Automatic processing method and system of flywheel energy storage cable

Abstract

This invention belongs to the field of cross-linked polyethylene insulated power cables and proposes an automatic processing method and system for flywheel energy storage cables. The method includes the following steps: obtaining the cable stress and resistance magnitudes; calculating the cable stress-resistance offset based on the cable stress and resistance magnitudes; selecting cable stress-resistance tilt intervals based on the cable stress-resistance offset; calculating the stress edge concentration fluctuation difference and resistance edge concentration fluctuation difference of the cable stress-resistance tilt intervals, and calculating the stress balance using these fluctuation differences; determining whether the current cable shows signs of breakage based on the stress balance, and performing automatic processing. According to the automatic processing method of this invention, multi-time-point, multi-interval data acquisition and multi-parameter feature modeling within historical feedback cycles can improve the ability to identify the local health status of cross-linked polyethylene insulated power cables in flywheel cable systems.

Description

Technical Field

[0001] This invention belongs to the field of cross-linked polyethylene insulated power cables, specifically relating to an automatic processing method and system for flywheel energy storage cables. Background Technology

[0002] Flywheel energy storage devices typically consist of a high-speed rotating flywheel and a motor / generator unit. During high-speed rotation, the cable needs to transmit a large amount of electrical energy while simultaneously enduring rotational tensile stress, centrifugal inertia, and other dynamic loads. These dynamic loads exert a continuous effect on the cable, causing cable joints and connections to be under asymmetric stress for extended periods. Particularly during operation, certain localized areas of the cable may develop defects such as microcracks, loosening, or shielding damage due to stress concentration, fatigue, or corrosion, resulting in a localized degradation of the cable's performance.

[0003] In addition, the operating environment of flywheel energy storage systems is usually accompanied by periodic mechanical vibration and electromagnetic shock. These external factors may have a very small impact on the cables, but these impacts are difficult to detect in time through traditional monitoring methods. However, if the shielding layer is damaged and not dealt with in time, there will be a great safety hazard. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in related technologies. To this end, the first objective of this invention is to propose an automatic processing method for flywheel energy storage cables, which can improve the ability to identify the local health status of cross-linked polyethylene insulated power cables in flywheel cable systems through multi-time-point, multi-interval data acquisition and multi-parameter feature modeling within historical feedback cycles;

[0005] The second objective of this invention is to provide an automatic handling system for flywheel energy storage cables.

[0006] To achieve the above objectives, a first aspect of the present invention provides an automatic processing method for flywheel energy storage cables, the method comprising the following steps:

[0007] S100, to obtain the cable stress and cable resistance;

[0008] S200 calculates the cable stress offset based on the cable stress and cable resistance.

[0009] S300, the cable resistance tilt interval is selected based on the cable resistance offset;

[0010] S400 calculates the stress edge fluctuation difference and resistance edge fluctuation difference of the cable under tension tilt interval, and calculates the stress balance amount through the stress edge fluctuation difference and resistance edge fluctuation difference of the cable under tension tilt interval.

[0011] The S500 determines whether the current cable shows signs of breakage based on stress balance and handles the issue automatically.

[0012] According to the automatic processing method of the present invention, the ability to identify the local health status of cross-linked polyethylene insulated power cables in the flywheel cable system can be improved by collecting data at multiple time points and intervals within the historical feedback cycle and modeling multiple parameters.

[0013] Further, in step S100, obtaining the cable stress and resistance includes: dividing the cable into [10, 200] equal distance intervals, where the length of each distance interval is denoted as L; setting T as the feedback period, with a value ranging from [12, 48] hours; within the feedback period, counting backwards from the current time for T hours to 1 hour, obtaining the average stress and resistance values ​​of the cable in each distance interval L for each hour from T hours to 1 hour; denoting TLE(i, j) as representing the average cable stress value at the j-th distance interval before the i-th hour, and denoting RET(i, j) as... Let T(i,j) be the cable resistance value at the j-th distance interval before the i-th hour, where i is the time interval number and j is the distance interval number. The value range of i is i = 1, 2, ..., T, and the value range of j is j = 1, 2, ..., k, where k is the number of cable intervals. Let ISM be the maximum value of each stress value in all TLE(i,j), ISS be the minimum value of each stress value in all TLE(i,j), ISP be the average value of each stress value in all TLE(i,j), and LIM be the median of each resistance value in all RET(i,j).

