Power transmission line monitoring method and system based on wind-solar complementary power supply

Abstract

The invention discloses a power transmission line monitoring method and system based on wind-solar complementary power supply, and the method comprises the steps: setting a plurality of monitoring points according to the parameters of a power transmission line, obtaining the real-time monitoring data of each monitoring point, carrying out the analysis, obtaining a plurality of feature factors, and generating a power supply evaluation value according to the feature factors; abnormal monitoring points are screened out according to the power supply evaluation values, the power supply difference quantity is determined, and a power supply distribution strategy is generated according to the related environment data of the wind-solar complementary power supply system corresponding to the abnormal monitoring points and the power supply difference quantity; setting a monitoring time length based on the predicted application degree of the power supply distribution strategy, obtaining the change characteristics of the characteristic factors in the monitoring time length and the practical application degree of the power supply distribution strategy, and judging whether to generate a correction instruction for the power supply distribution strategy according to the change characteristics of the characteristic factors and the practical application degree, the power supply stability of power transmission line monitoring equipment is improved, and stable operation of a power system is powerfully guaranteed.

Description

Technical Field

[0001] The present application relates to the field of power supply technology, and in particular to a method and system for monitoring a power transmission line based on wind-solar complementary power supply. Background Art

[0002] As a key component of the power system, the operating status of the transmission line directly affects the safety and stability of the entire power system. Therefore, the real-time and accurate monitoring of the transmission line is of great significance for preventing and reducing power accidents and ensuring the stable operation of the power system. However, the unstable power supply of the transmission line monitoring equipment leads to blind spots or slow response in the transmission line monitoring. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides a transmission line monitoring method and system based on wind-solar complementary power supply, by determining the characteristic factors of each monitoring point and generating a power supply evaluation value, screening out abnormal monitoring points and corresponding power supply differences according to the power supply evaluation value, determining the power supply allocation strategy according to the power supply difference and related environmental data, and judging whether to correct the power supply allocation strategy according to the change characteristics of the characteristic factors after the power supply allocation strategy and the actual application degree, thereby improving the power supply stability of the transmission line monitoring equipment and providing strong guarantee for the stable operation of the power system.

[0004] In some embodiments of the present application, a method for monitoring a transmission line based on wind-solar complementary power supply is provided, comprising: Set multiple monitoring points according to the transmission line parameters, obtain and analyze the real-time monitoring data of each monitoring point, obtain multiple characteristic factors, and generate a power supply evaluation value for each monitoring point according to the characteristic factors; According to the power supply evaluation value, the abnormal monitoring points are screened out and the power supply difference corresponding to the abnormal monitoring points is determined. The power supply allocation strategy is generated according to the relevant environmental data of the wind-solar complementary power supply system corresponding to the abnormal monitoring points and the power supply difference; The monitoring period is set based on the predicted application degree of the power supply allocation strategy, the change characteristics of the characteristic factors within the monitoring period and the actual application degree of the power supply allocation strategy are obtained, and it is determined whether to generate correction instructions for the power supply allocation strategy according to the change characteristics of the characteristic factors and the actual application degree.

[0005] In some embodiments of the present application, generating a power supply evaluation value of each monitoring point according to a characteristic factor includes: Pre-set multiple supply evaluation indicators for the wind-solar hybrid power supply system; Obtain the real-time monitoring data of each monitoring point at the current preset monitoring time node, analyze the real-time monitoring data of each monitoring point based on each supply evaluation index, and extract the characteristic factor of each monitoring point corresponding to each supply evaluation index; Compare the characteristic factor of each supply evaluation index corresponding to each monitoring point with the standard characteristic factor of the corresponding supply evaluation index to obtain the characteristic factor deviation between the characteristic factor and the corresponding standard characteristic factor; Generate an initial power supply evaluation value of the monitoring device at the corresponding monitoring point according to the characteristic factor deviation of all supply evaluation indicators of each monitoring point; The compensation coefficient is set according to the fluctuation degree of the historical power supply evaluation value at the historical preset monitoring time node within the current monitoring period; generating a power supply evaluation value of the monitoring device at each monitoring point according to the compensation coefficient and the initial power supply evaluation value; The calculation formula of the power supply evaluation value is: ; Among them, G is the power supply evaluation value, b0 is the compensation coefficient, a1 is the weight coefficient of the first supply evaluation index, is the deviation of the i1th characteristic factor of the first supply evaluation index, a2 is the weight coefficient of the second supply evaluation index, is the deviation of the i1th characteristic factor of the second supply evaluation index, aj is the weight coefficient of the jth supply evaluation index, is the ijth characteristic factor deviation of the jth supply evaluation index, i1=0, 1,…, v1, i2=0, 1,…, v2, ij=0, 1,…, vj, j is the total number of supply evaluation indicators, and the value range of b0 is (0.8, 1.2).

