear loads to the power threshold as the first harmonic abnormality feature; The ratio of the sound volume of each voice changer to the sound volume threshold is used as the second harmonic abnormality feature; The first harmonic abnormality feature and the second harmonic abnormality feature are weighted and summed to determine a harmonic abnormality characterization parameter.

2. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: The transmission analysis module is used to classify the harmonic abnormality tendency of power transmission. include, If the harmonic anomaly characterization parameter is greater than or equal to the harmonic anomaly characterization parameter threshold, the harmonic anomaly tendency of the electric energy transmission is determined to be a high anomaly tendency category; If the harmonic abnormality characterization parameter is less than the harmonic abnormality characterization parameter threshold, it is determined that the harmonic abnormality tendency of the electric energy transmission is a low abnormality tendency category.

3. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: The scheduling module is used to select and call the abnormality recognition module, texture recognition module and normality detection module based on the analysis result of the transportation analysis module, including: If the harmonic abnormal tendency of the power transmission is a high abnormal tendency category, the abnormality recognition module and the texture recognition module are called; If the harmonic abnormal tendency of the power transmission is a low abnormal tendency category, the normal detection module is called.

4. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: The process of the abnormal change identification module for determining the abnormal voltage transformation time domain segment and the corresponding abnormal transformer according to the sound volume fluctuation amount comparison of the sub-time domain segment includes: Comparing the volume fluctuation of each sub-time segment with the volume fluctuation of an adjacent sub-time segment corresponding to the sub-time segment to obtain a difference in volume fluctuation; If the sound volume fluctuation difference in any sub-time domain segment is greater than or equal to the sound volume fluctuation difference threshold, the sub-time domain segment is determined to be a voltage abnormality time domain segment, and the transformer with the voltage abnormality time domain segment is determined to be an abnormal transformer.

5. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: The texture recognition module is used to obtain the surface image of the abnormal transformer in the abnormal transformer time domain, and the process of analyzing the texture features includes: Preprocessing the surface image of the transformer, wherein the preprocessing includes grayscale conversion and noise reduction of the surface image; It is used to identify the wrinkle contours in the pre-processed surface image and determine the surface protrusion wrinkle height corresponding to each wrinkle contour.

6. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: The texture recognition module is used to determine whether there is any abnormality in the conveying process, including: The ratio of the sound volume of the abnormal transformer in the abnormal voltage transformation time domain to the sound volume abnormality threshold is used as the first transmission abnormality feature; The ratio of the surface protrusion wrinkle height to the surface protrusion wrinkle height threshold is used as the second abnormal transport feature; for determining a sum of the first abnormal delivery feature and the second abnormal delivery feature as a delivery abnormality characterization value; If the transport abnormality characterization value is greater than or equal to the transport abnormality characterization threshold value, it is determined that an abnormality occurs in the transport process.

7. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: The texture recognition module is used to suspend the power transmission of the transmission path where the abnormal transformer is located, including: If an abnormality occurs during the transmission process, the power transmission along the transmission path where the abnormal transformer is located will be suspended.

8. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: The normal detection module is used to regularly detect the loss degree of the transmission line, including: Used to obtain the transmission line temperature collected by the temperature collection unit; used to determine a transmission line temperature threshold interval corresponding to the transmission line temperature; The loss degree corresponds to the temperature threshold range of the transmission line one by one.

9. The integrated power distribution system of the electrochemical energy storage power station according to claim 1, characterized in that: It also includes a prompt warning module, which is connected to the abnormality recognition module, the texture recognition module and the normality detection module respectively, and is used to issue a warning prompt signal in response to the analysis results of the abnormality recognition module, the texture recognition module and the normality detection module.

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