Ice melting current adjusting method and device of current collection line and storage medium

Abstract

The invention relates to the technical field of power transmission, in particular to an ice melting current adjusting method and device for a current collection circuit and a storage medium, and the method comprises the steps: respectively obtaining temperature data, humidity data and wind speed data of a plurality of collection moments on the current collection circuit; respectively constructing three information sequences according to the three data; according to the temperature information sequence, determining an icing suitable air temperature characteristic index at each acquisition moment; determining an icing gain degree index at each acquisition moment according to the humidity information sequence and the wind speed information sequence; according to the icing suitable temperature characteristic index and the icing gain degree index at each acquisition moment, determining an ice melting effect characteristic index at each acquisition moment; according to the temperature difference between the temperature of each acquisition moment and the temperature of the adjacent acquisition moment in the temperature information sequence, determining the ice melting impedance effect intensity of each acquisition moment; and determining an adjustment value of the ice melting current according to the ice melting impedance action intensity and the ice melting effect characteristic index at each acquisition moment. Therefore, the ice melting current can be adjusted more accurately.

Description

Technical Field

[0001] The present application relates to the technical field of power transmission, and particularly to a method, device, and storage medium for regulating the ice melting current of a collector line. Background Art

[0002] With the increasing national attention to clean energy, the construction scale of wind farms has been continuously expanding. However, in the development process of wind farms, some problems have gradually emerged. Among them, ice disasters are regarded as one of the most significant factors affecting wind farms. When an ice disaster occurs, the high-voltage transmission lines in a wind farm are extremely prone to icing, which poses a major threat to the normal operation of the wind farm and may even cause various electrical faults. Therefore, it is particularly important to perform ice melting treatment on the icing of high-voltage transmission lines. Currently, ice melting technology has been widely applied to high-voltage transmission lines to ensure the smooth power transmission, meet the electricity consumption needs of the majority of users, and improve the operation efficiency and safety of the entire power grid system.

[0003] Nevertheless, the traditional ice melting technology still has the problem of insufficient ice melting rate. For example, when using the electrothermal ice melting technology to perform ice melting treatment on high-voltage transmission lines, if the electrothermal ice melting current is small, the ice melting rate is slow; conversely, if the electrothermal ice melting current is too large, the risk of high-voltage transmission lines will increase. This is because it is difficult to accurately control the electrothermal ice melting current, resulting in a low ice melting rate and being unable to effectively shorten the icing time of high-voltage transmission lines. Summary of the Invention

[0004] The purpose of the embodiments of the present application is to provide a method, device, and storage medium for regulating the ice melting current of a collector line to solve the technical problem of difficult accurate control of the ice melting current in the prior art.

[0005] To achieve the above purpose, the first aspect of the present application provides a method for regulating the ice melting current of a collector line. The ice melting current regulation method includes the following steps: Obtain temperature data, humidity data, and wind speed data at multiple acquisition times on the collector line respectively; Construct a temperature information sequence, a humidity information sequence, and a wind speed information sequence according to the temperature data, humidity data, and wind speed data respectively; Determine the suitable ice melting air temperature characteristic index at each acquisition time according to the temperature information sequence; Determine the ice melting gain degree index at each acquisition time according to the humidity information sequence and the wind speed information sequence; Determine the ice melting effect characteristic index at each acquisition time according to the suitable ice melting air temperature characteristic index and the ice melting gain degree index at each acquisition time; Determine the intensity of the ice melting impedance effect at each acquisition moment according to the temperature difference between the temperature at each acquisition moment in the temperature information sequence and the temperature at the adjacent acquisition moment; Determine the adjustment value of the ice melting current according to the intensity of the ice melting impedance effect at each acquisition moment and the ice melting effect characteristic index.

[0006] In the embodiment of the present application, the steps of determining the ice-covered suitable air temperature characteristic index at each acquisition moment according to the temperature information sequence include: constructing a time window of a preset size centered on the temperature at each acquisition moment in the temperature information sequence; forming the ice-covered characteristic sequences within each time window by arranging the temperatures at all acquisition moments within each time window in chronological order; inputting each ice-covered characteristic sequence into a detrended fluctuation analysis model to obtain a detrended ice-covered characteristic sequence; determining the difference between the same acquisition moments in each detrended ice-covered characteristic sequence; arranging the differences in chronological order to form an ice-covered characteristic trend component sequence; determining the temperature trend difference at each acquisition moment as the difference between each data in the ice-covered characteristic trend component sequence and the data on the adjacent side; obtaining the first product of the data in the ice-covered characteristic sequence and the temperature trend difference at the same acquisition moment, and determining the mean value of the first products at multiple acquisition moments as the temperature trend mean value; determining the temperature mean square deviation of all data in the ice-covered characteristic sequence at each acquisition moment; determining the ice-covered suitable air temperature characteristic index according to the temperature mean square deviation and the temperature trend mean value.

[0007] In the embodiment of the present application, the steps of determining the ice-covered gain degree index at each acquisition moment according to the humidity information sequence and the wind speed information sequence include: determining the humidity trend difference and the wind speed trend difference at each acquisition moment according to the humidity information sequence and the wind speed information sequence respectively; obtaining the second product of the wind speed trend difference and the wind speed trend difference at the same acquisition moment, and determining the mean value of the second products at multiple acquisition moments as the mixed mean value; determining the mean value of the ice-covered characteristic sequence at each acquisition moment in the humidity information sequence as the single humidity mean value; determining the mean value of the ice-covered characteristic sequence at each acquisition moment in the wind speed information sequence as the single wind speed mean value; determining the ice-covered gain degree index at each acquisition moment according to the mixed mean value, the single humidity mean value and the single wind speed mean value.