[0006] In some embodiments of the present application, selecting abnormal monitoring points according to the power supply evaluation value and determining the power supply difference amount corresponding to the abnormal monitoring point include: Presetting a power supply evaluation value threshold; When the power supply evaluation value of each monitoring point is less than the power supply evaluation value threshold, the current monitoring point is set as an abnormal monitoring point, and a power supply evaluation value difference is generated according to the power supply evaluation value of the abnormal monitoring point and the power supply evaluation value threshold, and the power supply difference amount of the corresponding abnormal monitoring point is set according to the power supply evaluation value difference; Presetting a first preset power supply evaluation value difference interval, a second preset power supply evaluation value difference interval, a third preset power supply evaluation value difference interval and a fourth preset power supply evaluation value difference interval; When the power supply difference is within the first preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the first preset power supply difference; When the power supply difference is within the second preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the second preset power supply difference; When the power supply difference is within the third preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the third preset power supply difference; When the power supply difference is within the fourth preset power supply evaluation value difference interval, the power supply difference corresponding to the abnormal monitoring point is set to the fourth preset power supply difference.

[0007] In some embodiments of the present application, a power supply allocation strategy is generated according to relevant environmental data of the wind-solar hybrid power supply system corresponding to the abnormal monitoring point and the power supply difference, including: Screen out the wind-solar complementary power supply system corresponding to each abnormal monitoring point, and generate a power supply distribution strategy library corresponding to the wind power complementary power supply system according to the historical power supply distribution log of the screened wind-solar complementary power supply system, wherein the power supply distribution strategy library includes a plurality of preset power supply difference amounts, and each preset power supply difference amount is associated with a plurality of specific preset power supply distribution strategies; Perform similarity analysis on the power supply difference of the abnormal monitoring point of each wind power complementary power supply system and the preset power supply difference in the corresponding power supply allocation strategy library, and set several preset power supply allocation strategies associated with the preset power supply difference with the greatest similarity as multiple first pending power supply allocation strategies; Obtain relevant environmental data of the selected wind-solar hybrid power supply system at the current preset monitoring time node, and predict relevant environmental data of the remaining preset monitoring time nodes of the current monitoring cycle; Generate predicted wind energy supply and predicted solar energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle respectively according to relevant environmental data of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle; Obtain the wind-solar supply ratio of each first pending power supply allocation strategy, determine whether the predicted wind energy supply and predicted solar energy supply at the current preset monitoring time node can achieve the corresponding wind-solar supply ratio, and set the first pending power supply allocation strategy corresponding to the achievable photovoltaic supply ratio as the second pending power supply allocation strategy; Obtain the wind-solar supply ratio of each second pending power supply allocation strategy, and generate the predicted supply duration, predicted supply stability, and predicted supply benefit of the wind-solar supply ratio of each second pending power supply allocation strategy according to the predicted wind energy supply and predicted solar energy supply at the remaining preset monitoring time nodes of the current monitoring cycle; According to the predicted supply duration, predicted supply stability and predicted supply benefit, the first value, the second value and the third value are obtained by performing dimensional unification processing; Generate a predicted application degree of the corresponding second pending power supply allocation strategy according to the first value, the second value and the third value of each second pending power supply allocation strategy; The second pending power supply allocation strategy with the largest predicted application degree is set as the supply allocation strategy corresponding to the wind-solar complementary power supply system.

[0008] In some embodiments of the present application, the relevant environmental data includes first relevant environmental data and second relevant environmental data; Arrange the first relevant environmental data according to the arrangement order of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle, and generate a first relevant environmental data sequence according to the arrangement result; Arrange the second relevant environment data according to the arrangement order of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle, and generate a second relevant environment data sequence according to the arrangement result; Inputting the first relevant environmental data in the first relevant environmental data sequence into the corresponding pre-trained wind energy supply prediction model in order, and obtaining the predicted wind energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle; The second relevant environmental data in the second relevant environmental data sequence are sequentially input into the corresponding pre-trained solar energy supply prediction model to obtain the predicted solar energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle.

[0009] In some embodiments of the present application, the monitoring duration is set based on the predicted application degree of the power distribution strategy, including: Presetting a first preset application interval, a second preset application interval, a third preset application interval and a fourth preset application interval; When the predicted application degree is within the first preset application degree interval, selecting the fourth preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is within the second preset application degree interval, selecting the third preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is within the third preset application degree interval, selecting the second preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is in a fourth preset application degree interval, the first preset monitoring duration is selected as the monitoring duration of the current power supply allocation strategy.

[0010] In some embodiments of the present application, judging whether to generate a correction instruction for the power distribution strategy according to the change characteristics of the characteristic factor and the actual application degree includes: According to the power supply distribution strategy, the corresponding wind-solar complementary power supply system is powered, and the real-time monitoring data of the abnormal monitoring points within the monitoring period are obtained, and the characteristic factors of the corresponding abnormal monitoring points within the monitoring period are extracted; If the characteristic factor deviation between the characteristic factor of the abnormal monitoring point and the corresponding standard characteristic factor within the monitoring time is greater than the preset deviation threshold, it is determined to generate a correction instruction for the power supply distribution strategy; If the characteristic factor deviation between the characteristic factor of the abnormal monitoring point within the monitoring time and the corresponding standard characteristic factor is less than the preset deviation threshold, the characteristic factor of the corresponding abnormal monitoring point within the monitoring time is compared with the characteristic factor before power supply allocation according to the power supply allocation strategy to obtain the change characteristics of the same characteristic factor within the monitoring time, and the change characteristics include the change rate and the change value; Generate a variation coefficient based on the variation characteristics of the same characteristic factor during the monitoring period, and generate a variation evaluation value based on the variation coefficients of all characteristic factors of the abnormal monitoring point; Obtaining the actual supply duration, actual supply stability, and actual supply benefit corresponding to the power supply allocation strategy, and converting them into a fourth value, a fifth value, and a sixth value of the same dimension, respectively; generating a first application degree of the current power supply allocation strategy according to the fourth value, the fifth value and the sixth value; Setting an application compensation coefficient according to the change evaluation value, and generating an actual application degree of the power supply allocation strategy according to the application compensation coefficient and the first application degree; The calculation formula of the actual application degree is: ; Wherein, Y is the actual application degree, y0 is the first application degree, and s is the application compensation coefficient.

