CN114254805A - Time window identification method, device, equipment and storage medium for climbing event - Google Patents

Time window identification method, device, equipment and storage medium for climbing event Download PDF

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CN114254805A
CN114254805A CN202111402233.0A CN202111402233A CN114254805A CN 114254805 A CN114254805 A CN 114254805A CN 202111402233 A CN202111402233 A CN 202111402233A CN 114254805 A CN114254805 A CN 114254805A
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time window
climbing event
time
climbing
event
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阎洁
曾崇济
刘鑫
盛奕玮
刘永前
韩爽
李莉
孟航
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Huaneng Clean Energy Research Institute
North China Electric Power University
Huaneng Group Technology Innovation Center Co Ltd
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North China Electric Power University
Huaneng Group Technology Innovation Center Co Ltd
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    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract

The disclosure relates to a time window identification method, a device, equipment and a storage medium for a climbing event. The method comprises the following steps: acquiring the actual operating power of a target wind turbine generator in a preset time period; identifying climbing events in a plurality of preset time windows based on the actual operating power and a preset power threshold, wherein the preset power threshold is positively correlated with the length of the time windows; based on the number of occurrences of the hill climbing event within each time window, a target time window for predicting the hill climbing event is extracted from the plurality of time windows. According to the embodiment of the disclosure, the accurate definition of the time window can be obtained, and when the climbing event is predicted through the target time window, the climbing event of the wind power running power can be identified as accurately as possible, so that the accuracy of identifying the climbing event can be improved.

Description

Time window identification method, device, equipment and storage medium for climbing event
Technical Field
The present disclosure relates to the field of wind power ramp event technology, and in particular, to a method, an apparatus, a device, and a storage medium for identifying a time window of a ramp event.
Background
With the continuous increase of the wind power grid-connected capacity, the influence of the fluctuation of the wind power on the power grid is increased. If the wind speed suddenly changes, the wind power output can generate a steep rise or a steep drop phenomenon in a short time, a high-risk climbing event is formed, and the climbing event brings negative effects and risks to power grid peak regulation, frequency regulation and the like, so that the power quality of the power grid and the safe and stable operation of the system are seriously threatened, and a lot of difficulties are brought to large-scale wind power grid connection.
In order to identify a climbing event of the wind power, a current method for identifying a climbing event generally identifies a climbing event based on a characteristic that a fluctuation of the wind power is large in a short time. However, the time window of the current climbing event identification method is not defined, if the time window is large, two climbing events can be identified as one climbing event, and if the time window is small, it cannot be guaranteed that the climbing events are completely and effectively identified. Therefore, how to determine the time window for identifying the climbing event is an urgent problem to be solved for accurately identifying the climbing event.
Disclosure of Invention
To solve the technical problem or at least partially solve the technical problem, the present disclosure provides a time window identification method, apparatus, device and storage medium for a climbing event.
In a first aspect, the present disclosure provides a method for identifying a time window of a climbing event, where the method includes:
acquiring the actual operating power of a target wind turbine generator in a preset time period;
identifying climbing events in a plurality of preset time windows based on the actual operating power and a preset power threshold, wherein the preset power threshold is positively correlated with the length of the time windows;
based on the number of occurrences of the hill climbing event within each time window, a target time window for predicting the hill climbing event is extracted from the plurality of time windows.
In a second aspect, the present disclosure provides an apparatus for identifying a time window of a climbing event, the apparatus comprising:
the actual operating power acquisition module is used for acquiring the actual operating power of the target wind turbine generator within a preset time period;
the system comprises a climbing event identification module, a power control module and a power control module, wherein the climbing event identification module is used for identifying climbing events in a plurality of preset time windows based on actual operating power and a preset power threshold, and the preset power threshold is positively correlated with the lengths of the time windows;
and the time window identification module of the climbing event is used for extracting a target time window for predicting the climbing event from the plurality of time windows based on the occurrence frequency of the climbing event in each time window.
In a third aspect, an embodiment of the present disclosure further provides a time window identification device for a climbing event, where the device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by one or more processors, the one or more programs cause the one or more processors to implement the method for time window identification of a hill climbing event provided by the first aspect.