[0008] In the embodiment of the present application, the steps of determining the ice melting effect characteristic index at each acquisition moment according to the ice-covered suitable air temperature characteristic index and the ice-covered gain degree index at each acquisition moment include: determining the ice-covered characteristic clarity index at each acquisition moment according to the ice-covered suitable air temperature characteristic index and the ice-covered gain degree index at each acquisition moment; determining the ice melting effect characteristic index at each acquisition moment according to the ice-covered characteristic clarity index at each acquisition moment and the ice-covered characteristic clarity index at the adjacent acquisition moment.

[0009] In the embodiment of the present application, the steps of determining the ice melting effect characteristic index for each acquisition moment according to the ice coverage characteristic clarity index at each acquisition moment and the ice coverage characteristic clarity index at the adjacent acquisition moment include: determining the ice coverage clarity characteristic subsequence for each acquisition moment according to the ice coverage characteristic clarity index at each acquisition moment and the ice coverage characteristic clarity index at the adjacent acquisition moment; determining the coefficient of variation of all the data within each ice coverage clarity characteristic subsequence; determining the difference between each data within the ice coverage clarity characteristic subsequence at each acquisition moment and the previous adjacent data as the ice coverage clarity difference; determining the ice coverage characteristic index function according to the ice coverage clarity difference; and determining the ice melting effect characteristic index according to the ice coverage characteristic index function and the coefficient of variation.

[0010] In the embodiment of the present application, the steps of determining the ice melting impedance action intensity for each acquisition moment according to the temperature at each acquisition moment and the temperature difference between adjacent acquisition moments in the temperature information sequence include: taking the first-order difference sequence of the ice coverage characteristic sequence at each acquisition moment in the temperature information sequence as the ice melting impedance characteristic sequence at each acquisition moment; determining the information entropy and the average value of all the data within the ice melting impedance characteristic sequence at each acquisition moment; determining the average value as the ice melting impedance average value; determining the absolute value of the difference between each data in the ice melting impedance characteristic sequence and the ice melting impedance average value; and determining the ice melting impedance action intensity for each acquisition moment according to the information entropy and the absolute value of the difference.

[0011] In the embodiment of the present application, the steps of determining the ice melting current adjustment value according to the ice melting impedance action intensity and the ice melting effect characteristic index include: determining the ice melting suitability characteristic index for each acquisition moment according to the ice melting impedance action intensity and the ice melting effect characteristic index at each acquisition moment; determining the normalized difference of the ice melting suitability characteristic index at the current moment; determining the product value of the normalized difference and the preset current adjustment interval value; and determining the current adjustment value according to the product value and the ice melting current value at the current moment.

[0012] In the embodiment of the present application, the steps of respectively constructing a temperature information sequence, a humidity information sequence, and a wind speed information sequence according to temperature data, humidity data, and wind speed data include: respectively forming a temperature sequence, a humidity sequence, and a wind speed sequence from the temperature data, the humidity data, and the wind speed data in chronological order; and respectively importing the temperature sequence, the humidity sequence, and the wind speed sequence into a filtering algorithm to output the temperature information sequence, the humidity information sequence, and the wind speed information sequence.

[0013] The second aspect of the present application provides an ice melting current adjustment device for a collector line, including: a memory configured to store instructions; and a processor configured to call instructions from the memory and capable of implementing the above-mentioned ice melting current adjustment method for the collector line when executing the instructions.

[0014] In a third aspect of the present application, a machine-readable storage medium is provided. Instructions are stored on the machine-readable storage medium, and these instructions are used to cause a machine to execute the above-mentioned method for adjusting the ice melting current of the current collection line.

[0015] Through the above technical solution, the method for adjusting the ice melting current involves the following steps: First, collect temperature data, humidity data, and wind speed data at multiple moments on the current collection line; then, use these data to construct a temperature information sequence, a humidity information sequence, and a wind speed information sequence; next, determine the suitable air temperature characteristic index for each acquisition moment based on the temperature information sequence; determine the ice accretion gain degree index for each acquisition moment based on the humidity information sequence and the wind speed information sequence; further, combine the suitable air temperature characteristic index and the ice accretion gain degree index to determine the ice melting effect characteristic index for each acquisition moment; in addition, determine the intensity of the ice melting impedance effect through the temperature difference between the temperature at each acquisition moment in the temperature information sequence and the adjacent acquisition moment; finally, combine the intensity of the ice melting impedance effect and the ice melting effect characteristic index to determine the adjustment value of the ice melting current. By using the above method for adjusting the ice melting current, it is possible to determine the adjustment of the ice melting current based on three environmental parameters: temperature, humidity, and wind speed, analyze the gain effect of humidity and wind speed on ice accretion, and construct a clear ice accretion characteristic index, improving the accuracy of the analysis of the ice accretion characteristic degree. Based on the ice accretion characteristic degree and the change of temperature, combined with the impedance effect of environmental factors on the temperature rise of the current collection line, a suitable ice melting characteristic index is constructed to reflect the suitability of the electrothermal ice melting current when performing ice melting treatment at different moments, thereby determining the adjustment value of the current. This adjustment value is obtained based on a comprehensive analysis of the ice melting process, and it will guide us on how to adjust the current to achieve the best ice melting effect. Through this series of steps, it is possible to ensure that the ice melting process is both efficient and safe, thus guaranteeing the stable operation of the power system.