[0011] In some embodiments of the present application, judging whether to generate a correction instruction for the power supply distribution strategy according to the change characteristics of the characteristic factor and the actual application degree also includes: If the actual application degree is greater than the predicted application degree, no correction instruction is generated for the power supply allocation strategy, and the time interval between the current monitoring cycle and the next monitoring cycle is set according to the actual application degree; If the actual application degree is less than the predicted application degree, a correction instruction is generated for the power supply distribution strategy.

[0012] In some embodiments of the present application, the time interval between the current monitoring cycle and the next monitoring cycle is set according to the actual application, including: When the actual application degree is within the first preset application degree interval, selecting the first preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within the second preset application degree interval, selecting the second preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within the third preset application degree interval, selecting the third preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within a fourth preset application degree interval, the fourth preset time interval is selected as the time interval between the current monitoring cycle and the next monitoring cycle.

[0013] In some embodiments of the present application, a transmission line monitoring system based on wind-solar complementary power supply is also included: An acquisition module is used to set multiple monitoring points according to the transmission line parameters, obtain the real-time monitoring data of each monitoring point and analyze it to obtain multiple characteristic factors, and generate a power supply evaluation value for each monitoring point according to the characteristic factors; A generation module is used to screen out abnormal monitoring points according to the power supply evaluation value and determine the power supply difference corresponding to the abnormal monitoring points, and generate a power supply allocation strategy according to the relevant environmental data of the wind-solar complementary power supply system corresponding to the abnormal monitoring points and the power supply difference; The judgment module is used to set the monitoring time based on the predicted application degree of the power supply distribution strategy, obtain the change characteristics of the characteristic factors within the monitoring time and the actual application degree of the power supply distribution strategy, and judge whether to generate a correction instruction for the power supply distribution strategy according to the change characteristics of the characteristic factors and the actual application degree.

[0014] A transmission line monitoring method and system based on wind-solar hybrid power supply in an embodiment of the present application has the following beneficial effects compared with the prior art: By determining the characteristic factors of each monitoring point and generating a power supply evaluation value, the abnormal monitoring points and the corresponding power supply differences are screened out according to the power supply evaluation values, and the power supply allocation strategy is determined according to the power supply difference and related environmental data. According to the change characteristics of the characteristic factors after the power supply allocation strategy and the actual application degree, it is determined whether the power supply allocation strategy should be revised, thereby improving the power supply stability of the transmission line monitoring equipment and providing a strong guarantee for the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of a transmission line monitoring method based on wind-solar complementary power supply in a preferred embodiment of the present application; Figure 2 It is a schematic diagram of a transmission line monitoring system based on wind-solar complementary power supply in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0016] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0017] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0019] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] like Figure 1 As shown, a transmission line monitoring method based on wind-solar complementary power supply according to a preferred embodiment of the present application includes: Step S101: multiple monitoring points are set according to the transmission line parameters, real-time monitoring data of each monitoring point is acquired and analyzed to obtain multiple characteristic factors, and a power supply evaluation value of each monitoring point is generated according to the characteristic factors; Step S102: Filter out abnormal monitoring points according to the power supply evaluation value and determine the power supply difference corresponding to the abnormal monitoring point, and generate a power supply allocation strategy according to the relevant environmental data of the wind-solar hybrid power supply system corresponding to the abnormal monitoring point and the power supply difference; Step S103: Setting a monitoring period based on the predicted application degree of the power distribution strategy, obtaining the change characteristics of the characteristic factors within the monitoring period and the actual application degree of the power distribution strategy, and determining whether to generate a correction instruction for the power distribution strategy according to the change characteristics of the characteristic factors and the actual application degree.

[0021] In some embodiments of the present application, generating a power supply evaluation value of each monitoring point according to a characteristic factor includes: Pre-set multiple supply evaluation indicators for the wind-solar hybrid power supply system; Obtain the real-time monitoring data of each monitoring point at the current preset monitoring time node, analyze the real-time monitoring data of each monitoring point based on each supply evaluation index, and extract the characteristic factor of each monitoring point corresponding to each supply evaluation index; Compare the characteristic factor of each supply evaluation index corresponding to each monitoring point with the standard characteristic factor of the corresponding supply evaluation index to obtain the characteristic factor deviation between the characteristic factor and the corresponding standard characteristic factor; Generate an initial power supply evaluation value of the monitoring device at the corresponding monitoring point according to the characteristic factor deviation of all supply evaluation indicators of each monitoring point; The compensation coefficient is set according to the fluctuation degree of the historical power supply evaluation value at the historical preset monitoring time node within the current monitoring period; generating a power supply evaluation value of the monitoring device at each monitoring point according to the compensation coefficient and the initial power supply evaluation value; The calculation formula of the power supply evaluation value is: ; Among them, G is the power supply evaluation value, b0 is the compensation coefficient, a1 is the weight coefficient of the first supply evaluation index, is the deviation of the i1th characteristic factor of the first supply evaluation index, a2 is the weight coefficient of the second supply evaluation index, is the deviation of the i1th characteristic factor of the second supply evaluation index, aj is the weight coefficient of the jth supply evaluation index, is the ijth characteristic factor deviation of the jth supply evaluation index, i1=0, 1,…, v1, i2=0, 1,…, v2, ij=0, 1,…, vj, j is the total number of supply evaluation indicators, and the value range of b0 is (0.8, 1.2).