In a fourth aspect, the disclosed embodiments also provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the time window identification method for a hill climbing event provided in the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
the method, the device, the equipment and the storage medium for identifying the time window of the climbing event can identify the climbing events in a plurality of preset time windows based on the actual operating power and the preset power threshold value after acquiring the actual operating power of the target wind turbine generator set in the preset time period, because the preset power threshold value is positively correlated with the length of the time window, the climbing event is more easily identified when the preset power threshold value is smaller, the number of the climbing events in one time window can be reduced through the smaller time window, the climbing event is more difficult to identify when the preset power threshold value is larger, the number of the climbing events in one time window can be increased through the larger time window, therefore, the identification accuracy of the climbing event can be increased, and then, based on the occurrence frequency of the climbing event in each time window, the target time window for predicting the climbing event is extracted from the plurality of time windows, so that the accurate definition of the time windows can be obtained, and the climbing event of the wind power running power can be accurately identified as much as possible when the climbing event is predicted through the target time window, so that the accuracy of identifying the climbing event can be improved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a method for identifying a time window of a climbing event according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of another time window identification method for a hill climbing event according to an embodiment of the present disclosure;
fig. 3 is a logic diagram of a time window identification method for a hill climbing event according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a time window identification apparatus for a climbing event according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a time window identification device for a climbing event according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
With the continuous increase of the wind power grid-connected capacity, the influence of the fluctuation of the wind power on the power grid is increased. If the wind speed suddenly changes, the wind power output can generate a steep rise or a steep drop phenomenon in a short time, a high-risk climbing event is formed, and the climbing event brings negative effects and risks to power grid peak regulation, frequency regulation and the like, so that the power quality of the power grid and the safe and stable operation of the system are seriously threatened, and a lot of difficulties are brought to large-scale wind power grid connection. Therefore, wind power climbing events are efficiently and quickly detected, identified and counted, important information can be provided for economic optimization scheduling of a power department, safe and reliable operation of a power system is guaranteed, and the method has important significance for optimal configuration and reasonable scheduling of a future power grid.
In order to identify a climbing event of the wind power, a current method for identifying a climbing event generally identifies a climbing event based on a characteristic that a fluctuation of the wind power is large in a short time. However, the size of the fluctuation of the wind power in a short time is not clearly defined, and if the size of the fluctuation of the wind power in a short time is defined differently, the detected climbing events are different, so in the process of practical application, the wind power station needs to be considered according to different conditions of different wind power plants and by combining the advantages and disadvantages of each definition.
In order to accurately identify a hill climbing event, the inventors found that the influence factor of the magnitude of the fluctuation of the wind power in a short time may include a time window. However, the time window of the current climbing event identification method is not defined, if the time window is large, two climbing events can be identified as one climbing event, and if the time window is small, it cannot be guaranteed that the climbing events are completely and effectively identified. Therefore, how to determine the time window for identifying the climbing event is an urgent problem to be solved for accurately identifying the climbing event.
In order to solve the above problem, embodiments of the present disclosure provide a method, an apparatus, a device, and a storage medium for identifying a time window of a climbing event, which can accurately identify the time window of the climbing event.
First, a time window identification method for a hill climbing event according to an embodiment of the present disclosure is described with reference to fig. 1 to 5.
Fig. 1 shows a flowchart of a time window identification method for a hill climbing event according to an embodiment of the present disclosure.
In some embodiments of the present disclosure, the time window identification method of a hill climbing event shown in fig. 1 may be performed by an electronic device or a server. The electronic device may include, but is not limited to, a mobile terminal such as a smart phone, a notebook computer, a Personal Digital Assistant (PDA), a PAD, a Portable Multimedia Player (PMP), a vehicle mounted terminal (e.g., a car navigation terminal), a wearable device, etc., and a stationary terminal such as a digital TV, a desktop computer, a smart home device, etc. The server may be a cloud server or a server cluster or other devices with storage and computing functions.
As shown in fig. 1, the method for identifying a time window of a hill climbing event may include the following steps.
And S110, acquiring the actual operating power of the target wind turbine generator in a preset time period.
In the embodiment of the disclosure, when a landslide event of the target wind turbine needs to be predicted, the actual operating power of the target wind turbine within the preset time period may be input to the electronic device, so that the electronic device determines the time window of the climbing event of the target wind turbine based on the acquired actual operating power of the target wind turbine within the preset time period, and further predicts the climbing event by using the time window of the climbing event.
In the embodiment of the present disclosure, the target wind turbine may be any wind turbine that needs to perform the climbing prediction.
In the embodiment of the present disclosure, the preset time period may be any time period before the current time. Specifically, the time granularity of the preset time period may be 15 minutes.
Optionally, the preset time period may be one month to one year before the current time, or may be other time periods, which is not limited herein.
In the embodiment of the present disclosure, the actual operating power may be the actual operating power of the target wind turbine generator in the preset time period.
And S120, identifying climbing events in a plurality of preset time windows based on the actual operation power and a preset power threshold, wherein the preset power threshold is positively correlated with the length of the time windows.