[0016] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings are used to provide a further understanding of the embodiments of the present application, and constitute a part of the specification. They are used together with the following specific implementation to explain the embodiments of the present application, but do not constitute a limitation to the embodiments of the present application. In the drawings: Figure 1 Schematically shows a flowchart of the method for adjusting the ice melting current of the current collection line according to an embodiment of the present application; Figure 2 Schematically shows the internal structure diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. It should be understood that the specific implementation manners described herein are only used to illustrate and explain the embodiments of this application, and are not used to limit the embodiments of this application. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by this application.

[0019] It should be noted that the acquisition, transmission, storage, use, processing, etc. of data in the technical solutions of this application all comply with the relevant provisions of national laws and regulations. In the embodiments of this application, certain industry-existing solutions such as software, components, models, etc. may be mentioned, and they should be regarded as exemplary. The purpose is only to illustrate the feasibility in the implementation of the technical solutions of this application, but it does not mean that the applicant has already or necessarily used this solution.

[0020] It should be noted that if there are directional indications (such as up, down, left, right, front, back...) involved in the embodiments of this application, then such directional indications are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the accompanying drawings). If this specific posture changes, then the directional indications will also change accordingly.

[0021] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of this application, then such descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0022] Figure 1 A flowchart of the ice melting current adjustment method for a collector line according to an embodiment of this application is schematically shown. As Figure 1 shown, the embodiments of this application provide an ice melting current adjustment method for a collector line, and this ice melting current adjustment method may include the following steps.

[0023] S101. Obtain temperature data, humidity data, and wind speed data at multiple acquisition moments on the collector line respectively.

[0024] S102. Construct a temperature information sequence, a humidity information sequence, and a wind speed information sequence according to the temperature data, humidity data, and wind speed data respectively.

[0025] S103. Determine the icing-suitable air temperature characteristic index for each acquisition moment according to the temperature information sequence.

[0026] S104. Determine the icing gain degree index for each acquisition moment according to the humidity information sequence and the wind speed information sequence.

[0027] S105. Determine the ice melting effect characteristic index for each acquisition moment according to the icing-suitable air temperature characteristic index and the icing gain degree index for each acquisition moment.

[0028] S106. Determine the ice melting impedance action intensity for each acquisition moment according to the temperature difference between the temperature at each acquisition moment in the temperature information sequence and the temperature at the adjacent acquisition moment.

[0029] S107. Determine the adjustment value of the ice melting current according to the ice melting impedance action intensity and the ice melting effect characteristic index for each acquisition moment.

[0030] The collector line mainly refers to the line that transmits electric energy from distributed energy generation facilities such as wind energy and solar energy to the step-up substation or switch station. Wind farms are mostly located in high-altitude micro-topography areas. In winter, equipment such as wind turbines, outgoing lines, and overhead collector lines are extremely prone to severe icing, which ultimately leads to large-scale power grid disconnection. The voltage level of the overhead collector line in the wind farm is low and the cross-sectional area of the wire is small. During the ice melting process of the collector line, it is necessary to accurately control the current on the collector line, preventing both too low current from causing low ice melting efficiency and too high current from causing too high temperature of the collector line and reducing its lifespan. In the embodiment of the present application, a method for adjusting the ice melting current of the collector line is provided. First, temperature data, humidity data, and wind speed data at multiple acquisition moments on the collector line are respectively obtained. These data can comprehensively reflect the environmental conditions where the collector line is located. Then, corresponding temperature information sequence, humidity information sequence, and wind speed information sequence are constructed based on these data for subsequent analysis and processing. Determining the icing-suitable air temperature characteristic index according to the temperature information sequence can understand the possibility of icing under different air temperature conditions, while the icing gain degree index further considers the influence of humidity and wind speed on icing. The combination of these two indexes can more accurately evaluate the ice melting effect. At the same time, by calculating the temperature difference at each acquisition moment to determine the ice melting impedance action intensity, it can reflect the direct influence of environmental condition changes on the ice melting process. Finally, the adjustment value of the ice melting current is determined by comprehensively considering the ice melting impedance action intensity and the ice melting effect characteristic index, which not only ensures the ice melting efficiency but also avoids the damage caused by too high current to the collector line. The application of this method will help improve the accuracy and safety of ice melting of the collector line.

[0031] In a specific embodiment, a multi-functional sensor is used to collect the temperature, humidity, and wind speed on the collector line during the electro-thermal ice melting process. The multi-functional sensor is an integrated multi-functional sensor of a temperature sensor, a humidity sensor, and a wind speed sensor.

[0032] In a specific embodiment, when collecting the temperature, humidity, and wind speed, the collection time interval in this embodiment is 0.2 s, and the collection time length is 10 min. As other implementation manners, the implementer can determine the values of the collection time interval and the collection time length according to the actual situation.

[0033] In an embodiment, the steps of determining the icing-suitable air temperature characteristic index at each collection moment according to the temperature information sequence include: constructing a time window of a preset size centered on the temperature at each collection moment in the temperature information sequence; forming the icing characteristic sequences within each time window by arranging the temperatures at all collection moments within each time window in chronological order; inputting each icing characteristic sequence into a detrended fluctuation analysis model to obtain a detrended sequence of the icing characteristics; determining the differences between the same collection moments in each detrended sequence of the icing characteristics; arranging the differences in chronological order to form a trend component sequence of the icing characteristics; determining the temperature trend difference at each collection moment as the difference between each data in the trend component sequence of the icing characteristics and the data on the adjacent side; obtaining the first product of the data in the icing characteristic sequence and the temperature trend difference at the same collection moment, and determining the mean value of the first products at multiple collection moments as the temperature trend mean; determining the temperature mean square deviation of all data in the icing characteristic sequence at each collection moment; and determining the icing-suitable air temperature characteristic index according to the temperature mean square deviation and the temperature trend mean.