[0014] The methods for obtaining the magnitude of cable stress include: obtaining the tensile stress, compressive stress, or bending stress experienced by the cable during operation by using fiber Bragg grating sensors or strain gauges installed at the cable intervals; the methods for obtaining the magnitude of cable resistance include: calculating the cable resistance value in real time based on Ohm's law by using voltage and current detection devices installed at both ends or in the middle of the cable; or achieving periodic resistance sampling through an embedded bridge structure.

[0015] The cable is a cross-linked polyethylene insulated power cable used for flywheel energy storage.

[0016] In applications such as flywheel energy storage systems, industrial power grid systems, and high-speed rotating power interfaces, flywheel cables are typically long and complex, with multiple mechanical connections or transition devices along their path. Their operating environment often involves high-speed rotation, periodic mechanical vibration, and electromagnetic shock, making them highly susceptible to hidden damage in certain localized areas, such as micro-fractures, loose cores, and damaged shielding. Furthermore, traditional testing methods for cables mostly rely on overall insulation testing, withstand voltage tests, or infrared temperature rise measurements. These methods are difficult to use for precise monitoring of specific sections, only providing an average condition assessment of the entire cable, which may mask early localized damage or sudden defects. In addition, flywheel systems cannot be easily stopped, powered off, or disconnected for inspection during operation, further limiting the feasibility of using high-precision physical detection methods. To address these issues, this invention proposes step S200.

[0017] Furthermore, in step S200, calculating the cable stress offset based on the cable stress and cable resistance includes:

[0018] Let RE(i,j) be the resistance ratio of the cable at the j-th distance interval i hours ago, where RE(i,j) = TLE(i,j) / RET(i,j); calculate the static resistance ratio, where the static resistance ratio is calculated as: REF = ISP / LIM; calculate the absolute value of the offset D(i,j) at each time and position of the feedback cycle, where D(i,j) = |RE(i,j)-REF|; where the resistance ratio reflects the relationship between local stress and resistance at a certain time and space point, and the static resistance ratio is the overall reference standard.

[0019] Create an empty sequence and denote it as the offset absolute value sequence. Import the offset absolute value D(i,j) into the offset absolute value sequence. Obtain the upper quartile TYf of the offset absolute value sequence. Extract the offset absolute values ​​in the offset absolute value sequence that are greater than TYf. Denote the average of all offset absolute values ​​in the offset absolute value sequence that are greater than TYf as the resistance offset TIUR. Here, the resistance offset refers to the statistical measure of the degree of deviation between the resistance ratio of the cable at different time points and spatial locations within a given feedback period and the reference resistance ratio, reflecting an overall offset trend.

[0020] The beneficial effects of this step are as follows: The calculation mechanism of the resistance offset TIUR proposed in this step, by introducing the modeling of the offset degree of the cable resistance ratio within the feedback cycle, and performing anomaly extraction and focusing based on the upper quartile of the statistical offset, overcomes the technical shortcomings of traditional average value detection methods that mask local anomalies; This step utilizes the two-dimensional offset trajectory in time and space to capture the linkage fluctuation of local stress and resistance, which is particularly suitable for scenarios such as flywheel cables with complex structures, frequent disturbances, and easy occurrence of hidden faults. It can accurately identify hidden sections of the cable with abnormal local stress, sudden resistance changes, loose mechanical connections, etc., and achieve real-time status assessment without disconnecting the cable or stopping the machine, which greatly improves the accuracy of fault identification and the safety and reliability of system operation.

[0021] Furthermore, in step S300, selecting the cable resistance tilt interval based on the cable resistance offset includes:

[0022] Let ISY(j) be the average stress magnitude currently experienced by the cable at the j-th distance interval, and let LIY(j) be the resistance magnitude currently experienced by the cable at the j-th distance interval. Obtain the current stress-resistance ratio RKL(j) = ISY(j) / LIY(j) at the j-th distance interval of the cable; Dt(j) = |RKL(j)-REF| at the j-th distance interval of the cable.

[0023] The distance interval where the absolute value of the offset Dt(j) is greater than the resistance offset TIUR is denoted as the cable resistance tilt interval, and the distance index of the cable resistance tilt interval is denoted as f, where f∈j;

[0024] The beneficial effects of this step are as follows: This step enhances the sensitivity to sudden damage by comparing the current and historical offsets, and enables the automatic identification of local dynamic anomalies. Each spatial interval is evaluated one by one, and local hidden problems such as loose connection points or wear in a certain area of ​​the flywheel cable can be identified independently without overall disassembly and inspection. Furthermore, by using the statistical upper limit TIUR as the offset judgment threshold, the influence of normal fluctuations or environmental noise is effectively eliminated.