[0022] In this embodiment, when the fluctuation degree of the historical power supply evaluation value is smaller, the compensation coefficient is larger, and when the fluctuation degree of the historical power supply evaluation value is larger, the compensation coefficient is smaller.

[0023] In this embodiment, the supply evaluation indicators include supply stability, supply timeliness, supply adaptability, etc. The supply evaluation indicators are set based on relevant factors involved in evaluating the comprehensiveness, stability, and reliability of the monitoring equipment corresponding to each wind-solar complementary power supply system.

[0024] In this embodiment, the characteristic factors are obtained by analyzing and extracting the monitoring data according to a preset evaluation method of the supply evaluation index, including but not limited to the monitoring blind area and monitoring reaction time efficiency corresponding to the monitoring data.

[0025] In this embodiment, by setting multiple power supply evaluation indicators and extracting the characteristic factors of each power supply evaluation indicator, the corresponding characteristic factor deviation and the power supply evaluation value are obtained. According to the power supply evaluation value, the operating effect of the wind-solar complementary power supply system corresponding to the monitoring equipment of the current monitoring point can be accurately judged, laying the foundation for the subsequent formulation of a reasonable power supply allocation strategy.

[0026] In some embodiments of the present application, selecting abnormal monitoring points according to the power supply evaluation value and determining the power supply difference amount corresponding to the abnormal monitoring point include: Presetting a power supply evaluation value threshold; When the power supply evaluation value of each monitoring point is less than the power supply evaluation value threshold, the current monitoring point is set as an abnormal monitoring point, and a power supply evaluation value difference is generated according to the power supply evaluation value of the abnormal monitoring point and the power supply evaluation value threshold, and the power supply difference amount of the corresponding abnormal monitoring point is set according to the power supply evaluation value difference; Presetting a first preset power supply evaluation value difference interval, a second preset power supply evaluation value difference interval, a third preset power supply evaluation value difference interval and a fourth preset power supply evaluation value difference interval; When the power supply difference is within the first preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the first preset power supply difference; When the power supply difference is within the second preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the second preset power supply difference; When the power supply difference is within the third preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the third preset power supply difference; When the power supply difference is within the fourth preset power supply evaluation value difference interval, the power supply difference corresponding to the abnormal monitoring point is set to the fourth preset power supply difference.

[0027] In this embodiment, the first preset power supply evaluation value difference interval is less than the second preset power supply evaluation value difference interval, less than the third preset power supply evaluation value difference interval, and the first preset power supply difference amount is less than the second preset power supply difference amount, less than the third preset power supply difference amount, and less than the fourth preset power supply difference amount.

[0028] In this embodiment, a plurality of preset power supply evaluation value difference intervals are pre-set, and the power supply difference amount corresponding to the current power supply evaluation value difference is determined based on the mapping relationship between the historical power supply evaluation value difference and the corresponding historical power supply difference amount, thereby laying the foundation for the subsequent formulation of a reasonable power supply allocation strategy.

[0029] In some embodiments of the present application, a power supply allocation strategy is generated according to relevant environmental data of the wind-solar hybrid power supply system corresponding to the abnormal monitoring point and the power supply difference, including: Screen out the wind-solar complementary power supply system corresponding to each abnormal monitoring point, and generate a power supply distribution strategy library corresponding to the wind power complementary power supply system according to the historical power supply distribution log of the screened wind-solar complementary power supply system, wherein the power supply distribution strategy library includes a plurality of preset power supply difference amounts, and each preset power supply difference amount is associated with a plurality of specific preset power supply distribution strategies; Perform similarity analysis on the power supply difference of the abnormal monitoring point of each wind power complementary power supply system and the preset power supply difference in the corresponding power supply allocation strategy library, and set several preset power supply allocation strategies associated with the preset power supply difference with the greatest similarity as multiple first pending power supply allocation strategies; Obtain relevant environmental data of the selected wind-solar hybrid power supply system at the current preset monitoring time node, and predict relevant environmental data of the remaining preset monitoring time nodes of the current monitoring cycle; Generate predicted wind energy supply and predicted solar energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle respectively according to relevant environmental data of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle; Obtain the wind-solar supply ratio of each first pending power supply allocation strategy, determine whether the predicted wind energy supply and predicted solar energy supply at the current preset monitoring time node can achieve the corresponding wind-solar supply ratio, and set the first pending power supply allocation strategy corresponding to the achievable photovoltaic supply ratio as the second pending power supply allocation strategy; Obtain the wind-solar supply ratio of each second pending power supply allocation strategy, and generate the predicted supply duration, predicted supply stability, and predicted supply benefit of the wind-solar supply ratio of each second pending power supply allocation strategy according to the predicted wind energy supply and predicted solar energy supply at the remaining preset monitoring time nodes of the current monitoring cycle; According to the predicted supply duration, predicted supply stability and predicted supply benefit, the first value, the second value and the third value are obtained by performing dimensional unification processing; Generate a predicted application degree of the corresponding second pending power supply allocation strategy according to the first value, the second value and the third value of each second pending power supply allocation strategy; The second pending power supply allocation strategy with the largest predicted application degree is set as the supply allocation strategy corresponding to the wind-solar complementary power supply system.