[0034] Generally, the severity of icing on the collector line is largely affected by environmental factors. The greater the severity of icing, the higher the clarity of the icing characteristics. At the same time, when the temperature is lower, the humidity is higher, and the wind speed is greater, the collector line is more likely to be iced, and the impedance effect generated during the ice melting process of the collector line is stronger. In order to improve the efficiency of the ice melting process for the collector line, it is necessary to analyze the clarity of the icing characteristics on the collector line. The higher the clarity of the icing characteristics, the more likely icing occurs on the collector line, and the higher the severity of icing. At the same time, the impedance effect generated during the ice melting process of the collector line is stronger, that is, it is more difficult to perform the ice melting process on the collector line.

[0035] Specifically, for the three information sequences, a window of a set size is set as the sliding window at each collection moment centered on the data at each collection moment in the three information sequences, and the data at all collection moments within the sliding window at each collection moment are arranged in chronological order to form the icing characteristic sequence at each collection moment.

[0036] It should be understood that the 1×51-sized window selected is only an embodiment of the present application. Based on the realization of constructing a sliding window of a preset size centered on the data at each acquisition moment, the implementer can select a window of a preset size according to the actual situation.

[0037] To more accurately analyze the trend changes of the ice-covering feature sequence, the ice-covering feature sequence at each acquisition moment is used as the input of the Detrended Fluctuation Analysis (DFA), and the output of the DFA method is used as the detrended sequence of the ice-covering feature. Calculate the data difference between the same acquisition moment in each ice-covering feature sequence and the corresponding detrended sequence of the ice-covering feature. The data differences of all ice-covering feature sequences are arranged in chronological order to form the ice-covering feature trend component sequence corresponding to the acquisition moment in the temperature information sequence. Among them, the DFA method is a well-known technology, and the specific process will not be elaborated here.

[0038] In a specific embodiment, the ice-covering suitable temperature characteristic index of the collector line is calculated according to the following formula (1): (1) In the formula, represents the ice-covering suitable temperature characteristic index at the i-th acquisition moment. s and q respectively represent the number of data in the ice-covering feature sequence and the number of data in the ice-covering feature trend component sequence of the data at the i-th acquisition moment in the temperature information sequence. exp is the exponential function with the natural constant as the base. represents the j-th data value in the ice-covering feature sequence of the data at the i-th acquisition moment in the temperature information sequence. and respectively represent the d-th and (d - 1)-th data values in the ice-covering feature trend component sequence of the data at the i-th acquisition moment in the temperature information sequence. represents the temperature mean square deviation of all data in the ice-covering feature sequence of the data at the i-th acquisition moment in the temperature information sequence. e is the adjustment factor, and the empirical value of the adjustment factor is 1.

[0039] In one embodiment, the steps of determining the icing gain degree index at each acquisition moment according to the humidity information sequence and the wind speed information sequence include: determining the humidity trend difference and the wind speed trend difference at each acquisition moment according to the humidity information sequence and the wind speed information sequence respectively; obtaining the second product of the wind speed trend difference and the wind speed trend difference at the same acquisition moment, and determining the mean value of the second products at multiple acquisition moments as the mixed mean value; determining the mean value of the icing feature sequences at each acquisition moment in the humidity information sequence as the single humidity mean value; determining the mean value of the icing feature sequences at each acquisition moment in the wind speed information sequence as the single wind speed mean value; and determining the icing gain degree index at each acquisition moment according to the mixed mean value, the single humidity mean value and the single wind speed mean value. Among them, the icing gain degree index at each acquisition moment is positively correlated with the mixed mean value, the single humidity mean value and the single wind speed mean value at each acquisition moment respectively. The positive correlation relationship means that the change trend directions of the dependent variable and the independent variable are the same, such as multiplication relationship, addition relationship, power of exponential function, etc. The implementer can set it according to the actual situation. It should be noted that the method of determining the humidity trend difference and the wind speed trend difference at each acquisition moment is the same as the method of determining the temperature trend difference above, which is a commonly used calculation method in the prior art and will not be elaborated here.

[0040] In a specific embodiment, the icing gain degree index is calculated according to the following calculation formula (2):

[0041] represents the icing gain degree index at the i-th acquisition moment, z represents the number of data in the icing feature trend component sequence of the data at the i-th acquisition moment in the humidity information sequence, w represents the number of data in the icing feature trend component sequence of the data at the i-th acquisition moment in the wind speed information sequence, and respectively represent the r-th and (r - 1)-th data values in the icing feature trend component sequence of the data at the i-th acquisition moment in the wind speed information sequence, respectively represent the h-th and (h - 1)-th data values in the icing feature trend component sequence of the data at the i-th acquisition moment in the humidity information sequence, and respectively represent the mean values of all data in the icing feature sequences of the data at the i-th acquisition moment in the humidity information sequence and the wind speed information sequence; e is an adjustment factor, and the empirical value of the adjustment factor is 1.