[0025] In typical scenarios such as flywheel energy storage devices and electric rotating mechanisms, cables often face the following typical problems: the combined effect of rotational tensile stress and centrifugal inertia causes cable joints and connection points to be in a state of asymmetric stress for a long time; local fatigue or mechanical fracture is hidden in the overall structure, only showing slight performance deviations during specific operating stages; high-frequency vibration or electromagnetic pulses induce discontinuous defects such as conductor microcracks, copper core loosening, or shielding damage. Traditional cable diagnostic methods (such as infrared temperature rise, withstand voltage testing, and insulation measurement) mostly focus on section or overall system indicators, making it difficult to accurately judge the above-mentioned micro-scale, section-level, and dynamic nonlinear problems. To solve the above problems, this invention proposes step S400.

[0026] Furthermore, in step S400, the stress accumulation fluctuation difference and resistance accumulation fluctuation difference of the cable resistance tilt interval are calculated, and the stress balance amount is calculated using the stress accumulation fluctuation difference and resistance accumulation fluctuation difference of the cable resistance tilt interval, including:

[0027] The calculation of the stress and resistance fluctuation differences of the cable under resistance tilt intervals includes: Let TLE(i, f) be the average stress value at the f-th distance interval of the cable before the i-th hour, and RET(i, f) be the resistance value at the f-th distance interval of the cable before the i-th hour. Let YARE(f) be the median of the average stress experienced by the cable at distance interval f within the feedback period, and RK(f) be the median of the resistance of the cable at distance interval f within the feedback period. Let Y be the number of cable under resistance tilt intervals. The stress fluctuation difference pu(f) and resistance fluctuation difference ru(f) of the cable under resistance tilt intervals are calculated using YARE(f) and RK(f). The calculation methods for pu(f) and ru(f) are as follows:

[0028]

[0029] Wherein, pu(f) is the average absolute value of the difference between the stress value of the cable at each time interval with the serial number f and the median YARE(f) within the feedback period, which characterizes the historical stress fluctuation of the cable within that interval. ru(f) is the average absolute value of the difference between the resistance value of the cable at each time interval with the serial number f and the median RK(f) within the feedback period, which characterizes the historical resistance fluctuation of the cable within that interval.

[0030] The beneficial effects of this step are as follows: By quantitatively analyzing the stress edge convergence fluctuation difference pu(f) and resistance edge convergence fluctuation difference ru(f) of the cable's resistance tilt interval, the multidimensional fluctuation characteristics of this spatial interval at multiple time points within the feedback cycle are extracted, establishing a joint evaluation mechanism that can effectively reflect the cable's structural stability and conduction stability. In this mechanism, the stress edge convergence fluctuation difference pu(f) is defined as the average deviation between the stress value of this interval at each sampling time within the feedback cycle and the median stress YARE(f) of this segment, reflecting the mechanical load fluctuation characteristics of the cable at this location. If pu(f) is large, it indicates that there are significant historical uneven stress, vibration impact, or cyclic fatigue signs at this location. The resistance edge convergence fluctuation difference ru(f) represents the average deviation between the resistance value of this cable segment within the cycle and the median resistance RK(f) of this segment, reflecting whether the internal connectivity of the conductor is stable. The larger the resistance fluctuation, the more likely it is to represent structural hidden dangers, such as copper core breakage, conductor corrosion, oxidized joints, or moisture infiltration.

[0031] Compared to traditional detection methods, which often rely on single current cable measurements such as insulation resistance, temperature rise, or overall capacitance, and rely on average values ​​across the entire cable section to determine its health status, this invention fails to reflect localized changes. The proposed pu(f) and ru(f) joint analysis method not only introduces a time series dimension but also meticulously extracts historical trends at each spatial interval, enabling the identification of multi-time-point trends rather than simply judging changes based on average values.

[0032] In particular, in environments like flywheel cables where operation is affected by centrifugal force, periodic vibration, and high-frequency rotational disturbances, localized mechanical loosening or internal microcracks can easily lead to minute misalignments in the stress-resistance relationship. This invention can model such interconnected abnormal fluctuations using pu(f) and ru(f), and then use this as the core input for calculating stress balance, enabling adaptive assessment of the cable's health status. This mechanism not only possesses strong spatiotemporal resolution capabilities but can also be combined with automated acquisition systems to achieve edge diagnostic processing, making it particularly suitable for applications in flywheel energy storage devices, wind power generation ring cables, and high-speed rotating motors.

[0033] Furthermore, the stress balance quantity TRT is calculated by the stress edge fluctuation difference and resistance edge fluctuation difference of the cable stress tilt interval; wherein, the stress balance quantity TRT is used to measure the relative stability and abnormal fluctuation of the stress and resistance of the cable in the historical feedback cycle, thereby judging the health status of the cable in the current working state.

