CN114881379B - Method, device and equipment for estimating power generation capacity of wind power plant and storage medium - Google Patents
Method, device and equipment for estimating power generation capacity of wind power plant and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for estimating the amount of power generated by a wind power plant. According to the method, least square method curve fitting is carried out on a standard wind speed-standard power curve of a target generator set and an average wind speed-average power curve generated by historical data to obtain the corrected wind speed, so that the power generation amount is estimated, the loss or gain condition of the electric quantity of a wind field can be mastered in real time through comparative analysis of the power generation amount and the actual power generation amount, and the power generation performance condition of the wind generators of the whole wind field is estimated.
Description
Technical Field
The invention relates to the technical field of wind power generation measurement and control, in particular to a method, a device, equipment and a storage medium for estimating the amount of generated electricity of a wind power plant.
Background
At present, the current domestic standard, such as GB/T18451.2-2021 wind generating set power characteristic test, does not relate to the electric quantity improvement of a wind generating set and related assessment standards, and only assesses a set power curve, the availability, the guaranteed available hours and the like.
(1) Guaranteed power curve: only whether the design performance and the quality of the unit reach the standard can be checked, and the electric quantity loss and the electric quantity improvement outside the statistical range of the power curve cannot be judged.
(2) The availability ratio of the machine set is as follows: the failure rate of the unit can only be evaluated, and the electric quantity improvement and cost reduction brought by the operation and maintenance optimization of the unit cannot be evaluated.
(3) Number of guaranteed available hours: it is impossible to evaluate the change in the power generation amount due to the change in the wind speed.
In summary, the contract indexes commonly used in the industry at present cannot accurately evaluate the guaranteed power generation capacity of the wind power plant, and cannot accurately evaluate the power improvement benefit brought to the wind power plant by the new technology. Therefore, how to accurately estimate the amount of power generation of the wind power plant is a technical problem which needs to be solved urgently.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for estimating the amount of power generation of a wind power plant, and aims to solve the technical problem that the amount of power generation of the wind power plant cannot be accurately estimated at present.
In order to achieve the purpose, the invention provides a method for estimating the amount of power generation of a wind power plant, which comprises the following steps:
the method comprises the steps of obtaining a model identification of a target generator set, and matching a standard wind speed-standard power curve of the target generator set according to the model identification;
extracting incoming flow wind speed meeting preset conditions in historical data, acquiring power generation power corresponding to the incoming flow wind speed, and generating an average wind speed-average power curve;
processing the standard wind speed-standard power curve and the average wind speed-average power curve by using a least square method to obtain a wind speed linear correction parameter;
when the real-time wind speed of a target time period is received, correcting the real-time wind speed by using the wind speed linear correction parameter to obtain a corrected wind speed;
and determining the power generation amount of the target generator set according to the corrected wind speed and the standard wind speed-standard power curve.
Optionally, the preset conditions are: a preset number of data points meeting the stability requirement are arranged in a first preset time; wherein the stability requirements include: the standard deviation of the second wind speed fluctuation of the data points is not more than 0.2; the statistical validity of the power curve is 1; the main state of the unit is normal operation; the average wind direction during the second preset time is at ± 8 °.
Optionally, the first preset time is 15s, and the second preset time is 10min.
Optionally, the step of obtaining the generated power corresponding to the incoming flow wind speed specifically includes: and determining the power generation power corresponding to the incoming flow wind speed according to a standard wind speed-standard power curve.
Optionally, the step of generating an average wind speed-average power curve specifically includes:
calculating the average wind speed and the average power of all data points within each first preset time according to the extracted incoming flow wind speed and the acquired generated power corresponding to the incoming flow wind speed;
dividing the average wind speed into wind speed intervals, and calculating the average wind speed again for the wind speed in each wind speed interval;
and generating an average wind speed-average power curve according to the recalculated average wind speed and the corresponding average power.
Optionally, the step of processing the standard wind speed-standard power curve and the average wind speed-average power curve by using a least square method to obtain a wind speed linear correction parameter specifically includes:
generating a wind speed sequence based on the average wind speed-average power curve;
constructing a wind speed correction relation function, wherein the input of the wind speed correction relation function is the wind speed sequence, the output of the wind speed correction relation function is the correction value of the wind speed sequence,
the corrected value of the wind speed sequence is used for linearly interpolating an average wind speed-average power curve to obtain a first power value sequence, and the wind speed sequence is used for linearly interpolating a standard wind speed-standard power curve to obtain a second power value sequence;
and obtaining the wind speed correction parameter which enables the first power value sequence and the second power value sequence to be closest by utilizing least square curve fitting.