In the embodiment of the disclosure, after acquiring the actual operating power and the preset power threshold, the electronic device identifies, for a plurality of preset time windows, a climbing event in the plurality of time windows according to a change condition of the actual operating power and the preset power threshold.
In the disclosed embodiment, the preset power threshold may be one or more operating powers preset for identifying a hill climbing event.
In the embodiment of the present disclosure, the preset time windows may be time periods for identifying a hill climbing event. Specifically, each preset power threshold corresponds to at least one time window.
In the embodiment of the present disclosure, the preset power threshold is positively correlated to the length of the time window. When the preset power threshold value is smaller, the climbing event can be more easily identified, the number of the climbing events in one time window can be reduced through a smaller time window, when the preset power threshold value is larger, the climbing event can be more difficultly identified, and through a larger time window, the number of the climbing events in one time window can be increased, so that the identification accuracy of the climbing event can be improved.
In some embodiments, the preset power threshold is 10% of the rated power, and the preset time windows corresponding to the 10% of the rated power are 15min, 30min, 45min, and 60min, respectively.
In other embodiments, the preset power threshold is 15% of the rated power, and the preset time windows corresponding to the 15% of the rated power are 15min, 30min, 45min, and 60min, respectively.
In still other embodiments, the preset power threshold is 20% of the rated power, and the preset time windows corresponding to 20% of the rated power are 30min, 45min, 60min, and 75min, respectively.
In still other embodiments, the preset power threshold is 50% of the rated power, and the preset time windows corresponding to 50% of the rated power are 1h, 2h, 2.25h, 2.75h, and 3h, respectively.
And S130, extracting target time windows for predicting the climbing events from the plurality of time windows based on the occurrence frequency of the climbing events in each time window.
In the embodiment of the present disclosure, after the electronic device identifies the climbing events in a plurality of preset time windows, a target time window for predicting the climbing event may be extracted from the plurality of time windows according to the occurrence number of the climbing event in each time window.
In the embodiment of the present disclosure, the occurrence number of the hill climbing event in each time window may be determined according to the starting time or the ending time of the hill climbing event.
In the disclosed embodiment, the target time window may be the time window in which the hill climbing event occurs the most frequently.
Specifically, because the target time window is the time window with the largest occurrence frequency of the climbing event, when the climbing event is predicted through the target time window, the climbing event of the wind power operation power can be identified as much as possible, and therefore the accuracy of identifying the climbing event can be improved.
In the embodiment of the disclosure, after the actual operating power of the target wind turbine generator set within the preset time period is obtained, the climbing events within a plurality of preset time windows can be identified based on the actual operating power and the preset power threshold, because the preset power threshold is positively correlated with the length of the time window, when the preset power threshold is smaller, the climbing events can be identified more easily, the number of the climbing events within one time window can be reduced by the smaller time window, when the preset power threshold is larger, the climbing events are difficult to identify, and the number of the climbing events within one time window can be increased by the larger time window, so the identification accuracy of the climbing events can be increased, then, the target time window for predicting the climbing events is extracted from the plurality of time windows based on the occurrence number of the climbing events within each time window, therefore, the accurate definition of the time window can be obtained, and when the climbing event is predicted through the target time window, the climbing event of the wind power running power can be identified as accurately as possible, so that the accuracy of identifying the climbing event can be improved.
Further, the influence factor of the magnitude of the fluctuation of the wind power in a short time may further include a power threshold. Specifically, if the power threshold is large, a problem of missed report of a climbing event occurs, so that scheduling control cannot be performed in time, and certain influence is caused on active power balance and frequency stability of a power grid; if the power threshold is small, the fluctuation which has little influence on the power grid can be identified as a climbing event, the problem of over-identification is caused, the difficulty of dispatching control is increased, and the reliability and the economy of the wind power plant are reduced.
Fig. 2 shows a flowchart of another time window identification method for a hill climbing event according to an embodiment of the present disclosure.
As shown in fig. 2, the method for identifying a time window of a hill climbing event may include the following steps.
S210, acquiring the actual operating power of the target wind turbine generator in a preset time period.
S220, identifying climbing events in a plurality of preset time windows based on the actual operation power and a preset power threshold, wherein the preset power threshold is positively correlated with the length of the time windows.
And S230, extracting target time windows for predicting the climbing events from the plurality of time windows based on the occurrence frequency of the climbing events in each time window.
S210 to S230 are similar to S10 to S130, and are not described herein.
And S240, taking the preset power threshold corresponding to the target time window as a power identification threshold of the climbing event.
In the embodiment of the disclosure, after the electronic device determines the target time window, a preset power threshold corresponding to the target time window is determined, so as to obtain a power identification threshold of a climbing event.