[0034] The stress balance quantity TRT consists of two parts. The first part uses the maximum stress value ISM within the historical feedback cycle of the cable as the benchmark value and corrects ISM with coefficients. The coefficients include a correction factor and an amplification factor. The numerator of the correction factor is the sum of the resistance fluctuation difference ru(f) of each cable stress tilt interval within the feedback cycle and the sum of Y times the global resistance median LIM. The denominator of the correction factor is the sum of the resistance median RK(f) of each cable stress tilt interval within the feedback cycle. The amplification factor of 1 is added to the correction factor and then multiplied by ISM to obtain the result of the first part.

[0035] The second part is stress fluctuation compensation. The sum of all pu(f) is divided by the number of cable resistance tilt intervals Y to obtain the average compensation value of stress fluctuation in that interval.

[0036] The beneficial effects of this step are as follows: By constructing a stress balance quantity TRT that combines structural stress characteristics and resistance fluctuations, and based on the historical operating behavior of the cable during the feedback cycle, two core parameters are integrated: First, the historical maximum stress value ISM is used as the base stress value, combined with the resistance edge fluctuation difference ru(f) from the resistance tilt interval and the standard resistance median LIM, to form a resistance state correction factor, thereby achieving structural correction of the stress baseline; Second, the mean value of the stress edge fluctuation difference pu(f) of each interval during the feedback cycle is statistically analyzed to constitute a stress compensation term, which is used to offset the interference caused by periodic fluctuations during normal operation. This two-factor model not only reflects the current stress state of the cable system, but also comprehensively considers its historical structural load-bearing performance and conduction consistency, forming an identification pattern with adaptability, time sensitivity, and structural coupling characteristics.

[0037] Furthermore, in step S500, determining whether the current cable shows signs of breakage based on the stress balance value and performing automatic processing includes:

[0038] For each identified cable tension tilt interval, obtain the average stress value ISY(f) of the cable tension tilt interval at the current time, and combine it with the stress edge fluctuation difference pu(f) of the corresponding number to calculate ISY(f)+pu(f). If the condition ISY(f)+pu(f) is greater than TRT, it is determined that the stress condition of the interval under the current operating state has exceeded the historical safety reference boundary, indicating that there is a structural anomaly or stress imbalance risk. Record the interval number as h, where h∈f.

[0039] Furthermore, the maximum resistance RAM of cable with distance interval number h within the feedback period and the current resistance value LIY(h) of cable with distance interval number h are obtained. If LIY(h) is greater than RAM+ru(h), it indicates that the cable with this distance interval number has significantly exceeded its historical fluctuation limit. This may be due to local broken strands in the internal copper / aluminum conductors, decreased electrical connection quality between conductors due to moisture intrusion or aging, grounding interference caused by shielding layer damage, oxidation, carbonization or fatigue loosening of the joint area, resulting in increased contact resistance.

[0040] When both of the above conditions are met, the cable section at distance interval h is marked as a high-risk area for structural damage. At the same time, the current or mechanical load of the cable port corresponding to the cable section at distance interval h is reduced to avoid overload and mitigate cable damage.

[0041] Optionally, local isolation measures can be initiated to disconnect the cable at distance interval h from its corresponding cable port and automatically switch the power transmission path to ensure that other undamaged cable areas continue to operate normally.

[0042] The beneficial effects of this step are as follows: Due to the long deployment path, complex connection structure, high-speed rotation, periodic vibration, and magnetic interference of flywheel cables, they are prone to developing subtle, imperceptible damage within certain small intervals. Traditional detection methods such as infrared imaging, insulation resistance, or voltage breakdown testing cannot effectively identify this damage. This step addresses these pain points by utilizing the system's typical stress and electrical dual response modes, based on multi-time-period feature extraction and the system's evolutionary trends. It achieves a good balance between ease of engineering deployment and judgment accuracy without relying on external equipment or expensive sensors.

[0043] The beneficial effects of this invention are as follows: by collecting data at multiple time points and intervals within the historical feedback cycle and modeling multiple parameters, a five-stage diagnostic process is constructed, including stress offset analysis, stress tilt identification, extraction of stress edge convergence fluctuation difference / resistance edge convergence fluctuation difference, and dynamic determination of stress balance, which significantly improves the ability to identify the local health status of flywheel cable systems.