Optionally, the expression of the wind speed correction relation function is as follows:
ws`=a*ws+b
wherein ws' is the corrected wind speed, ws is the original wind speed, and a and b are wind speed correction parameters.
In addition, in order to achieve the above object, the present invention further provides a wind farm generated energy estimating device, including:
the matching module is used for acquiring a model identification of a target generator set and matching a standard wind speed-standard power curve of the target generator set according to the model identification;
the generating module is used for extracting the incoming flow wind speed meeting the preset conditions in the historical data, acquiring the generating power corresponding to the incoming flow wind speed and generating an average wind speed-average power curve;
the obtaining module is used for processing the standard wind speed-standard power curve and the average wind speed-average power curve by using a least square method to obtain a wind speed linear correction parameter;
the correction module is used for correcting the real-time wind speed by using the wind speed linear correction parameter when receiving the real-time wind speed in a target time period to obtain a corrected wind speed;
and the determining module is used for determining the power generation amount of the target generator set according to the corrected wind speed and the standard wind speed-standard power curve.
In addition, in order to achieve the above object, the present invention also provides a wind farm should be generated amount estimation device, including: the wind power plant power generation amount estimation method comprises a memory, a processor and a wind power plant power generation amount estimation method program which is stored on the memory and can be operated on the processor, wherein the wind power plant power generation amount estimation method program realizes the steps of the wind power plant power generation amount estimation method when being executed by the processor.
In order to achieve the above object, the present invention also provides a storage medium having stored thereon a wind farm generated amount estimation method program which, when executed by a processor, realizes the steps of the above wind farm generated amount estimation method.
The method comprises the steps of obtaining a standard wind speed-standard power curve of a target generator set and an average wind speed-average power curve generated by historical data, processing the standard wind speed-standard power curve and the average wind speed-average power curve by using a least square method to obtain a wind speed linear correction parameter, correcting a real-time wind speed to obtain a corrected wind speed, and estimating the power generation amount of the target generator set. According to the method, least square method curve fitting is carried out on a standard wind speed-standard power curve of a target generator set and an average wind speed-average power curve generated by historical data to obtain the corrected wind speed, so that the power generation amount is estimated, the loss or gain condition of the electric quantity of a wind field can be mastered in real time through comparative analysis of the power generation amount and the actual power generation amount, and the power generation performance condition of the wind generators of the whole wind field is estimated.
Drawings
FIG. 1 is a schematic structural diagram of an estimation device of an amount of power to be generated of a wind farm according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for estimating the amount of power generation of a wind farm according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating an effect of wind speed correction according to an embodiment of the present invention;
fig. 4 is a block diagram of a device for estimating an amount of power to be generated in a wind farm according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
At present, in the related technical field, the accurate estimation of the required power generation amount of the wind power plant cannot be carried out.
In order to solve the problem, various embodiments of the method for estimating the amount of power generation by the wind farm are provided. According to the method for estimating the power generation capacity of the wind power plant, least square method curve fitting is carried out on a standard wind speed-standard power curve of a target generator set and an average wind speed-average power curve generated by historical data, so that the corrected wind speed is obtained, the power generation capacity is estimated, the loss or gain condition of the electric quantity of the wind power plant can be mastered in real time through comparison and analysis of the power generation capacity and the actual power generation capacity, and the power generation performance condition of the wind power generator of the whole wind power plant is estimated.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a device for estimating an amount of power to be generated by a wind farm according to an embodiment of the present invention.
The device may be a User Equipment (UE) such as a Mobile phone, smart phone, laptop, digital broadcast receiver, personal Digital Assistant (PDA), tablet computer (PAD), handheld device, vehicular device, wearable device, computing device or other processing device connected to a wireless modem, mobile Station (MS), or the like. The device may be referred to as a user terminal, portable terminal, desktop terminal, etc.
Generally, the apparatus comprises: at least one processor 301, a memory 302 and a wind farm generated energy estimation method program stored on said memory and operable on said processor, said wind farm generated energy estimation method program being configured to implement the steps of the wind farm generated energy estimation method as described previously.