[0030] In this embodiment, the current monitoring cycle and the preset monitoring time nodes in each monitoring cycle are set in advance according to the historical application degree of the same wind-solar complementary power supply system in the previous monitoring cycle.

[0031] In this embodiment, the predicted supply duration refers to the duration during which the predicted wind energy supply and the predicted solar energy supply can meet the wind-solar supply ratio of the second pending power supply allocation strategy. The predicted supply stability refers to the degree of fluctuation of the predicted wind energy supply and the predicted solar energy supply within the predicted supply duration to form a corresponding wind-solar supply ratio. When the degree of fluctuation is large, the predicted supply stability is lower, and vice versa. The predicted supply benefit refers to the wind energy and solar energy wasted after the predicted wind energy supply and the predicted solar energy supply within the predicted supply duration form a corresponding wind-solar supply ratio. The less the waste, the greater the predicted supply benefit, and vice versa.

[0032] In this embodiment, when the first value corresponding to the predicted supply duration, the second value corresponding to the predicted supply stability, and the third value corresponding to the predicted supply benefit are all larger, the corresponding predicted application degree is larger, indicating that the power supply efficiency of the corresponding second pending power supply allocation strategy is larger, that is, the corresponding wind-solar complementary power supply system has a larger operating efficiency, providing a strong guarantee for the stable operation of the power system.

[0033] In some embodiments of the present application, the relevant environmental data includes first relevant environmental data and second relevant environmental data; Arrange the first relevant environmental data according to the arrangement order of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle, and generate a first relevant environmental data sequence according to the arrangement result; Arrange the second relevant environment data according to the arrangement order of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle, and generate a second relevant environment data sequence according to the arrangement result; Inputting the first relevant environmental data in the first relevant environmental data sequence into the corresponding pre-trained wind energy supply prediction model in order, and obtaining the predicted wind energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle; The second relevant environmental data in the second relevant environmental data sequence are sequentially input into the corresponding pre-trained solar energy supply prediction model to obtain the predicted solar energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle.

[0034] In this embodiment, the first relevant environmental data refers to the relevant environmental data of the wind power supply system in the wind-solar complementary power supply system, including but not limited to wind speed, wind energy density, etc., and the second relevant environmental data refers to the relevant environmental data of the solar power supply system in the wind-solar complementary power supply system, including but not limited to the total solar radiation, average temperature, number of rainy days, etc., that is, the relevant environmental data refers to the environmental data that affects the power supply or power supply stability of the wind power supply system and the solar power supply system in the wind-solar complementary power supply system.

[0035] In some embodiments of the present application, the monitoring duration is set based on the predicted application degree of the power distribution strategy, including: Presetting a first preset application interval, a second preset application interval, a third preset application interval and a fourth preset application interval; When the predicted application degree is within the first preset application degree interval, selecting the fourth preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is within the second preset application degree interval, selecting the third preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is within the third preset application degree interval, selecting the second preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is in a fourth preset application degree interval, the first preset monitoring duration is selected as the monitoring duration of the current power supply allocation strategy.

[0036] In this embodiment, the first preset application interval < the second preset application interval < the third preset application interval < the fourth preset application interval, and the first preset monitoring time < the second preset monitoring time < the third preset monitoring time < the fourth preset monitoring time.

[0037] In this embodiment, the greater the predicted application degree, the shorter the set monitoring time is. The monitoring time is used to judge the consistency between the actual application degree of the power supply distribution strategy and the application effect of the predicted application degree, so as to timely discover and deal with the deficiencies of the power supply distribution strategy and provide guarantee for the stable operation of the power system.