[0044] To achieve the above objectives, a second aspect of the present invention also proposes an automatic processing system for flywheel energy storage cables. The automatic processing system for flywheel energy storage cables includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of an automatic processing method for flywheel energy storage cables. The automatic processing system for flywheel energy storage cables operates in computing devices such as desktop computers, laptops, handheld computers, and cloud data centers.

[0045] An automatic processing system for flywheel energy storage cables is used to implement an automatic processing method for flywheel energy storage cables. This method can improve the ability to identify the local health status of cross-linked polyethylene insulated power cables in flywheel cable systems by collecting data at multiple time points and intervals within historical feedback cycles and modeling multi-parameter features. Attached Figure Description

[0046] Figure 1 The diagram shows a flowchart of an automatic processing method for cables used in flywheel energy storage.

[0047] Figure 2 The diagram shows the structure of an automatic processing system for flywheel energy storage cables. Detailed Implementation

[0048] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0049] Figure 1The diagram shows an automated processing method for cables used in flywheel energy storage.

[0050] Reference Figure 1 This invention proposes an automatic processing method for cables used in flywheel energy storage, the method comprising the following steps:

[0051] S100, to obtain the cable stress and cable resistance;

[0052] S200 calculates the cable stress offset based on the cable stress and cable resistance.

[0053] S300, the cable resistance tilt interval is selected based on the cable resistance offset;

[0054] S400 calculates the stress edge fluctuation difference and resistance edge fluctuation difference of the cable under tension tilt interval, and calculates the stress balance amount through the stress edge fluctuation difference and resistance edge fluctuation difference of the cable under tension tilt interval.

[0055] The S500 determines whether the current cable shows signs of breakage based on stress balance and handles the issue automatically.

[0056] According to the automatic processing method of the present invention, the ability to identify the local health status of cross-linked polyethylene insulated power cables in the flywheel cable system can be improved by collecting data at multiple time points and intervals within the historical feedback cycle and modeling multiple parameters.

[0057] Further, in step S100, obtaining the cable stress and cable resistance includes: dividing the cable into 100 equal intervals, where the length of each interval is denoted as L; setting T as the feedback period, where T is 24 hours; within the feedback period, going back T hours to 1 hour from the current time, obtaining the average stress and resistance values ​​of the cable in each interval L for each hour from T hours to 1 hour; denoting TLE(i,j) as the average stress value of the cable at the j-th interval before the i-th hour, and denoting RET(i,j) as the resistance value of the cable at the j-th interval before the i-th hour, where i is the time interval number, j is the interval number, i ranges from i = 1, 2, ..., T, j ranges from j = 1, 2, ..., k, where k is the number of cable intervals; denoting the maximum value of each stress value in all TLE(i,j) as ISM, the minimum value of each stress value in all TLE(i,j) as ISS, and the average value of each stress value in all TLE(i,j).

[0058] The methods for obtaining the magnitude of cable stress include: using a fiber Bragg grating sensor FISO FBG-3000 installed at the cable interval to obtain the tensile stress, compressive stress, or bending stress experienced by the cable during operation; and the methods for obtaining the magnitude of cable resistance include: using an embedded bridge structure Omega Engineering DP25B to achieve periodic resistance sampling.

[0059] The cable is a cross-linked polyethylene insulated power cable used for flywheel energy storage.

[0060] Furthermore, in step S200, calculating the cable stress offset based on the cable stress and cable resistance includes:

[0061] Let RE(i,j) be the strain ratio of the cable at the j-th distance interval i hours ago, where RE(i,j) = TLE(i,j) / RET(i,j); calculate the constant static strain ratio, where the constant static strain ratio is calculated as: REF = ISP / LIM; calculate the absolute value of the offset D(i,j) at each time and position of the feedback cycle, where D(i,j) = |RE(i,j) - REF|;

[0062] Create an empty sequence and denote it as the offset absolute value sequence. Import the offset absolute value D(i,j) into the offset absolute value sequence. Obtain the upper quartile TYf of the offset absolute value sequence. Extract the offset absolute values ​​greater than TYf in the offset absolute value sequence. Denote the average of all offset absolute values ​​greater than TYf in the offset absolute value sequence as the resistance offset TIUR. Here, the resistance offset refers to the statistical measure of the deviation between the resistance ratio of the cable at different time points and spatial locations within a given feedback period and the reference resistance ratio, reflecting an overall offset trend.

[0063] Furthermore, in step S300, selecting the cable resistance tilt interval based on the cable resistance offset includes:

[0064] Let ISY(j) be the average stress magnitude currently experienced by the cable at the j-th distance interval, and let LIY(j) be the resistance magnitude currently experienced by the cable at the j-th distance interval. Obtain the current stress-resistance ratio RKL(j) = ISY(j) / LIY(j) at the j-th distance interval of the cable; Dt(j) = |RKL(j)-REF| at the j-th distance interval of the cable.

