CN115169119A - Method and device for evaluating wake flow loss, storage medium and electronic equipment - Google Patents

Method and device for evaluating wake flow loss, storage medium and electronic equipment Download PDF

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Publication number
CN115169119A
CN115169119A CN202210799280.1A CN202210799280A CN115169119A CN 115169119 A CN115169119 A CN 115169119A CN 202210799280 A CN202210799280 A CN 202210799280A CN 115169119 A CN115169119 A CN 115169119A
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wind turbine
turbine generator
loss
wake
average power
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朱金阳
朱志成
丁伟
李红有
黎波
唐起超
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Longyuan Beijing Wind Power Engineering Design and Consultation Co Ltd
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Longyuan Beijing Wind Power Engineering Design and Consultation Co Ltd
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/06—Wind turbines or wind farms
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
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Abstract

The disclosure relates to a wake flow loss evaluation method, a wake flow loss evaluation device, a storage medium and electronic equipment, wherein the method comprises the steps of obtaining the wind direction and the wind angle of a target wind turbine generator; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set; when the wind direction is a preset wind direction and the pair of wind angles of the target wind turbine generator are smaller than or equal to a preset angle, acquiring a plurality of first output powers corresponding to the upstream wind turbine generator at the current wind speed; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed; and calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers. Therefore, the wake loss is obtained through calculation of the actual operation data of the target wind turbine generator, the stability of the actual operation data is good, the evaluation result is more accurate, and the evaluation efficiency of the wake loss is improved.

Description

Method and device for evaluating wake flow loss, storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of wind power generation technologies, and in particular, to a wake loss evaluation method and apparatus, a storage medium, and an electronic device.
Background
The speed loss of the airflow after passing through the wind turbine generator system is represented as the wake flow of the downstream of the wind turbine generator system, and the wake flow of the wind turbine generator system causes a certain amount of power generation loss, which is also called wake flow loss. This wake loss effect is particularly pronounced in large onshore and offshore wind farms, with a resultant loss of power generation of up to 10-20%. Therefore, the wake flow evaluation of the wind turbine generator is very important for the measurement and calculation of the power generation amount of the wind power plant.
In the prior art, the speed loss data of the target wind turbine generator cabin radar is obtained and converted into the wake flow loss, but the calculated wake flow loss is not accurate enough due to uncertainty of the speed loss data obtained through the cabin radar.
Disclosure of Invention
The invention aims to provide a wake flow loss evaluation method and device, a storage medium and electronic equipment.
In order to achieve the above object, the present disclosure provides a wake loss evaluation method, including:
acquiring the wind direction and the wind angle of a target wind turbine generator; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set;
when the wind direction is a preset wind direction and the wind angle of the target wind turbine generator is smaller than or equal to a preset angle, acquiring a plurality of first output powers corresponding to the upstream wind turbine generator at the current wind speed; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed;
and calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers.
Optionally, the calculating the wake loss of the target wind turbine according to the first output powers and the second output powers includes:
calculating a first average power at a preset time according to the plurality of first output powers; calculating a second average power at the preset time according to the plurality of second output powers;
and calculating the wake flow loss of the target wind turbine generator according to the first average power and the second average power.
Optionally, the calculating the wake loss of the target wind turbine according to the first average power and the second average power includes:
and taking the difference value of the first average power and the second average power as a power loss value, and obtaining the wake loss according to the power loss value and the first average power.
Optionally, the obtaining the wake loss according to the power loss value and the first average power includes:
and taking the ratio of the power loss value and the first average power as the wake loss.
In a second aspect, the present disclosure provides an apparatus for evaluating wake loss, comprising:
the data acquisition module is used for acquiring the wind direction and the wind angle of the target wind turbine generator; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set;
the power acquisition module is used for acquiring a plurality of first output powers corresponding to the upstream wind turbine generator set at the current wind speed under the condition that the wind direction is a preset wind direction and the wind alignment angle of the target wind turbine generator set is smaller than or equal to a preset angle; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed;
and the wake flow loss calculating module is used for calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers.