[0042] In one embodiment, the steps of determining the ice melting effect characteristic index for each acquisition moment according to the ice accretion suitable temperature characteristic index and the ice accretion gain degree index at each acquisition moment include: determining the ice accretion characteristic clarity index for each acquisition moment according to the ice accretion suitable temperature characteristic index and the ice accretion gain degree index at each acquisition moment; determining the ice melting effect characteristic index for each acquisition moment according to the ice accretion characteristic clarity index at each acquisition moment and the ice accretion characteristic clarity index at the adjacent acquisition moment. Specifically, the ice accretion characteristic clarity index can be obtained by weighted summing the ice accretion suitable temperature characteristic index and the ice accretion gain degree index, and the selection of the weight can be adjusted according to the actual application scenario and requirements.

[0043] After determining the ice accretion characteristic clarity index for each acquisition moment, further compare the ice accretion characteristic clarity index at the current acquisition moment with the ice accretion characteristic clarity index at the previous acquisition moment. If the ice accretion characteristic clarity index at the current acquisition moment is higher than that at the previous acquisition moment, it indicates that the ice melting effect is improving. At this time, the ice melting effect characteristic index can be set as a positive value or an increasing value; conversely, if the ice accretion characteristic clarity index at the current acquisition moment is lower than that at the previous acquisition moment, it indicates that the ice melting effect may be adversely affected. At this time, the ice melting effect characteristic index can be set as a negative value or a decreasing value. In this way, the effect of the ice melting process can be evaluated in real time and accurately, providing a strong basis for subsequent current regulation.

[0044] In a specific embodiment, the ice accretion characteristic clarity index is determined according to the following formula (3): (3) where, represents the ice accretion characteristic clarity index at the i-th acquisition moment, exp is the exponential function with the natural constant as the base, represents the ice accretion gain degree index at the i-th acquisition moment, represents the ice accretion suitable temperature characteristic index at the i-th acquisition moment.

[0045] It should be noted that: the greater the average value of all data in the ice accretion characteristic sequence at each acquisition moment in the humidity information sequence and the wind speed information sequence, to a certain extent, reflects that the humidity of the line is relatively high at this time, and the wind speed of the line is relatively high. In the case of relatively low temperature, the greater the gain to the ice accretion characteristic of the line, the deeper the degree of ice accretion characteristic of the collector line at this time. At the same time, in the ice accretion characteristic trend component sequence at each acquisition moment in the wind speed information sequence, the greater the difference between each data and the adjacent previous data, and in the ice accretion characteristic trend component sequence at each acquisition moment in the humidity information sequence, the greater the difference between each data and the adjacent previous data, to a certain extent, indicates that the humidity and wind speed on the line show an upward trend at this time, which is more conducive to the appearance of ice accretion characteristics on the collector line, and the deeper the degree of ice accretion characteristic on the collector line at this time, then the greater the ice accretion gain degree index.

[0046] In one embodiment, the steps of determining the ice melting effect characteristic index for each acquisition moment based on the icing characteristic clarity index at each acquisition moment and the icing characteristic clarity index at an adjacent acquisition moment include: determining the icing clarity characteristic subsequence for each acquisition moment based on the icing characteristic clarity index at each acquisition moment and the icing characteristic clarity index at an adjacent acquisition moment; determining the coefficient of variation (also known as the coefficient of dispersion) of all data within each icing clarity characteristic subsequence; determining the icing clarity difference as the difference between each data within the icing clarity characteristic subsequence at each acquisition moment and the previous adjacent data; determining the icing characteristic index function based on the icing clarity difference; and determining the ice melting effect characteristic index based on the icing characteristic index function and the coefficient of variation.

[0047] Specifically, the larger the absolute value of the icing clarity difference, the more significant the change in the clarity of the icing characteristics between adjacent acquisition moments, which is usually associated with the rapid changes during the ice melting process. The icing characteristic index function is a mathematical model constructed based on these icing clarity differences to quantify the change rate and trend of the icing characteristics. This function may consider multiple factors, such as the absolute value of the difference and the cumulative effect of the differences, to comprehensively evaluate the ice melting effect. Finally, by combining the icing characteristic index function with the coefficient of variation, the ice melting effect characteristic index can be calculated. The coefficient of variation reflects the degree of dispersion of the data within the icing clarity characteristic subsequence, that is, the stability or volatility of the icing characteristics at different acquisition moments. The ice melting effect characteristic index comprehensively considers the change rate, trend, and discreteness of the icing characteristics, thereby more comprehensively evaluating the ice melting effect.

[0048] In one embodiment, the steps of determining the ice melting effect characteristic index for each acquisition moment based on the icing characteristic clarity index at each acquisition moment and the icing characteristic clarity index at an adjacent acquisition moment include: determining the icing clarity characteristic subsequence for each acquisition moment based on the icing characteristic clarity index at each acquisition moment and the icing characteristic clarity index at an adjacent acquisition moment; determining the coefficient of variation of all data within each icing clarity characteristic subsequence; determining the icing clarity difference as the difference between each data within the icing clarity characteristic subsequence at each acquisition moment and the previous adjacent data; determining the icing characteristic index function based on the icing clarity difference; and determining the ice melting effect characteristic index based on the icing characteristic index function and the coefficient of variation.