[0065] The distance interval where the absolute value of the offset Dt(j) is greater than the resistance offset TIUR is denoted as the cable resistance tilt interval, and the distance index of the cable resistance tilt interval is denoted as f, where f∈j;

[0066] Furthermore, in step S400, the stress accumulation fluctuation difference and resistance accumulation fluctuation difference of the cable resistance tilt interval are calculated, and the stress balance amount is calculated using the stress accumulation fluctuation difference and resistance accumulation fluctuation difference of the cable resistance tilt interval, including:

[0067] The calculation of the stress and resistance fluctuation differences of the cable under resistance tilt intervals includes: Let TLE(i, f) be the average stress value at the f-th distance interval of the cable before the i-th hour, and RET(i, f) be the resistance value at the f-th distance interval of the cable before the i-th hour. Let YARE(f) be the median of the average stress experienced by the cable at distance interval f within the feedback period, and RK(f) be the median of the resistance of the cable at distance interval f within the feedback period. Let Y be the number of cable under resistance tilt intervals. The stress fluctuation difference pu(f) and resistance fluctuation difference ru(f) of the cable under resistance tilt intervals are calculated using YARE(f) and RK(f). The calculation methods for pu(f) and ru(f) are as follows:

[0068]

[0069] Wherein, pu(f) is the average absolute value of the difference between the stress value of the cable at each time interval with the serial number f and the median YARE(f) within the feedback period, which characterizes the historical stress fluctuation of the cable within that interval. ru(f) is the average absolute value of the difference between the resistance value of the cable at each time interval with the serial number f and the median RK(f) within the feedback period, which characterizes the historical resistance fluctuation of the cable within that interval.

[0070] Furthermore, the stress balance quantity TRT is calculated by the stress edge fluctuation difference and resistance edge fluctuation difference of the cable stress tilt interval; wherein, the stress balance quantity TRT is used to measure the relative stability and abnormal fluctuation of the stress and resistance of the cable in the historical feedback cycle, thereby judging the health status of the cable in the current working state.

[0071] The stress balance quantity TRT consists of two parts. The first part uses the maximum stress value ISM within the historical feedback cycle of the cable as the benchmark value and corrects ISM with coefficients. The coefficients include a correction factor and an amplification factor. The numerator of the correction factor is the sum of the resistance fluctuation difference ru(f) of each cable stress tilt interval within the feedback cycle and the sum of Y times the global resistance median LIM. The denominator of the correction factor is the sum of the resistance median RK(f) of each cable stress tilt interval within the feedback cycle. The amplification factor of 1 is added to the correction factor and then multiplied by ISM to obtain the result of the first part.

[0072] The second part is stress fluctuation compensation. The sum of all pu(f) is divided by the number of cable resistance tilt intervals Y to obtain the average compensation value of stress fluctuation in that interval.

[0073] Furthermore, in step S500, determining whether the current cable shows signs of breakage based on the stress balance value and performing automatic processing includes:

[0074] For each identified cable tension tilt interval, obtain the average stress value ISY(f) of the cable tension tilt interval at the current time, and combine it with the stress edge fluctuation difference pu(f) of the corresponding number to calculate ISY(f)+pu(f). If the condition ISY(f)+pu(f) is greater than TRT, it is determined that the stress condition of the interval under the current operating state has exceeded the historical safety reference boundary, indicating that there is a structural anomaly or stress imbalance risk. Record the interval number as h, where h∈f.

[0075] Furthermore, the maximum resistance RAM of cable with distance interval number h within the feedback period and the current resistance value LIY(h) of cable with distance interval number h are obtained. If LIY(h) is greater than RAM+ru(h), it indicates that the cable with this distance interval number has significantly exceeded its historical fluctuation limit. This may be due to local broken strands in the internal copper / aluminum conductors, decreased electrical connection quality between conductors due to moisture intrusion or aging, grounding interference caused by shielding layer damage, oxidation, carbonization or fatigue loosening of the joint area, resulting in increased contact resistance.

[0076] When both of the above conditions are met, the cable section at distance interval h is marked as a high-risk area for structural damage. At the same time, the current or mechanical load of the cable port corresponding to the cable section at distance interval h is reduced to avoid overload and mitigate cable damage.

[0077] Optionally, local isolation measures can be initiated to disconnect the cable at distance interval h from its corresponding cable port and automatically switch the power transmission path to ensure that other undamaged cable areas continue to operate normally.