The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 301 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. Processor 301 may also include an AI (Artificial Intelligence) processor for processing operations related to the wind farm reactive power generation estimation method, such that the wind farm reactive power generation estimation method model may be trained and learned autonomously, improving efficiency and accuracy.
In some embodiments, the terminal may further include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by buses or signal lines. Various peripheral devices may be connected to communication interface 303 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display screen 305, and a power source 306.
The communication interface 303 may be used to connect at least one peripheral device related to I/O (Input/Output) to the processor 301 and the memory 302. The communication interface 303 is used for receiving the movement tracks of the plurality of mobile terminals uploaded by the user and other data through the peripheral device. In some embodiments, the processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302 and the communication interface 303 may be implemented on a single chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 304 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuit 304 communicates with a communication network and other communication devices through electromagnetic signals, so as to obtain the movement tracks and other data of a plurality of mobile terminals. The rf circuit 304 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 304 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 305 is a touch display screen, the display screen 305 also has the ability to capture touch signals on or over the surface of the display screen 305. The touch signal may be input to the processor 301 as a control signal for processing. At this point, the display screen 305 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 305 may be one, the front panel of the electronic device; in other embodiments, the display screens 305 may be at least two, respectively disposed on different surfaces of the electronic device or in a folded design; in still other embodiments, the display 305 may be a flexible display disposed on a curved surface or a folded surface of the electronic device. Even further, the display screen 305 may be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The Display screen 305 may be made of LCD (liquid crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The power supply 306 is used to power various components in the electronic device. The power source 306 may be alternating current, direct current, disposable or rechargeable. When the power source 306 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery can also be used to support fast charge technology.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the corresponding power generation estimation device for a wind farm, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
The embodiment of the invention provides a method for estimating the amount of power generation of a wind power plant, and referring to fig. 2, fig. 2 is a schematic flow chart of the embodiment of the method for estimating the amount of power generation of the wind power plant.
In this embodiment, the method for estimating the amount of power generation required by the wind farm includes the following steps:
step S100: acquiring a model identification of a target generator set, and matching a standard wind speed-standard power curve of the target generator set according to the model identification;
step S200: extracting incoming flow wind speed meeting preset conditions in historical data, acquiring power generation power corresponding to the incoming flow wind speed, and generating an average wind speed-average power curve;
step S300: processing the standard wind speed-standard power curve and the average wind speed-average power curve by using a least square method to obtain wind speed linear correction parameters;
step S400: when the real-time wind speed of a target time period is received, correcting the real-time wind speed by using the wind speed linear correction parameter to obtain a corrected wind speed;
step S500: and determining the power generation amount of the target generator set according to the corrected wind speed and the standard wind speed-standard power curve.
Step S100, an entity detection sequence and an entity label sequence of the target text information are obtained, and an entity label mixed sequence is constructed according to the entity detection sequence and the entity label sequence.
In this embodiment, the estimation of the amount of power generated by the wind farm is realized, which includes the following detailed steps:
and obtaining a project theoretical wind speed-power curve according to the theoretical design of the model or the prototype experimental power curve, wherein the power curve is used as a standard power curve of the project. The calculation of the theoretical electric quantity needs to utilize the power generation wind speed-power relation of the unit under strict conditions to correct the incoming flow, so that the influence of the impeller on wind speed measurement is avoided, and reasonable incoming flow wind speed is obtained. And calculating the average power of each average wind speed screened under strict conditions, and completing the calculation of an average wind speed-average power curve according to a standard power curve calculation algorithm. And fitting the calculated power curve according to the standard power curve by using a least square method, and obtaining a wind speed correction parameter. All wind speed data (corrected by air density and the like) in a time period needing to be calculated are selected and substituted into the wind speed correction parameters to calculate the corrected wind speed. And fitting through a project standard power curve aiming at the corrected wind speed, wherein the sum of all power accumulations finally fitted is the power generation amount within the corresponding time of the wind field.