Thus, in the disclosed embodiments, reliable power identification thresholds and target time windows for predicting a hill climbing event may be obtained, giving accurate definitions of the power thresholds and time windows.
And S250, predicting a climbing event in the target time period based on the target time window, a preset power threshold corresponding to the target time window and the running power of the wind turbine generator in the target time period.
In the embodiment of the disclosure, after the electronic device determines the power identification threshold of the climbing event, the climbing event in the target time period may be predicted based on the target time window, the preset power threshold, and the wind turbine operating power in the target time period.
Wherein the target period of time may be the same period of time as the environmental condition of the preset period of time.
The wind turbine generator operating power may be an actual operating power of the target wind turbine generator in the target time period.
It can be understood that, since the target time period is the same as the environmental condition of the preset time period, the ramp event in the target time period can be accurately predicted based on the target time window determined by the actual operating power in the preset time period and the preset power threshold.
Therefore, in the embodiment of the disclosure, based on the power identification threshold and the target time window, the climbing event can be accurately and effectively identified, so that identification accuracy is ensured, over-identification can be avoided, and the requirement for accurately identifying the climbing event is met.
In another embodiment of the present disclosure, for each time window, a hill climbing event within the time window may be identified based on the maximum value and the minimum value of the actual operating power and a preset power threshold.
In this disclosure, optionally, S120 may specifically include the following steps:
s1201, aiming at the current time window, calculating the operation power difference between the maximum value of the actual operation power and the minimum value of the actual operation power;
s1202, if the operation power difference is larger than a preset power threshold, determining that a climbing event occurs in the current time window until the current time window is the last time window, and obtaining the climbing event in each time window.
Specifically, the electronic device may employ a sliding translation time window technique, and calculate, for a current time window, an operating power difference between a maximum value of actual operating power and a minimum value of actual operating power, determine that a hill climbing event occurs in the current time window if the operating power difference is greater than a preset power threshold, otherwise determine that a hill climbing event does not occur in the current time window, then calculate, for a next time window, an operating power difference between the maximum value of actual operating power and the minimum value of actual operating power, determine that a hill climbing event occurs in the next time window if the operating power difference is greater than the preset power threshold, otherwise determine that a hill climbing event does not occur in the next time window, translate the time window in the above manner until the current time window is a last time window, and obtain a hill climbing event in each time window.
Wherein the maximum value of the actual operating power may be the maximum operating power within the current time window. Similarly, the minimum value of the actual operating power may be the minimum operating power within the current time window.
In this embodiment of the present disclosure, optionally, while in S1202, the method for identifying a time window of a hill climbing event may further include the following steps:
and calculating the time difference from the starting time to the ending time of the climbing event to obtain the duration time of the climbing event.
Specifically, the electronic device may make a difference between the ending time and the starting time of the hill climbing event to obtain the duration of the hill climbing event.
The climbing event can include an upward climbing event and a downward climbing event, and the upward climbing event and the downward climbing event can determine the duration of the climbing event according to the time corresponding to the minimum value of the actual operating power and the time corresponding to the maximum value of the actual operating power.
In some embodiments, if the climbing event is an ascending climbing event, the time corresponding to the minimum value of the actual operating power may be set as the starting time of the climbing event, and the time corresponding to the maximum value of the actual operating power may be set as the ending time of the climbing event, and then the time corresponding to the maximum value of the actual operating power and the time corresponding to the minimum value of the actual operating power are differed to obtain the duration time of the climbing event.
In other embodiments, if the climbing event is a downward climbing event, the time corresponding to the maximum value of the actual operating power may be set as the starting time of the climbing event, and the time corresponding to the minimum value of the actual operating power may be set as the ending time of the climbing event, and then the time corresponding to the minimum value of the actual operating power and the time corresponding to the maximum value of the actual operating power are differed to obtain the duration time of the climbing event.
Alternatively, the duration of the hill climbing event may be determined by:
Ttotal＝Tend-Tstart
wherein, TendTo end time of a hill climbing event, TstartTo the start time of a hill climbing event, TtotalThe duration of the hill climbing event.
Therefore, in the embodiment of the disclosure, when the climbing event in each time window is identified, the duration of the climbing event can be calculated to obtain the time period of the climbing event in each time window, which is beneficial for a user to analyze the climbing event.
In this embodiment of the present disclosure, optionally, S1202 may specifically include the following steps:
s1, extracting a first climbing trend of a first climbing event occurring in a current time window and a second climbing trend of a second climbing event occurring in an upper time window;
and S2, if the difference value of the first climbing trend and the second climbing trend is smaller than a preset threshold value, combining the first climbing event and the second climbing event into the same climbing event.