[0038] In some embodiments of the present application, judging whether to generate a correction instruction for the power distribution strategy according to the change characteristics of the characteristic factor and the actual application degree includes: According to the power supply distribution strategy, the corresponding wind-solar complementary power supply system is powered, and the real-time monitoring data of the abnormal monitoring points within the monitoring period are obtained, and the characteristic factors of the corresponding abnormal monitoring points within the monitoring period are extracted; If the characteristic factor deviation between the characteristic factor of the abnormal monitoring point and the corresponding standard characteristic factor within the monitoring time is greater than the preset deviation threshold, it is determined to generate a correction instruction for the power supply distribution strategy; If the characteristic factor deviation between the characteristic factor of the abnormal monitoring point within the monitoring time and the corresponding standard characteristic factor is less than the preset deviation threshold, the characteristic factor of the corresponding abnormal monitoring point within the monitoring time is compared with the characteristic factor before power supply allocation according to the power supply allocation strategy to obtain the change characteristics of the same characteristic factor within the monitoring time, and the change characteristics include the change rate and the change value; Generate a variation coefficient based on the variation characteristics of the same characteristic factor during the monitoring period, and generate a variation evaluation value based on the variation coefficients of all characteristic factors of the abnormal monitoring point; Obtaining the actual supply duration, actual supply stability, and actual supply benefit corresponding to the power supply allocation strategy, and converting them into a fourth value, a fifth value, and a sixth value of the same dimension, respectively; generating a first application degree of the current power supply allocation strategy according to the fourth value, the fifth value and the sixth value; Setting an application compensation coefficient according to the change evaluation value, and generating an actual application degree of the power supply allocation strategy according to the application compensation coefficient and the first application degree; The calculation formula of the actual application degree is: ; Wherein, Y is the actual application degree, y0 is the first application degree, and s is the application compensation coefficient.

[0039] In this embodiment, when the change rate is larger and the change value is larger, the change coefficient is larger, and when the change rate is smaller or the change value is smaller, the change coefficient is smaller.

[0040] In this embodiment, when the change coefficient is larger, the corresponding change evaluation value is larger, and the application compensation coefficient set according to the change evaluation value is larger; when the change coefficient is smaller, the corresponding change evaluation value is smaller, and the application compensation coefficient set according to the change evaluation value is smaller, and the value range of the application compensation coefficient is (0.9, 1.1).

[0041] In some embodiments of the present application, judging whether to generate a correction instruction for the power supply distribution strategy according to the change characteristics of the characteristic factor and the actual application degree also includes: If the actual application degree is greater than the predicted application degree, no correction instruction is generated for the power supply allocation strategy, and the time interval between the current monitoring cycle and the next monitoring cycle is set according to the actual application degree; If the actual application degree is less than the predicted application degree, a correction instruction is generated for the power supply distribution strategy.

[0042] In this embodiment, when generating a correction instruction, the application degree difference between the actual application degree and the predicted application degree is generated. If the application degree difference is small, the current power supply allocation strategy is fine-tuned. If the application degree difference is large or the characteristic factor deviation is greater than the preset deviation threshold, the power supply allocation strategy after the monitoring period is re-formulated.

[0043] In some embodiments of the present application, the time interval between the current monitoring cycle and the next monitoring cycle is set according to the actual application, including: When the actual application degree is within the first preset application degree interval, selecting the first preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within the second preset application degree interval, selecting the second preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within the third preset application degree interval, selecting the third preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within a fourth preset application degree interval, the fourth preset time interval is selected as the time interval between the current monitoring cycle and the next monitoring cycle.

[0044] In this embodiment, the first preset time interval is less than the second preset time interval and less than the third preset time interval and less than the fourth preset time interval.

[0045] In this embodiment, when the actual application degree is greater, it means that the application effect of the corresponding power supply allocation strategy is better and the duration is longer, and the time interval of the next monitoring cycle can be appropriately increased.

[0046] In some embodiments of the present application, Figure 2 As shown, it also includes a transmission line monitoring system based on wind-solar complementary power supply: An acquisition module is used to set multiple monitoring points according to the transmission line parameters, obtain the real-time monitoring data of each monitoring point and analyze it to obtain multiple characteristic factors, and generate a power supply evaluation value for each monitoring point according to the characteristic factors; A generation module is used to screen out abnormal monitoring points according to the power supply evaluation value and determine the power supply difference corresponding to the abnormal monitoring points, and generate a power supply allocation strategy according to the relevant environmental data of the wind-solar complementary power supply system corresponding to the abnormal monitoring points and the power supply difference; The judgment module is used to set the monitoring time based on the predicted application degree of the power supply distribution strategy, obtain the change characteristics of the characteristic factors within the monitoring time and the actual application degree of the power supply distribution strategy, and judge whether to generate a correction instruction for the power supply distribution strategy according to the change characteristics of the characteristic factors and the actual application degree.

[0047] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A transmission line monitoring method based on wind-solar complementary power supply, characterized in that: include: Set multiple monitoring points according to the transmission line parameters, obtain and analyze the real-time monitoring data of each monitoring point, obtain multiple characteristic factors, and generate a power supply evaluation value for each monitoring point according to the characteristic factors; According to the power supply evaluation value, the abnormal monitoring points are screened out and the power supply difference corresponding to the abnormal monitoring points is determined. The power supply allocation strategy is generated according to the relevant environmental data of the wind-solar complementary power supply system corresponding to the abnormal monitoring points and the power supply difference; The monitoring period is set based on the predicted application degree of the power supply allocation strategy, the change characteristics of the characteristic factors within the monitoring period and the actual application degree of the power supply allocation strategy are obtained, and it is determined whether to generate correction instructions for the power supply allocation strategy according to the change characteristics of the characteristic factors and the actual application degree.