Optionally, the wake loss calculating module includes:
the average power calculation submodule is used for calculating first average power under preset time according to the first output powers; calculating a second average power at the preset time according to the plurality of second output powers;
the wake flow loss calculation module is further configured to calculate the wake flow loss of the target wind turbine generator according to the first average power and the second average power.
Optionally, the wake loss calculating module includes:
a power loss value calculation operator module, configured to use a difference between the first average power and the second average power as a power loss value;
the wake flow loss calculation module is further configured to obtain the wake flow loss according to the power loss value and the first average power.
Optionally, the wake loss calculating module is further configured to:
and taking the ratio of the power loss value and the first average power as the wake loss.
In a third aspect, the present disclosure provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the wake loss assessment method described above.
In a fourth aspect, the present disclosure provides an electronic device comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the wake loss assessment method described above.
The method comprises the steps of obtaining the wind direction and the wind angle of a target wind turbine generator; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set; under the condition that the wind direction is a preset wind direction and the wind angle of the target wind turbine generator is smaller than or equal to a preset angle, acquiring a plurality of first output powers corresponding to the upstream wind turbine generator at the current wind speed; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed; and calculating the wake loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers. Therefore, the wake flow loss is obtained through calculation of the actual operation data of the target wind turbine generator, the stability of the actual operation data is good, the evaluation result is more accurate, and the efficiency of evaluating the wake flow loss is improved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a method of wake loss assessment in accordance with an exemplary embodiment.
Fig. 2 is a block diagram illustrating a wake loss estimator according to an exemplary embodiment.
Fig. 3 is a block diagram illustrating a structure of an electronic device according to an example embodiment.
Fig. 4 is a block diagram illustrating another electronic device according to an example embodiment.
Detailed Description
The following detailed description of the embodiments of the disclosure refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
It should be noted that all actions of acquiring signals, information or data in the present disclosure are performed under the premise of complying with the corresponding data protection regulation policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
Firstly, an application scenario of the method is introduced, the method is applied to a scenario of estimating wake loss of a wind turbine generator, and in the early stage of building a wind farm, the wake effect of the wind turbine generator of the wind farm is estimated to be used for measuring and calculating the generated energy of the wind farm. In the prior art, a target wind turbine generator is selected from a target wind power plant, the target wind turbine generator comprises an upstream wind turbine generator and a downstream wind turbine generator, speed loss data of the target wind turbine generator is obtained through a cabin radar, and generating capacity loss, namely wake loss, is calculated according to the speed loss data.
However, the inventor finds that, because the evolution of the wake flow field is very complex and is influenced by the thermal stability and turbulence of the atmosphere, the accuracy of the obtained speed loss data is not high by measuring the speed of the air flow passing through the wind turbine generator by the nacelle radar, and the speed loss data needs to be converted into the wake loss data, so that a user cannot visually see the wake loss data.
Therefore, the present disclosure provides a method, an apparatus, a storage medium, and an electronic device for estimating wake loss, where the method obtains a wind direction and a wind angle of a target wind turbine; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set; under the condition that the wind direction is a preset wind direction and the wind angle of the target wind turbine generator is smaller than or equal to a preset angle, acquiring a plurality of first output powers corresponding to the upstream wind turbine generator at the current wind speed; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed; and calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers. Therefore, the wake loss is obtained through calculation of the actual operation data of the target wind turbine generator, the stability of the actual operation data is good, the evaluation result is more accurate, and the evaluation efficiency of the wake loss is improved.
Fig. 1 is a flow chart illustrating a method of wake loss assessment, according to an exemplary embodiment, including the following steps.
Step 101, acquiring the wind direction and the wind angle of a target wind turbine generator.
The target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set.