Specifically, for a current time window and a last time window, the electronic device may determine, according to an operating power difference of a climbing event, an actual operating power corresponding to each time point, and a climbing trend of the climbing event, a first climbing trend of a first climbing event occurring in the current time window and a second climbing trend of a second climbing event occurring in the last time window, and then determine whether a difference between the first climbing trend and the second climbing trend is smaller than a preset threshold, if so, the first climbing event and the second climbing event are merged into the same climbing event, otherwise, the first climbing event occurring in the current time window and the second climbing event occurring in the last time window are respectively retained.
Wherein the first climbing tendency may include a climbing slope and a climbing tendency of the first climbing event. Specifically, the climbing slope may be determined according to respective corresponding times of the maximum operating power and the minimum operating power of the first climbing event, and the maximum operating power and the minimum operating power. The climbing tendency can be an upward climbing tendency or a downward climbing tendency.
Wherein the second climbing tendency may include a climbing slope and a climbing tendency of the second climbing event. Specifically, the climbing slope may be determined according to respective corresponding times of the maximum operating power and the minimum operating power of the second climbing event, and the maximum operating power and the minimum operating power. The climbing tendency can be an upward climbing tendency or a downward climbing tendency.
The preset threshold may be a climbing trend difference value used for determining whether the first climbing event and the second climbing event are similar climbing events.
In this embodiment of the present disclosure, optionally, while in S2, the method for identifying a time window of a hill climbing event may further include the following steps:
and determining the starting time and the ending time of the combined climbing event according to the first starting time and the first ending time of the first climbing event and the second starting time and the second ending time of the second climbing event.
Specifically, the electronic device may determine a first start time and a first end time of the first climbing event and a second start time and a second end time of the second climbing event according to a maximum value of actual operating power and a minimum value of actual operating power in the first climbing event and the second climbing event, and obtain a start time and an end time of the combined climbing event according to the first start time and the first end time, the second start time and the second end time.
And the starting time of the combined climbing event is the starting time with the smaller value in the first starting time and the second starting time.
And the end time of the combined climbing event is the end time with the larger value in the first end time and the second end time.
Further, after the start time and the end time of the combined climbing event are obtained, the duration of the combined climbing event may be calculated according to the start time and the end time.
Therefore, in the embodiment of the disclosure, for adjacent time windows, the climbing events with similar climbing trends can be merged to obtain a merged climbing event, so as to further analyze the merged climbing event, calculate the duration of the merged climbing event, and facilitate a user to analyze the merged climbing event.
In yet another embodiment of the present disclosure, a time window with the largest number of occurrences of the hill climbing event may be determined, resulting in a target time window.
In some embodiments of the present disclosure, S130 may specifically include the following steps:
and S1301, responding to a time window with the maximum occurrence frequency of the climbing event to serve as a target time window.
Specifically, after the electronic device determines the climbing event in each time window, the electronic device may count the occurrence frequency of the climbing event in each time window according to the start time or the end time of the climbing event in each time window, and extract a time window with the largest occurrence frequency as the target time window.
In other embodiments of the present disclosure, S130 may specifically include the following steps:
s1302, responding to at least two time windows with the maximum occurrence frequency of the climbing event, and taking the time windows as initial identification time windows;
and S1303, selecting a target time window from the initial identification time windows according to a preset selection requirement.
Specifically, after the electronic device determines the climbing event in each time window, the electronic device may count the occurrence frequency of the climbing event in each time window according to the start time or the end time of the climbing event in each time window, extract a time window with the largest occurrence frequency as an initial identification time window, and select a target time window from the initial identification time window according to a preset selection requirement.
Wherein the preset selection requirement may be a limiting condition for selecting the target time window.
Optionally, the predetermined selection requirement may include a limit condition for the length of the time window and/or a limit condition for the power threshold.
Specifically, after the electronic device determines the initial identification window, the electronic device may extract the limiting condition of the length of the time window and/or the limiting condition of the power threshold from the preset selection requirement, and determine a time window satisfying the limiting condition of the length of the time window and/or the limiting condition of the power threshold as the target time window.
Therefore, in the embodiment of the present disclosure, a time window with the largest occurrence frequency of a climbing event may be directly used as a target time window for predicting the climbing event, or after at least two time windows with the largest occurrence frequency of the climbing event are selected, the target time window for predicting the climbing event that meets the selection requirement may be selected in combination with a preset selection requirement, so that a time window that meets a user requirement may be obtained as the target time window.
In yet another embodiment of the present disclosure, the steps of the foregoing embodiments may be explained based on a logic diagram of target time window identification.