[0049] This embodiment provides a more detailed and specific method for calculating the ice melting effect characteristic index. First, according to the ice-covered feature clarity index at each acquisition moment and the ice-covered feature clarity index at the adjacent acquisition moment, the ice-covered clarity feature subsequence at each acquisition moment is determined. This step helps to capture the changes in ice-covered features over time and provides basic data for subsequent analysis. Then, the coefficient of variation of all data within each ice-covered clarity feature subsequence is calculated to evaluate the stability or volatility of ice-covered features at different acquisition moments. The calculation of the coefficient of variation is crucial for understanding the change pattern of ice-covered features. Next, by calculating the difference between each data within the ice-covered clarity feature subsequence at each acquisition moment and the previous adjacent data, the ice-covered clarity difference is determined. Specifically, the opposite of the ice-covered clarity difference is used as the exponent of the exponential function with the natural constant as the base, denoted as the ice-covered feature exponential function. This step reveals the clarity change of ice-covered features between adjacent acquisition moments and provides a basis for quantifying the rapid changes during the ice melting process. Based on these ice-covered clarity differences, an ice-covered feature exponential function is constructed, which can quantify the change rate and trend of ice-covered features and provides a mathematical model for comprehensively evaluating the ice melting effect. Finally, by combining the ice-covered feature exponential function with the coefficient of variation, the ice melting effect characteristic index is calculated. This index comprehensively considers the change rate, trend of ice-covered features, and the discreteness of data, providing a powerful tool for more comprehensively evaluating the ice melting effect. Through this embodiment, the ice melting process of the collector line can be monitored and analyzed more accurately, providing a strong guarantee for the safe and stable operation of the power system.

[0050] In one embodiment, the steps of determining the ice melting impedance action intensity at each acquisition moment according to the temperature at each acquisition moment in the temperature information sequence and the temperature difference at the adjacent acquisition moment include: taking the first-order difference sequence of the ice-covered feature sequence at each acquisition moment in the temperature information sequence as the ice melting impedance feature sequence at each acquisition moment; determining the information entropy and the average value of all data within the ice melting impedance feature sequence at each acquisition moment; determining the average value as the ice melting impedance average value; determining the absolute value of the difference between each data in the ice melting impedance feature sequence and the ice melting impedance average value; and determining the ice melting impedance action intensity at each acquisition moment according to the information entropy and the absolute value of the difference. The information entropy reflects the degree of chaos of the data in the ice melting impedance feature sequence, while the absolute value of the difference reflects the degree of discreteness between each data and the ice melting impedance average value. By comprehensively considering the information entropy and the absolute value of the difference, the complexity and change degree of the ice melting impedance feature sequence can be more comprehensively evaluated, so as to more accurately determine the ice melting impedance action intensity at each acquisition moment. This step provides an important basis for deeply understanding the impedance change during the ice melting process, helps to optimize the ice melting current regulation strategy, and improves the ice melting efficiency and safety. Among them, the calculation of the information entropy is a well-known technology, and the specific process will not be elaborated.

[0051] In a specific embodiment, the intensity of the ice melting impedance effect described above is determined according to the following formula (4): (4) Wherein, represents the intensity of the ice melting impedance effect at the i-th acquisition moment, represents the information entropy of all data in the ice melting impedance feature sequence at the i-th acquisition moment, N represents the number of data in the ice melting impedance feature sequence at the i-th acquisition moment, represents the mean value of all data in the ice melting impedance feature sequence at the i-th acquisition moment, represents the numerical value of the k-th data in the ice melting impedance feature sequence at the i-th acquisition moment.

[0052] In an embodiment, the steps of determining the ice melting current adjustment value according to the intensity of the ice melting impedance effect and the ice melting effect characteristic index include: determining the ice melting suitability characteristic index at each acquisition moment according to the intensity of the ice melting impedance effect and the ice melting effect characteristic index at each acquisition moment; determining the normalized difference of the ice melting suitability characteristic index at the current moment; determining the product value of the normalized difference and the preset current adjustment interval value; and determining the current adjustment value according to the product value and the ice melting current value at the current moment. It should be noted that: the value of the current adjustment interval is preset artificially, and the implementer can set it according to the actual situation. In this embodiment, the current adjustment interval value is 20. The smaller the ice melting suitability characteristic index at the current moment, the worse the suitability of the electrothermal ice melting current. At this time, the ice melting effect is poor and the impedance effect on ice melting is strong, so the electrothermal ice melting current adjustment value is larger.

[0053] Specifically, first, by comparing the intensity of the ice melting impedance effect and the ice melting effect characteristic index at each acquisition moment, the suitability during the ice melting process is comprehensively evaluated, so as to obtain the ice melting suitability characteristic index at each acquisition moment. This index reflects whether the ice melting process is in the optimal state or close to the optimal state at a specific moment. Then, calculate the normalized difference between the ice melting suitability characteristic index at the current moment and the ice melting suitability characteristic index at the previous moment or a certain reference moment. This difference reflects the change trend and rate of the ice melting state. Subsequently, multiply the normalized difference by the preset current adjustment interval value to obtain the product value. The preset current adjustment interval value is set according to historical data and experience, aiming to reasonably adjust the current value according to the change trend and rate of the ice melting state to achieve the best ice melting effect. Finally, according to the obtained product value and the ice melting current value at the current moment, determine the current adjustment value through a certain algorithm or rule. This adjustment value will be used as the set value of the ice melting current at the next moment to achieve precise control of the ice melting process, improve the rate of ice melting treatment of the collector line, and effectively shorten the icing time of the collector line.