For example, a target wind turbine is selected from a target wind farm, the target wind farm may be a large offshore wind farm or a large land wind farm, an upstream wind turbine is determined in the target wind farm, for example, the upstream wind turbine may be a first-row wind turbine of the target wind farm or a randomly selected wind turbine, and then a next-bit wind turbine behind the upstream wind turbine is selected as a downstream wind turbine.
It should be noted that the upstream and downstream wind turbines may be wind turbines of the same type and both in a normal operation state.
102, under the condition that the wind direction is a preset wind direction and the pair of wind angles of the target wind turbine are smaller than or equal to a preset angle, acquiring a plurality of first output powers corresponding to the upstream wind turbine at the current wind speed; and acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed.
The wind direction and the wind speed data of the target wind turbine can be acquired from the engine room radar, and the engine room radar is used for accurately detecting the wind direction and the wind speed information in the front of the hub of the wind turbine. Acquiring the wind angle and the output power of a target wind turbine generator from an SCADA system; the SCADA (supervisory control and data acquisition) system comprises a supervisory control computer, a Remote Terminal Unit (RTU), a Programmable Logic Controller (PLC), a communication infrastructure and a human-machine interface (HMI), and can be used for acquiring and monitoring wind angle and output power data of a target wind turbine.
In some embodiments, it may be determined that the wind direction is a preset wind direction through wind direction data output by the nacelle radar, and whether the target wind turbine is facing the wind is determined through a wind facing angle output by the SCADA system, where the wind facing angle refers to an angle between the target wind turbine and a free incoming wind, and in one possible implementation, the target wind turbine is determined to be facing the wind in a case that the wind facing angle is less than or equal to the preset angle, for example, the preset angle may be 5 degrees. In the case of the target wind turbine group facing the wind, the wind speed data at that time may be obtained from the nacelle radar as the current wind speed, and then, the first output powers of the upstream wind turbine and the second output powers of the downstream wind turbine at the current wind speed are obtained from the SCADA system.
For example, the preset wind direction is a main wind direction of the target wind farm, that is, a main wind direction of a wind farm where the target wind turbine is located, and due to different geographical locations of the wind farms, the main wind direction is also different under an environmental influence, for example, the main wind direction may be a north wind, a south-east wind, a north-west wind, and the like, and the disclosure is not limited herein. And the main wind direction is the wind direction at a preset distance in front of the target wind turbine, the preset distance is 2.5D in front of the target wind turbine, D is the diameter of an impeller of the wind turbine, for example, D may be 180 meters, and the preset distance is 2.5 × 180=450 meters.
And 103, calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers.
In some embodiments, a first average power at a preset time may be calculated from the plurality of first output powers; calculating a second average power at the preset time according to the plurality of second output powers; and calculating the wake flow loss of the target wind turbine generator according to the first average power and the second average power.
For example, under the current wind speed, a plurality of first output powers of an upstream wind turbine are obtained, and since the time interval of the output wind speed is greater than the time interval of the output power, the same wind speed corresponds to the plurality of output powers, and the first average power can be obtained by averaging the plurality of first output powers; for example, the preset time is 10min, the wind speed is 1m/s at this time, 10 first output powers are correspondingly obtained, and the first average power at the wind speed of 1m/s is an average value of the 10 first output powers within 10min, which is not limited in the present disclosure. Similarly, the calculation process of the second average power is the same as the above process, and is not described herein again.
For example, when calculating the wake loss of the upstream and downstream wind turbine generators according to the first average power and the second average power, a difference between the first average power and the second average power may be used as a power loss value, and the wake loss may be obtained according to the power loss value and the first average power.
The wake loss is obtained according to the power loss value and the first average power, and a ratio of the power loss value and the first average power may be used as the wake loss.
For example, the wake loss may be given by the formula
Figure BDA0003733349970000071
Calculating the obtained percentage value, wherein P 1 Is the first average power, P 2 Is the second average power.
Therefore, the wake loss is obtained through calculation of the actual operation data of the target wind turbine generator, the stability of the actual operation data is good, the evaluation result is more accurate, and the evaluation efficiency of the wake loss is improved.