Fig. 3 shows a logic diagram of a time window identification method for a hill climbing event according to an embodiment of the present disclosure.
As shown in fig. 3, the method for identifying a time window of a hill climbing event may include the following steps:
s310, collecting the actual operating power of the target wind turbine generator in the target wind power plant in one month to one year.
In the embodiment of the present disclosure, the actual operating power of the wind turbine for one month to one year may be the actual operating power of the target wind turbine within a preset time period.
And S320, establishing a climbing event identification method of the wind power based on the selected climbing event definition.
In the embodiment of the present disclosure, the electronic device may identify, based on the actual operating power and the preset power threshold, a climbing event in a plurality of preset time windows, where the preset power threshold is positively correlated to the length of the time window.
S330, searching an optimal time window based on different preset power thresholds.
In the embodiment of the disclosure, for the time window corresponding to each preset power threshold, the target time windows are extracted from the multiple time windows according to the occurrence frequency of the climbing event in each time window, and the optimal time window is obtained.
In some embodiments, the preset power threshold is 10% of the rated power, and the preset time windows corresponding to the 10% of the rated power are 15min, 30min, 45min, and 60min, respectively.
In other embodiments, the preset power threshold is 15% of the rated power, and the preset time windows corresponding to the 15% of the rated power are 15min, 30min, 45min, and 60min, respectively.
In still other embodiments, the preset power threshold is 20% of the rated power, and the preset time windows corresponding to 20% of the rated power are 30min, 45min, 60min, and 75min, respectively.
In still other embodiments, the preset power threshold is 50% of the rated power, and the preset time windows corresponding to 50% of the rated power are 1h, 2h, 2.25h, 2.75h, and 3h, respectively.
The embodiment of the present disclosure further provides a time window identification apparatus for a climbing event, which is used to implement the time window identification method for a climbing event described above, and is described below with reference to fig. 4. In the embodiment of the present disclosure, the time window identification device of the hill climbing event may be an electronic device. The electronic device may include a mobile terminal, a tablet computer, a vehicle-mounted terminal, a wearable electronic device, a Virtual Reality (VR) all-in-one machine, an intelligent home device, and other devices having a communication function.
Fig. 4 shows a schematic structural diagram of a time window identification apparatus for a climbing event according to an embodiment of the present disclosure.
As shown in fig. 4, the time window identifying apparatus 400 for a hill climbing event may include: the power harvesting module 410, the hill climbing event identification module 420 and the time window identification module 430 of the hill climbing event are actually operated.
An actual operating power obtaining module 410, configured to obtain an actual operating power of the target wind turbine generator within a preset time period;
a climbing event identification module 420, configured to identify climbing events in a plurality of preset time windows based on the actual operating power and a preset power threshold, where the preset power threshold is positively correlated to the length of the time window;
and a time window identification module 430 for the climbing event, configured to extract a target time window for predicting the climbing event from the multiple time windows based on the occurrence number of the climbing event in each time window.
In the embodiment of the disclosure, after the actual operating power of the target wind turbine generator set within the preset time period is obtained, the climbing events within a plurality of preset time windows can be identified based on the actual operating power and the preset power threshold, because the preset power threshold is positively correlated with the length of the time window, when the preset power threshold is smaller, the climbing events can be identified more easily, the number of the climbing events within one time window can be reduced by the smaller time window, when the preset power threshold is larger, the climbing events are difficult to identify, and the number of the climbing events within one time window can be increased by the larger time window, so the identification accuracy of the climbing events can be increased, then, the target time window for predicting the climbing events is extracted from the plurality of time windows based on the occurrence number of the climbing events within each time window, therefore, the accurate definition of the time window can be obtained, and when the climbing event is predicted through the target time window, the climbing event of the wind power running power can be identified as accurately as possible, so that the accuracy of identifying the climbing event can be improved.
Optionally, the hill climbing event identifying module 420 includes: the system comprises an operating power difference calculation unit and a climbing event identification unit;
the operation power difference calculation unit is used for calculating the operation power difference between the maximum value of the actual operation power and the minimum value of the actual operation power aiming at the current time window;
and the climbing event identification unit is used for determining that a climbing event occurs in the current time window until the current time window is the last time window if the operating power difference is larger than a preset power threshold, and obtaining the climbing event in each time window.
Optionally, the climbing event recognizing unit includes: the climbing trend extraction subunit and the climbing event merging subunit;
the climbing trend extraction subunit is used for extracting a first climbing trend of a first climbing event occurring in a current time window and a second climbing trend of a second climbing event occurring in an upper time window;
and the climbing event merging subunit is used for merging the first climbing event and the second climbing event into the same climbing event if the difference value of the first climbing trend and the second climbing trend is smaller than a preset threshold value.