2. The method for monitoring a transmission line based on wind-solar hybrid power supply according to claim 1, characterized in that: Generate power supply evaluation value for each monitoring point based on characteristic factors, including: Pre-set multiple supply evaluation indicators for the wind-solar hybrid power supply system; Obtain the real-time monitoring data of each monitoring point at the current preset monitoring time node, analyze the real-time monitoring data of each monitoring point based on each supply evaluation index, and extract the characteristic factor of each monitoring point corresponding to each supply evaluation index; Compare the characteristic factor of each supply evaluation index corresponding to each monitoring point with the standard characteristic factor of the corresponding supply evaluation index to obtain the characteristic factor deviation between the characteristic factor and the corresponding standard characteristic factor; Generate an initial power supply evaluation value of the monitoring device at the corresponding monitoring point according to the characteristic factor deviation of all supply evaluation indicators of each monitoring point; The compensation coefficient is set according to the fluctuation degree of the historical power supply evaluation value at the historical preset monitoring time node within the current monitoring period; generating a power supply evaluation value of the monitoring device at each monitoring point according to the compensation coefficient and the initial power supply evaluation value; The calculation formula of the power supply evaluation value is: ； Among them, G is the power supply evaluation value, b0 is the compensation coefficient, a1 is the weight coefficient of the first supply evaluation index, is the deviation of the i1th characteristic factor of the first supply evaluation index, a2 is the weight coefficient of the second supply evaluation index, is the deviation of the i1th characteristic factor of the second supply evaluation index, aj is the weight coefficient of the jth supply evaluation index, is the ijth characteristic factor deviation of the jth supply evaluation index, i1=0, 1,…, v1, i2=0, 1,…, v2, ij=0, 1,…, vj, j is the total number of supply evaluation indicators, and the value range of b0 is (0.8, 1.2).

3. The method for monitoring a transmission line based on wind-solar complementary power supply according to claim 2, characterized in that: According to the power supply evaluation value, the abnormal monitoring points are screened out and the power supply difference corresponding to the abnormal monitoring points is determined, including: Presetting a power supply evaluation value threshold; When the power supply evaluation value of each monitoring point is less than the power supply evaluation value threshold, the current monitoring point is set as an abnormal monitoring point, and a power supply evaluation value difference is generated according to the power supply evaluation value of the abnormal monitoring point and the power supply evaluation value threshold, and the power supply difference amount of the corresponding abnormal monitoring point is set according to the power supply evaluation value difference; Presetting a first preset power supply evaluation value difference interval, a second preset power supply evaluation value difference interval, a third preset power supply evaluation value difference interval and a fourth preset power supply evaluation value difference interval; When the power supply difference is within the first preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the first preset power supply difference; When the power supply difference is within the second preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the second preset power supply difference; When the power supply difference is within the third preset power supply evaluation value difference interval, setting the power supply difference corresponding to the abnormal monitoring point to the third preset power supply difference; When the power supply difference is within the fourth preset power supply evaluation value difference interval, the power supply difference corresponding to the abnormal monitoring point is set to the fourth preset power supply difference.

4. The method for monitoring a transmission line based on wind-solar complementary power supply according to claim 3, characterized in that: The power supply allocation strategy is generated based on the relevant environmental data of the wind-solar hybrid power supply system corresponding to the abnormal monitoring point and the power supply difference, including: Screen out the wind-solar complementary power supply system corresponding to each abnormal monitoring point, and generate a power supply distribution strategy library corresponding to the wind power complementary power supply system according to the historical power supply distribution log of the screened wind-solar complementary power supply system, wherein the power supply distribution strategy library includes a plurality of preset power supply difference amounts, and each preset power supply difference amount is associated with a plurality of specific preset power supply distribution strategies; Perform similarity analysis on the power supply difference of the abnormal monitoring point of each wind power complementary power supply system and the preset power supply difference in the corresponding power supply allocation strategy library, and set several preset power supply allocation strategies associated with the preset power supply difference with the greatest similarity as multiple first pending power supply allocation strategies; Obtain relevant environmental data of the selected wind-solar hybrid power supply system at the current preset monitoring time node, and predict relevant environmental data of the remaining preset monitoring time nodes of the current monitoring cycle; Generate predicted wind energy supply and predicted solar energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle respectively according to relevant environmental data of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle; Obtain the wind-solar supply ratio of each first pending power supply allocation strategy, determine whether the predicted wind energy supply and predicted solar energy supply at the current preset monitoring time node can achieve the corresponding wind-solar supply ratio, and set the first pending power supply allocation strategy corresponding to the achievable photovoltaic supply ratio as the second pending power supply allocation strategy; Obtain the wind-solar supply ratio of each second pending power supply allocation strategy, and generate the predicted supply duration, predicted supply stability, and predicted supply benefit of the wind-solar supply ratio of each second pending power supply allocation strategy according to the predicted wind energy supply and predicted solar energy supply at the remaining preset monitoring time nodes of the current monitoring cycle; According to the predicted supply duration, predicted supply stability and predicted supply benefit, the first value, the second value and the third value are obtained by performing dimensional unification processing; Generate a predicted application degree of the corresponding second pending power supply allocation strategy according to the first value, the second value and the third value of each second pending power supply allocation strategy; The second pending power supply allocation strategy with the largest predicted application degree is set as the supply allocation strategy corresponding to the wind-solar complementary power supply system.