Considering that the wind speed is a variable quantity and can be different values, after the wind speeds with different values are obtained, the output power of the wind speed is determined, and the wake loss is calculated according to the output power, so that the wake loss data of the wind speed can be obtained by the method.
Furthermore, the method can also be used for counting the wake loss data of each wind turbine generator in different wind power plants in different wind directions or different wind speeds, and establishing a database according to the counted wake loss data for evaluating the wake loss, so that the database can be conveniently used as a reference material for newly-built wind power plant wake evaluation.
Fig. 2 is a block diagram illustrating a wake loss evaluation apparatus according to an exemplary embodiment, where the wake loss evaluation apparatus 200 includes a data obtaining module 210, a power obtaining module 220, and a wake loss calculating module 230.
The data acquisition module 210 is configured to acquire a wind direction and a wind angle of a target wind turbine; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set;
the power obtaining module 220 is configured to obtain a plurality of first output powers corresponding to the upstream wind turbine at the current wind speed when the wind direction is a preset wind direction and the wind angle of the target wind turbine is smaller than or equal to a preset angle; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed;
the wake loss calculating module 230 is configured to calculate the wake loss of the target wind turbine generator according to the first output powers and the second output powers.
Therefore, the wake loss is obtained through calculation of the actual operation data of the target wind turbine generator, the stability of the actual operation data is good, the evaluation result is more accurate, and the evaluation efficiency of the wake loss is improved.
Optionally, the wake loss calculating module includes:
the average power calculation submodule is used for calculating first average power under preset time according to the plurality of first output powers; calculating a second average power at the preset time according to the plurality of second output powers;
the wake flow loss calculation module is further configured to calculate the wake flow loss of the target wind turbine generator according to the first average power and the second average power.
Optionally, the wake loss calculating module includes:
a power loss value operator module, configured to use a difference between the first average power and the second average power as a power loss value;
the wake loss calculation module is further configured to obtain the wake loss according to the power loss value and the first average power.
Optionally, the wake loss calculating module is further configured to:
and taking the ratio of the power loss value and the first average power as the wake loss.
In summary, the present disclosure obtains the wind direction and the wind angle of the target wind turbine; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set; when the wind direction is a preset wind direction and the pair of wind angles of the target wind turbine generator are smaller than or equal to a preset angle, acquiring a plurality of first output powers corresponding to the upstream wind turbine generator at the current wind speed; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed; and calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers. Therefore, the wake loss is obtained through calculation of the actual operation data of the target wind turbine generator, the stability of the actual operation data is good, the evaluation result is more accurate, and the evaluation efficiency of the wake loss is improved.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 3 is a block diagram illustrating an electronic device 300 in accordance with an example embodiment. As shown in fig. 3, the electronic device 300 may include: a processor 301, a memory 302. The electronic device 300 may further include one or more of a multimedia component 303, an input/output interface 304, and a communication component 305.
The processor 301 is configured to control the overall operation of the electronic device 300, so as to complete all or part of the steps in the wake loss estimation method. The memory 302 is used to store various types of data to support operation at the electronic device 300, such as instructions for any application or method operating on the electronic device 300 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and the like. The Memory 302 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia component 303 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 302 or transmitted through the communication component 305. The audio assembly also includes at least one speaker for outputting audio signals. The input/output interface 304 provides an interface between the processor 301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, 5G, etc., or a combination of one or more of them, which is not limited herein. The corresponding communication component 305 may therefore include: wi-Fi module, bluetooth module, NFC module etc..
In an exemplary embodiment, the electronic Device 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the wake loss estimation method described above.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the wake loss assessment method described above is also provided. For example, the computer readable storage medium may be the memory 302 described above comprising program instructions executable by the processor 301 of the electronic device 300 to perform the wake loss assessment method described above.
Fig. 4 is a block diagram illustrating another electronic device 400 in accordance with an example embodiment. For example, the electronic device 400 may be provided as a server. Referring to fig. 4, the electronic device 400 comprises a processor 422, which may be one or more in number, and a memory 432 for storing computer programs executable by the processor 422. The computer program stored in memory 432 may include one or more modules that each correspond to a set of instructions. Further, the processor 422 may be configured to execute the computer program to perform the wake loss assessment method described above.