Optionally, the climbing event identification unit further includes: a time merging subunit;
and the time combining subunit is used for determining the start time and the end time of the combined climbing event according to the first start time and the first end time of the first climbing event and the second start time and the second end time of the second climbing event.
Optionally, the climbing event identification unit further includes: a duration calculation subunit;
and the duration calculating subunit is used for calculating the time difference from the starting time to the ending time of the climbing event to obtain the duration of the climbing event.
Optionally, the time window identifying module 430 of the hill climbing event is specifically configured to respond to a time window with the largest occurrence number of the hill climbing event as the target time window.
Optionally, the time window identification module 430 for a climbing event includes an initial identification time window extraction unit and a target time window extraction unit;
an initial identification time window extraction unit, which is used for responding at least two time windows with the maximum occurrence frequency of the climbing event as initial identification time windows;
and the target time window extraction unit is used for selecting a target time window from the initial identification time windows according to a preset selection requirement.
Optionally, the apparatus further comprises: a power identification threshold determination module;
and the power identification threshold value determining module is used for taking a preset power threshold value corresponding to the target time window as the power identification threshold value of the climbing event.
Optionally, the apparatus further comprises: a climbing event prediction module;
and the climbing event prediction module is used for predicting climbing events in the target time period based on the target time window, a preset power threshold corresponding to the target time window and the running power of the wind turbine generator in the target time period.
It should be noted that the time window identification apparatus 400 of the hill climbing event shown in fig. 4 may perform each step in the method embodiment shown in fig. 1 to fig. 3, and implement each process and effect in the method embodiment shown in fig. 1 to fig. 3, which are not described herein again.
Fig. 5 shows a schematic structural diagram of a time window identification device for a climbing event according to an embodiment of the present disclosure.
As shown in fig. 5, the data acquisition device may include a processor 501 and a memory 502 having stored computer program instructions.
Specifically, the processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
Memory 502 may include a mass storage for information or instructions. By way of example, and not limitation, memory 502 may include a Hard Disk Drive (HDD), a floppy Disk Drive, flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 502 may include removable or non-removable (or fixed) media, where appropriate. Memory 502 may be internal or external to the integrated gateway device, where appropriate. In a particular embodiment, the memory 502 is non-volatile solid-state memory. In a particular embodiment, the Memory 502 includes a Read-Only Memory (ROM). The ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (Electrically Erasable PROM, EPROM), Electrically Erasable PROM (Electrically Erasable PROM, EEPROM), Electrically Alterable ROM (Electrically Alterable ROM, EAROM), or flash memory, or a combination of two or more of these, where appropriate.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to perform the steps of the time window identification method for a hill climbing event provided by the embodiments of the present disclosure.
In one example, the time window identification of the hill climb event may also include the transceiver 503 and the bus 504. As shown in fig. 5, the processor 501, the memory 502 and the transceiver 503 are connected via a bus 504 to complete communication.
Bus 504 includes hardware, software, or both. By way of example, and not limitation, a BUS may include an Accelerated Graphics Port (AGP) or other Graphics BUS, an Enhanced Industry Standard Architecture (EISA) BUS, a Front-Side BUS (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) BUS, an InfiniBand interconnect, a Low Pin Count (LPC) BUS, a memory Bus, a Micro Channel Architecture (MCA) Bus, a Peripheral Component Interconnect (PCI) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Standards Association Local Bus (VLB) Bus, or other suitable Bus, or a combination of two or more of these. Bus 504 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The following is an embodiment of a computer-readable storage medium provided in an embodiment of the present disclosure, the computer-readable storage medium and the time window identification method of a climbing event in the foregoing embodiments belong to the same inventive concept, and details that are not described in detail in the embodiment of the computer-readable storage medium may refer to the above embodiment of the time window identification method of a climbing event.
The present embodiments provide a storage medium containing computer-executable instructions which, when executed by a computer processor, perform a method of time window identification of a hill climbing event, the method comprising:
acquiring the actual operating power of a target wind turbine generator in a preset time period;
identifying climbing events in a plurality of preset time windows based on the actual operating power and a preset power threshold, wherein the preset power threshold is positively correlated with the length of the time windows;
based on the number of occurrences of the hill climbing event within each time window, a target time window for predicting the hill climbing event is extracted from the plurality of time windows.
Of course, the storage medium provided by the embodiments of the present disclosure contains computer-executable instructions, and the computer-executable instructions are not limited to the above method operations, and may also perform related operations in the time window identification method of a hill climbing event provided by any embodiment of the present disclosure.