[0078] Figure 2 The diagram shows the structure of an automatic processing system for flywheel energy storage cables.

[0079] Reference Figure 2The present invention also proposes an automatic processing system 20 for flywheel energy storage cables. The automatic processing system 20 for flywheel energy storage cables includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of an automatic processing method for flywheel energy storage cables. The automatic processing system 20 for flywheel energy storage cables runs on computing devices such as desktop computers, laptops, handheld computers, and cloud data centers.

[0080] The automatic processing system includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program within a unit of the automatic processing system:

[0081] Acquisition unit 21 is used to obtain the magnitude of cable stress and cable resistance;

[0082] The first calculation unit 22 is used to calculate the cable stress offset by the magnitude of cable stress and cable resistance.

[0083] Screening unit 23 is used to screen out the cable resistance tilt interval based on the cable resistance offset.

[0084] The second calculation unit 24 is used to calculate the stress edge fluctuation difference and resistance edge fluctuation difference of the cable resistance tilt interval, and to calculate the stress balance amount through the stress edge fluctuation difference and resistance edge fluctuation difference of the cable resistance tilt interval.

[0085] The identification unit 25 is used to determine whether the current cable shows signs of breakage by measuring the stress balance and to process the information automatically.

[0086] The automatic processing system for flywheel energy storage cables described above can run on computing devices such as desktop computers, laptops, handheld computers, and cloud servers. The automatic processing system for flywheel energy storage cables can include, but is not limited to, processors and memory. Those skilled in the art will understand that the above example is merely an illustration of an automatic processing system 20 for flywheel energy storage cables and does not constitute a limitation on the automatic processing system 20. It may include more or fewer components, or combine certain components, or different components. For example, the automatic processing system for flywheel energy storage cables may also include input / output devices, network access devices, buses, etc.

[0087] An automatic processing system 20 for flywheel energy storage cables executes an automatic processing method for flywheel energy storage cables. This method can improve the ability to identify the local health status of cross-linked polyethylene insulated power cables in the flywheel cable system by collecting data at multiple time points and intervals within the historical feedback cycle and modeling multi-parameter features.

[0088] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0089] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0090] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0091] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0092] Furthermore, the terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance, or implicitly specifying the number of technical features indicated in this embodiment. Therefore, features defined with terms such as "first" and "second" in the embodiments of this invention can explicitly or implicitly indicate that the embodiment includes at least one of those features. In the description of this invention, the word "multiple" means at least two or more, such as two, three, four, etc., unless otherwise explicitly specified in the embodiments.

[0093] In this invention, unless otherwise explicitly specified or limited in the embodiments, the terms "installation," "connection," "joining," and "fixing" appearing in the embodiments should be interpreted broadly. For example, a connection can be a fixed connection, a detachable connection, or an integral part; it can also be a mechanical connection, an electrical connection, etc. Of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components, or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific implementation.