[0054] In a specific embodiment, the ice melting current adjustment value is determined according to the following formula (5): (5) Wherein, represents the ice melting current adjustment value at the current moment, I represents the ice melting current at the current moment, is the current adjustment interval value, and the current adjustment interval value takes the empirical value of 20, is the normalization function, and L represents the ice melting suitability characteristic index at the current moment.

[0055] In one embodiment, the steps of constructing a temperature information sequence, a humidity information sequence, and a wind speed information sequence based on temperature data, humidity data, and wind speed data respectively include: forming a temperature sequence, a humidity sequence, and a wind speed sequence from the temperature data, humidity data, and wind speed data respectively in chronological order; importing the temperature sequence, humidity sequence, and wind speed sequence into a filtering algorithm respectively to output a temperature information sequence, a humidity information sequence, and a wind speed information sequence.

[0056] For the convenience of subsequent analysis of ice melting treatment on the collector line and to improve the accuracy of analysis of ice melting treatment on the collector line, the temperature, humidity, and wind speed at all acquisition moments are respectively formed into a temperature information sequence, a humidity information sequence, and a wind speed information sequence in chronological order. The temperature information sequence, humidity information sequence, and wind speed information sequence are respectively used as the input of the Kalman filtering algorithm, and the output of the Kalman filtering algorithm is respectively used as the temperature information sequence, humidity information sequence, and wind speed information sequence. The Kalman filtering algorithm is a well-known technology, and the specific process will not be elaborated here.

[0057] In one embodiment, the ice melting current adjustment device further includes a data processing unit. The data processing unit is used to receive the temperature information sequence, humidity information sequence, and wind speed information sequence, and analyze the conditions for ice melting treatment on the collector line based on these information sequences. Through a preset algorithm model, the data processing unit can evaluate the influence of the current environment on the ice melting effect, so as to intelligently adjust the magnitude of the ice melting current to ensure that the ice melting process is both efficient and safe. In addition, the data processing unit can also monitor and record the change trends of the temperature information sequence, humidity information sequence, and wind speed information sequence in real time, providing data support and reference for subsequent ice melting treatment, and further improving the accuracy and reliability of ice melting treatment.

[0058] It should be understood that: The Kalman filtering algorithm is only one embodiment of the present application. On the basis of realizing filtering of the data in the sequence, the implementer can use other filtering algorithms in the prior art to filter the data in the sequence, and the present application does not make special restrictions.

[0059] In summary, the above method for adjusting the ice melting current of the collector line not only considers the changes in ice covering characteristics but also incorporates multiple environmental factors such as temperature, humidity, and wind speed, achieving comprehensive monitoring and precise control of the ice melting process. By constructing temperature information sequences, humidity information sequences, and wind speed information sequences and using the Kalman filtering algorithm for filtering processing, the accuracy and reliability of the data are effectively improved. On this basis, by calculating key indicators such as the ice covering feature clarity index, ice melting effect feature index, and ice melting impedance action intensity, the state and effect of the ice melting process can be evaluated in real time. Finally, according to these evaluation results, the size of the ice melting current is intelligently adjusted to ensure that the ice melting process can proceed quickly and efficiently while maximizing the safety and stable operation of the power system. The application of this method for adjusting the ice melting current improves the rate of electrothermal ice melting treatment, effectively shortens the time of ice covering on the collector line, and will greatly enhance the efficiency and safety of ice melting treatment for the collector line, providing a strong guarantee for the long-term stable operation of the power system.

[0060] In one embodiment, there is provided an apparatus for adjusting the ice melting current of a collector line, including: a memory configured to store instructions; and a processor configured to call instructions from the memory and capable of implementing the above method for adjusting the ice melting current of the collector line when executing the instructions.

[0061] In one embodiment, there is provided a machine-readable storage medium having instructions stored thereon for causing a machine to execute the above method for adjusting the ice melting current of the collector line.

[0062] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0063] As Figure 2 shown, the internal structure diagram of a computer device according to an embodiment of the present application is schematically illustrated. The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate for implementing the processFigure 1 means for the functions specified in one process or multiple processes and / or boxes Figure 1 or multiple boxes.

[0064] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device that implements the functions specified in one process Figure 1 or multiple processes and / or boxes Figure 1 or multiple boxes.

[0065] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 or multiple processes and / or boxes Figure 1 or multiple boxes.

[0066] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0067] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0068] Computer-readable media includes permanent and non-permanent, removable and non-removable media and can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD), or other optical storage, magnetic cassette tapes, magnetic disk storage, or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0069] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0070] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for regulating ice melting current of a collector line, characterized in that: The ice melting current regulation method comprises the following steps: Respectively obtain temperature data, humidity data and wind speed data at multiple collection times on the collector circuit; Constructing a temperature information sequence, a humidity information sequence and a wind speed information sequence respectively according to the temperature data, the humidity data and the wind speed data; Determine the suitable temperature characteristic index for ice covering at each of the collection moments according to the temperature information sequence; Determine an ice gain index at each of the collection moments according to the humidity information sequence and the wind speed information sequence; Determine the ice melting effect characteristic index at each collection moment according to the ice covering suitable temperature characteristic index and the ice covering gain degree index at each collection moment; Determine the ice melting impedance intensity at each of the collection moments according to the temperature difference between the temperature at each of the collection moments and the temperature at adjacent collection moments in the temperature information sequence; The adjustment value of the ice-melting current is determined according to the ice-melting impedance action intensity and the ice-melting effect characteristic index at each of the collection moments.