From the above description of the embodiments, it is obvious for a person skilled in the art that the present disclosure can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, where the computer software product may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk, or an optical disk of a computer, and includes several instructions to enable a computer cloud platform (which may be a personal computer, a server, or a network cloud platform, etc.) to execute the time window identification method for a hill climbing event provided in the embodiments of the present disclosure.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present disclosure and the technical principles employed. Those skilled in the art will appreciate that the present disclosure is not limited to the specific embodiments illustrated herein and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the present disclosure. Therefore, although the present disclosure has been described in greater detail with reference to the above embodiments, the present disclosure is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present disclosure, the scope of which is determined by the scope of the appended claims.

Claims (12)

1. A time window identification method for a climbing event is characterized by comprising the following steps:
acquiring the actual operating power of a target wind turbine generator in a preset time period;
identifying climbing events in a plurality of preset time windows based on the actual operation power and a preset power threshold, wherein the preset power threshold is positively correlated with the length of the time windows;
extracting a target time window for predicting a hill climbing event from the plurality of time windows based on the number of occurrences of the hill climbing event within each of the time windows.
2. The method of claim 1, wherein identifying a hill climbing event within a plurality of predetermined time windows based on the actual operating power and a predetermined power threshold comprises:
calculating the operation power difference between the maximum value of the actual operation power and the minimum value of the actual operation power aiming at the current time window;
and if the operating power difference is larger than the preset power threshold, determining that a climbing event occurs in the current time window until the current time window is the last time window, and obtaining the climbing event in each time window.
3. The method of claim 2, wherein the determining that a hill climbing event occurs within the current time window until the current time window is a last time window, and obtaining a hill climbing event within each of the time windows comprises:
extracting a first climbing trend of a first climbing event occurring in the current time window and a second climbing trend of a second climbing event occurring in the last time window;
and if the difference value of the first climbing trend and the second climbing trend is smaller than a preset threshold value, combining the first climbing event and the second climbing event into the same climbing event.
4. The method of claim 3, wherein while said merging the first and second hill climbing events into the same hill climbing event, the method further comprises:
and determining the starting time and the ending time of the combined climbing event according to the first starting time and the first ending time of the first climbing event and the second starting time and the second ending time of the second climbing event.
5. The method according to any one of claims 2 to 4, wherein while the determining that a hill climbing event occurs in the current time window is performed until the current time window is the last time window, the method further comprises:
and calculating the time difference from the starting time to the ending time of the climbing event to obtain the duration time of the climbing event.
6. The method of claim 1, wherein extracting a target time window for predicting a hill climbing event from the plurality of time windows based on the number of occurrences of the hill climbing event within each of the time windows comprises:
responding to a time window with the highest occurrence number of the grade climbing event as the target time window.
7. The method of claim 1, wherein extracting a target time window for predicting a hill climbing event from the plurality of time windows based on the number of occurrences of the hill climbing event within each of the time windows comprises:
responding to at least two time windows with the highest occurrence frequency of the climbing event as initial identification time windows;
and selecting the target time window from the initial identification time window according to a preset selection requirement.
8. The method of claim 1, wherein after extracting a target time window for predicting a hill climbing event from the plurality of time windows based on the number of occurrences of the hill climbing event within each of the time windows, the method further comprises:
and taking a preset power threshold corresponding to the target time window as a power identification threshold of the climbing event.
9. The method according to claim 8, wherein after the preset power threshold corresponding to the target time window is used as the power identification threshold of the hill climbing event, the method further comprises:
and predicting a climbing event in the target time period based on the target time window, a preset power threshold corresponding to the target time window and the running power of the wind turbine generator in the target time period.
10. A time window identification apparatus for a hill climbing event, comprising:
the actual operating power acquisition module is used for acquiring the actual operating power of the target wind turbine generator within a preset time period;
the climbing event identification module is used for identifying climbing events in a plurality of preset time windows based on the actual operating power and a preset power threshold, wherein the preset power threshold is positively correlated with the length of the time windows;
and the time window identification module of the climbing event is used for extracting a target time window for predicting the climbing event from the plurality of time windows based on the occurrence frequency of the climbing event in each time window.
11. A time window identification device for a hill climbing event, comprising:
a processor;
a memory for storing executable instructions;
wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the method for identifying a time window of a hill climbing event according to any of the claims 1 to 9.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, causes the processor to carry out the method for time window identification of a hill climbing event according to any one of the claims 1 to 9.
CN202111402233.0A 2021-11-22 2021-11-22 Time window identification method, device, equipment and storage medium for climbing event Pending CN114254805A (en)

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