5. The method for monitoring a transmission line based on wind-solar hybrid power supply according to claim 4, characterized in that: The relevant environmental data includes first relevant environmental data and second relevant environmental data; Arrange the first relevant environmental data according to the arrangement order of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle, and generate a first relevant environmental data sequence according to the arrangement result; Arrange the second relevant environment data according to the arrangement order of the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle, and generate a second relevant environment data sequence according to the arrangement result; Inputting the first relevant environmental data in the first relevant environmental data sequence into the corresponding pre-trained wind energy supply prediction model in order, and obtaining the predicted wind energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle; The second relevant environmental data in the second relevant environmental data sequence are sequentially input into the corresponding pre-trained solar energy supply prediction model to obtain the predicted solar energy supply at the current preset monitoring time node and the remaining preset monitoring time nodes of the current monitoring cycle.

6. The method for monitoring a transmission line based on wind-solar complementary power supply according to claim 5, characterized in that: The monitoring duration is set based on the predicted application of the power distribution strategy, including: Presetting a first preset application interval, a second preset application interval, a third preset application interval and a fourth preset application interval; When the predicted application degree is within the first preset application degree interval, selecting the fourth preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is within the second preset application degree interval, selecting the third preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is within the third preset application degree interval, selecting the second preset monitoring time as the monitoring time of the current power supply allocation strategy; When the predicted application degree is in a fourth preset application degree interval, the first preset monitoring duration is selected as the monitoring duration of the current power supply allocation strategy.

7. The method for monitoring a transmission line based on wind-solar complementary power supply according to claim 6, characterized in that: According to the change characteristics of the characteristic factors and the actual application degree, it is determined whether to generate a correction instruction for the power supply distribution strategy, including: According to the power supply distribution strategy, the corresponding wind-solar complementary power supply system is powered, and the real-time monitoring data of the abnormal monitoring points within the monitoring period are obtained, and the characteristic factors of the corresponding abnormal monitoring points within the monitoring period are extracted; If the characteristic factor deviation between the characteristic factor of the abnormal monitoring point and the corresponding standard characteristic factor within the monitoring time is greater than the preset deviation threshold, it is determined to generate a correction instruction for the power supply distribution strategy; If the characteristic factor deviation between the characteristic factor of the abnormal monitoring point within the monitoring time and the corresponding standard characteristic factor is less than the preset deviation threshold, the characteristic factor of the corresponding abnormal monitoring point within the monitoring time is compared with the characteristic factor before power supply allocation according to the power supply allocation strategy to obtain the change characteristics of the same characteristic factor within the monitoring time, and the change characteristics include the change rate and the change value; Generate a variation coefficient based on the variation characteristics of the same characteristic factor during the monitoring period, and generate a variation evaluation value based on the variation coefficients of all characteristic factors of the abnormal monitoring point; Obtaining the actual supply duration, actual supply stability, and actual supply benefit corresponding to the power supply allocation strategy, and converting them into a fourth value, a fifth value, and a sixth value of the same dimension, respectively; generating a first application degree of the current power supply allocation strategy according to the fourth value, the fifth value and the sixth value; Setting an application compensation coefficient according to the change evaluation value, and generating an actual application degree of the power supply allocation strategy according to the application compensation coefficient and the first application degree; The calculation formula of the actual application degree is: ； Among them, Y is the actual application degree, y0 is the first application degree, and s is the application compensation coefficient.

8. The method for monitoring a transmission line based on wind-solar complementary power supply according to claim 7, characterized in that: Judging whether to generate a correction instruction for the power supply distribution strategy according to the change characteristics of the characteristic factors and the actual application degree also includes: If the actual application degree is greater than the predicted application degree, no correction instruction is generated for the power supply allocation strategy, and the time interval between the current monitoring cycle and the next monitoring cycle is set according to the actual application degree; If the actual application degree is less than the predicted application degree, a correction instruction is generated for the power supply distribution strategy.

9. The method for monitoring a transmission line based on wind-solar complementary power supply according to claim 8, characterized in that: Set the time interval between the current monitoring cycle and the next monitoring cycle according to the actual application, including: When the actual application degree is within the first preset application degree interval, selecting the first preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within the second preset application degree interval, selecting the second preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within the third preset application degree interval, selecting the third preset time interval as the time interval between the current monitoring cycle and the next monitoring cycle; When the actual application degree is within a fourth preset application degree interval, the fourth preset time interval is selected as the time interval between the current monitoring cycle and the next monitoring cycle.

10. A transmission line monitoring system based on wind-solar complementary power supply, characterized in that: include: An acquisition module is used to set multiple monitoring points according to the transmission line parameters, obtain the real-time monitoring data of each monitoring point and analyze it to obtain multiple characteristic factors, and generate a power supply evaluation value for each monitoring point according to the characteristic factors; A generation module is used to screen out abnormal monitoring points according to the power supply evaluation value and determine the power supply difference corresponding to the abnormal monitoring points, and generate a power supply allocation strategy according to the relevant environmental data of the wind-solar complementary power supply system corresponding to the abnormal monitoring points and the power supply difference; The judgment module is used to set the monitoring time based on the predicted application degree of the power supply distribution strategy, obtain the change characteristics of the characteristic factors within the monitoring time and the actual application degree of the power supply distribution strategy, and judge whether to generate a correction instruction for the power supply distribution strategy according to the change characteristics of the characteristic factors and the actual application degree.

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