Additionally, electronic device 400 may also include power component 426 and communication component 450, power component 424 may be configured to perform power management of electronic device 400, and communication component 450 may be configured to enable communication, e.g., wired or wireless communication, of electronic device 400. The electronic device 400 may also include an input/output interface 458. The electronic device 400 may operate based on an operating system, such as Windows Server, stored in the memory 432 TM ，Mac OS X TM ，Unix TM ，Linux TM And so on.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the wake loss assessment method described above is also provided. For example, the non-transitory computer readable storage medium may be the memory 432 including program instructions described above that are executable by the processor 422 of the electronic device 400 to perform the wake loss assessment method described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the wake loss assessment method described above when executed by the programmable apparatus.
The preferred embodiments of the present disclosure are described in detail above with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details in the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure as long as it does not depart from the gist of the present disclosure.

Claims (10)

1. A wake flow loss assessment method is applied to electronic equipment and comprises the following steps:
acquiring the wind direction and the wind angle of a target wind turbine generator; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set;
when the wind direction is a preset wind direction and the wind angle of the target wind turbine generator is smaller than or equal to a preset angle, acquiring a plurality of first output powers corresponding to the upstream wind turbine generator at the current wind speed; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed;
and calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers.
2. The method of claim 1, wherein calculating the wake loss of the target wind turbine from the first plurality of output powers and the second plurality of output powers comprises:
calculating a first average power under a preset time according to the plurality of first output powers; calculating a second average power at the preset time according to the plurality of second output powers;
and calculating the wake flow loss of the target wind turbine generator according to the first average power and the second average power.
3. The method of claim 2, wherein calculating the wake loss of the target wind turbine from the first average power and the second average power comprises:
and taking the difference value of the first average power and the second average power as a power loss value, and obtaining the wake loss according to the power loss value and the first average power.
4. The method of claim 3, wherein the deriving the wake loss from the power loss value and the first average power comprises:
and taking the ratio of the power loss value and the first average power as the wake loss.
5. An apparatus for estimating wake loss, comprising:
the data acquisition module is used for acquiring the wind direction and the wind angle of the target wind turbine generator; the target wind turbine generator set comprises an upstream wind turbine generator set and a downstream wind turbine generator set;
the power acquisition module is used for acquiring a plurality of first output powers corresponding to the upstream wind turbine generator set at the current wind speed under the condition that the wind direction is a preset wind direction and the wind alignment angle of the target wind turbine generator set is smaller than or equal to a preset angle; acquiring a plurality of second output powers corresponding to the downstream wind turbine generator set at the current wind speed;
and the wake flow loss calculating module is used for calculating the wake flow loss of the target wind turbine generator according to the plurality of first output powers and the plurality of second output powers.
6. The apparatus of claim 5, wherein the wake loss calculation module comprises:
the average power calculation submodule is used for calculating first average power under preset time according to the plurality of first output powers; calculating a second average power at the preset time according to the plurality of second output powers;
the wake flow loss calculation module is further configured to calculate the wake flow loss of the target wind turbine generator according to the first average power and the second average power.
7. The apparatus of claim 6, wherein the wake loss calculation module further comprises:
a power loss value calculation operator module, configured to use a difference between the first average power and the second average power as a power loss value;
the wake flow loss calculation module is further configured to obtain the wake flow loss according to the power loss value and the first average power.
8. The apparatus of claim 7, wherein the wake loss calculation module is further configured to:
and taking the ratio of the power loss value and the first average power as the wake loss.
9. A non-transitory computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, performs the steps of the method of any one of claims 1 to 4.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-4.
CN202210799280.1A 2022-07-06 2022-07-06 Method and device for evaluating wake flow loss, storage medium and electronic equipment Pending CN115169119A (en)

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