[0094] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "beneath" of the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0095] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for automatic handling of cables for flywheel energy storage, characterized in that, The method comprises the following steps: S100, acquiring the cable stress size and the cable resistance size; wherein, step S100 comprises: dividing the cable into [10, 200] distance intervals on average, wherein the length of the distance interval is denoted as L, T is taken as a feedback period, T is in the range of [12, 48] hours, and in the feedback period, the average stress value and the resistance value of the cable in each distance interval L in each of the T hours to 1 hour from the current time back to T hours are acquired; TLE(i, j) is denoted as the average stress value of the cable at the jth distance interval before the ith hour, RET(i, j) is denoted as the cable resistance value at the jth distance interval before the ith hour, i is the time interval number, j is the distance interval number, i is in the range of i = 1, 2, …, T, j is in the range of j = 1, 2, …, k, wherein k is the interval number of the cable, the maximum value of each stress value in all TLE(i, j) is denoted as ISM, and the minimum value of each stress value is denoted as ISS; the average value of each stress value in all TLE(i, j) is denoted as ISP; the median of each resistance value in all RET(i, j) is denoted as the global resistance median LIM; S200, calculating the cable stress-resistance offset by the cable stress size and the cable resistance size; wherein step S200 comprises: the stress-resistance ratio of the cable at the jth distance interval i hours ago is denoted as RE(i, j), wherein RE(i, j) = TLE(i, j) / RET(i, j); the constant static stress-resistance ratio is calculated, wherein the calculation method of the constant static stress-resistance ratio is: REF = ISP / LIM; the offset absolute value D(i, j) of each time and each position in the feedback period is calculated, wherein D(i, j) = |RE(i, j) - REF|; an empty sequence is created and denoted as the offset absolute value sequence, the offset absolute value D(i, j) is imported into the offset absolute value sequence, the upper quartile TYf of the offset absolute value sequence is acquired, the offset absolute values greater than TYf in the offset absolute value sequence are extracted, and the average value of all the offset absolute values greater than TYf in the offset absolute value sequence is denoted as the stress-resistance offset TIUR; S300, screening the cable stress-resistance inclined interval according to the cable stress-resistance offset; wherein step S300 comprises: ISY(j) is denoted as the average stress size currently received by the jth distance interval of the cable, LIY(j) is denoted as the resistance size currently received by the jth distance interval of the cable, the stress-resistance ratio RKL(j) of the jth distance interval of the cable at the current time is acquired, RKL(j) = ISY(j) / LIY(j); the offset absolute value Dt(j) of the jth distance interval of the cable at the current time is Dt(j) = |RKL(j) - REF|; The distance interval with the offset absolute value Dt(j) greater than the stress-resistance offset TIUR is denoted as the cable stress-resistance inclined interval, and the distance sequence number of the cable stress-resistance inclined interval is denoted as f, wherein f ∈ j; S400, calculating stress side aggregation fluctuation difference and resistance side aggregation fluctuation difference of the cable resistance tilt interval, and calculating stress balance through the stress side aggregation fluctuation difference and the resistance side aggregation fluctuation difference of the cable resistance tilt interval; wherein step S400 comprises: calculating the stress side aggregation fluctuation difference and the resistance side aggregation fluctuation difference of the cable resistance tilt interval comprises: taking TLE(i, f) as the average stress value of the cable at the fth distance interval before the ith hour, and RET(i, f) as the resistance value of the cable at the fth distance interval before the ith hour, taking the median of the average stress of the distance interval of the cable with serial number f in the feedback period as YARE(f), and taking the median of the resistance of the distance interval of the cable with serial number f in the feedback period as RK(f), wherein the number of cable resistance tilt intervals is Y; calculating the stress side aggregation fluctuation difference pu(f) and the resistance side aggregation fluctuation difference ru(f) of the cable resistance tilt interval through YARE(f) and RK(f); wherein the stress balance comprises two parts, wherein the first part is a coefficient correction to ISM with the maximum stress value ISM in the historical feedback period of the cable as the reference value, wherein the coefficient comprises a correction factor and an amplification factor, wherein the numerator of the correction factor is: the sum of the resistance side aggregation fluctuation difference ru(f) of each cable resistance tilt interval in the feedback period and Y times the global resistance median LIM; the denominator of the correction factor is: the sum of the resistance median RK(f) of each cable resistance tilt interval in the feedback period; multiplying the first part result obtained by adding the amplification factor with 1 to ISM; the second part is stress fluctuation compensation, and the sum of all pu(f) is divided by the number Y of cable resistance tilt intervals to obtain the average compensation value of the interval stress fluctuation; S500, judging whether the current cable has a fracture sign through the stress balance, and performing automatic processing.

2. The automatic processing method of a flywheel energy storage cable according to claim 1, characterized in that, Step S500 comprises: for each cable resistance tilt interval identified, obtaining the average stress value ISY(f) of the cable resistance tilt interval at the current time, and calculating ISY(f)+pu(f) in combination with the corresponding serial number stress side aggregation fluctuation difference pu(f), if the condition ISY(f)+pu(f) is greater than TRT, it is determined that the stress condition of the interval under the current operating state has exceeded the historical safe reference boundary, indicating that there is a structural abnormality or stress imbalance risk, and recording the distance interval serial number as h, wherein h∈f.

3. The automatic processing method of a flywheel energy storage cable according to claim 2, characterized in that, Step S500 further comprises: obtaining the maximum resistance RAM of the cable distance interval serial number h in the feedback period and the current resistance value LIY(h) of the cable distance serial number h, if LIY(h) is greater than RAM+ru(h), it indicates that the cable of the distance serial number is significantly higher than its historical fluctuation upper limit, and there is a local strand breakage of the internal copper / aluminum conductor.

4. An automatic processing system of cables for flywheel energy storage, characterized by, The automatic processing system of the flywheel energy storage cable comprises a processor, a memory, and a computer program stored in the memory and running on the processor, and the processor implements the steps in the automatic processing method of the flywheel energy storage cable according to any one of claims 1-3 when running the computer program, and the automatic processing system of the flywheel energy storage cable runs in a computing device of a desktop computer, a notebook computer, a palm computer, or a cloud data center.

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