2. The ice melting current regulating method for a collector line according to claim 1, characterized in that: The step of determining the suitable temperature characteristic index for ice covering at each collection moment according to the temperature information sequence comprises: Constructing a time window of a preset size with the temperature at each acquisition moment in the temperature information sequence as the center; The temperatures at all acquisition moments in each of the time windows are combined into an ice cover feature sequence in each time window in chronological order; Inputting each of the ice cover feature sequences into a detrending fluctuation analysis model to obtain an ice cover feature detrended sequence; Determine the difference between the same acquisition time in each of the detrended sequences of ice cover characteristics; Arranging the differences in chronological order to form an ice cover characteristic trend component sequence; Determine the difference between each data in the ice cover characteristic trend component sequence and the data on the adjacent side as the temperature trend difference at each acquisition moment; Obtaining a first product of the data of the ice cover characteristic sequence at the same acquisition time and the temperature trend difference, and determining the average of the first products at multiple acquisition times as the temperature trend average; Determine the mean square error of the temperature of all data in the ice cover feature sequence at each acquisition moment; The suitable temperature characteristic index for icing is determined according to the temperature mean square error and the temperature trend mean.

3. The ice melting current regulating method for a collector line according to claim 2, characterized in that: The step of determining the ice gain index at each collection moment according to the humidity information sequence and the wind speed information sequence comprises: Determine the humidity trend difference and the wind speed trend difference at each of the collection moments according to the humidity information sequence and the wind speed information sequence; Obtaining the second product of the wind speed trend difference and the wind speed trend difference at the same collection time, and determining the average of the second products at multiple collection times as a mixed average; Determine the mean of the ice feature sequence at each of the acquisition moments in the humidity information sequence as a single humidity mean; Determine the mean of the ice cover feature sequence at each of the acquisition moments in the wind speed information sequence as a single wind speed mean; The icing gain degree index at each of the collection moments is determined according to the mixed mean, the single humidity mean and the single wind speed mean.

4. The ice melting current regulating method for a collector line according to claim 1, characterized in that: The step of determining the ice melting effect characteristic index at each collection moment according to the ice covering suitable temperature characteristic index and the ice covering gain degree index at each collection moment comprises: Determine an ice covering characteristic clarity index at each said collection moment according to the ice covering suitable temperature characteristic index and the ice covering gain degree index at each said collection moment; The ice melting effect characteristic index at each collection moment is determined according to the ice covering characteristic clarity index at each collection moment and the ice covering characteristic clarity index at an adjacent collection moment.

5. The ice melting current regulating method for a collector line according to claim 4, characterized in that: The step of determining the ice melting effect characteristic index at each collection moment according to the ice covering characteristic clarity index at each collection moment and the ice covering characteristic clarity index at an adjacent collection moment comprises: Determine an ice cover clear feature subsequence at each acquisition moment according to the ice cover feature clear index at each acquisition moment and the ice cover feature clear index at an adjacent acquisition moment; Determine the discrete coefficient of all data in each of the ice-covering clear feature subsequences; Determine the difference between each data in the ice cover clear feature subsequence at each acquisition moment and the adjacent previous data as the ice cover clear difference; Determining an ice characteristic index function according to the ice clarity difference; The ice melting effect characteristic index is determined according to the ice coating characteristic index function and the discrete coefficient.

6. The ice melting current regulating method for a collector line according to claim 1, characterized in that: The step of determining the ice melting impedance intensity at each collection moment according to the temperature difference between the temperature at each collection moment and the temperature at an adjacent collection moment in the temperature information sequence comprises: Taking the first-order difference sequence of the ice cover characteristic sequence at each of the acquisition moments in the temperature information sequence as the ice melting impedance characteristic sequence at each of the acquisition moments; Determine the information entropy and average value of all data in the ice melting impedance characteristic sequence at each of the acquisition moments; Determine the average value as the ice melting impedance mean value; Determine the absolute value of the difference between each data in the ice-melting impedance characteristic sequence and the ice-melting impedance mean value; The ice melting impedance intensity at each collection moment is determined according to the information entropy and the absolute value of the difference.

7. The ice melting current regulating method for a collector line according to claim 1, characterized in that: The step of determining the ice-melting current adjustment value according to the ice-melting impedance action intensity and the ice-melting effect characteristic index comprises: Determine the ice melting suitability characteristic index at each of the collection moments according to the ice melting impedance action intensity and the ice melting effect characteristic index at each of the collection moments; Determine the normalized difference of the ice melting suitability characteristic index at the current moment; Determining a product value of the normalized difference and a preset current adjustment interval value; The current adjustment value is determined according to the product value and the ice-melting current value at the current moment.

8. The ice melting current regulating method for a collector line according to any one of claims 1 to 7, characterized in that: The step of constructing a temperature information sequence, a humidity information sequence and a wind speed information sequence respectively according to the temperature data, the humidity data and the wind speed data comprises: The temperature data, the humidity data and the wind speed data are respectively formed into a temperature sequence, a humidity sequence and a wind speed sequence in chronological order; The temperature sequence, the humidity sequence and the wind speed sequence are respectively introduced into a filtering algorithm to output the temperature information sequence, the humidity information sequence and the wind speed information sequence.

9. An ice melting current regulating device for a collector line, characterized in that: include: a memory configured to store instructions; as well as A processor is configured to call the instructions from the memory and implement the ice-melting current regulation method for a collector line according to any one of claims 1 to 8 when executing the instructions.

10. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores instructions, which are used to enable a machine to execute the ice-melting current regulation method for a collector line according to any one of claims 1 to 8.

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