Specifically, the calculation of the theoretical electric quantity needs to perform incoming flow correction by using the power generation wind speed-power relation of the unit under strict conditions, so that the influence of the impeller on wind speed measurement is avoided, and a reasonable incoming flow wind speed is obtained. Due to the complex operation of the wind generating set, historical data needs to be strictly screened in the theoretical electric quantity calculation process. The screening conditions must be satisfied: in the unit operation data, continuous and stable operation data are selected, the data need to meet certain conditions (the wind speed fluctuation standard deviation in 15 seconds is not more than 0.2; the statistical validity of a power curve is 1, the unit main state is normal operation; the 10min average wind direction is within +/-8 ℃), the selected data need to have certain distribution in each wind speed in the middle and low wind speed section, and the number of selected data slices is not less than 50000.
Specifically, the average power at each average wind speed after being screened under strict conditions is calculated, and the calculation of the average wind speed-average power curve is completed according to a standard power curve calculation algorithm. In addition to meeting the above requirements, data screening must also ensure continuous stability of data. Namely, the following needs to be satisfied: for the continuous screening of 15 seconds of data, 13 points in the continuous 15 seconds of data must be ensured to meet the screening condition. If satisfied, the internal wind speed and power of this set of data are averaged.
And according to a standard power curve calculation algorithm, calculating an average wind speed-average power curve. The interval data calculation is completed by adopting an interval of 0.5m/s for the average wind speed and adopting an interval method for a data group consisting of the average wind speed and the average power. And calculating the average value of the average wind speed and the average power again for each average wind speed interval according to a power curve calculation algorithm. The power curve calculation algorithm formula is as follows:
in the formula: v i Representing the average wind speed after the normalization of the ith interval; v n,i,j Representing the wind speed normalized by the jth array in the ith interval; p i Representing the normalized average output power of the ith interval; p n,i,j Representing the average output power of the j-th array after normalization in the ith interval; n is a radical of i Representing the number of 10min arrays in the ith interval; n is the number of wind speed intervals.
In this embodiment, a least square method is used to fit a calculated power curve according to a standard power curve, and obtain a wind speed correction parameter, all wind speed data (corrected by air density and the like) in a time period required to be calculated are selected and substituted into the wind speed correction parameter to calculate a corrected wind speed, and the wind speed correction adopts a linear correction method in the form of ws' = a × ws + b, as shown in fig. 3, the abscissa is the wind speed, and the unit is m/s, and the ordinate is the power, and the unit is kw. The specific correction method comprises the following steps:
(1) Generating a wind speed sequence, selecting an interval with effective data in a wind speed-power curve in a wind speed interval range, keeping the sequence at equal intervals, and enabling the data length to be not less than 50 points;
(2) Defining f (x), wherein the input of f (x) is a wind speed point ws in a wind speed sequence, and the output of f (x) is a power value p1 obtained by linear interpolation of a wind speed-power curve fitted to data by using linear correction ws' = (ws-b)/a of ws;
(3) Selecting a target power value as a power value p0 obtained by performing linear interpolation on the standard power curve by using ws, and converting the problem into the following problems: obtaining parameters a and b which enable the sequence p1 to be closest to the sequence p0 by using least square curve fitting, wherein the parameters are parameters for performing subsequent linear correction on the wind speed, and ws' = a × ws + b can be known; wherein ws' is the corrected wind speed and ws is the original wind speed.
And fitting through a project standard power curve aiming at the corrected wind speed, wherein the sum of all power accumulations finally fitted is the power generation amount within the corresponding time of the wind field. And (4) by using the corrected wind speed, collecting the power which is obtained by fitting a standard power curve by using an interpolation method, and taking the power as theoretical power. And selecting the accumulated theoretical power to be generated in a certain period of time.
According to the method for estimating the power generation capacity of the wind power plant, least square method curve fitting is carried out on a standard wind speed-standard power curve of a target generator set and an average wind speed-average power curve generated by historical data to obtain a corrected wind speed, so that the power generation capacity is estimated, and the loss or gain condition of the electric quantity of the wind power plant can be mastered in real time through comparison and analysis of the power generation capacity and the actual power generation capacity, so that the power generation performance condition of the wind power generator of the whole wind power plant is estimated.
Referring to fig. 4, fig. 4 is a block diagram of a structure of an embodiment of the wind farm generated energy estimation device of the present invention.
As shown in fig. 4, the wind farm power generation amount estimation device according to the embodiment of the present invention includes:
the matching module 10 is used for acquiring a model identifier of a target generator set and matching a standard wind speed-standard power curve of the target generator set according to the model identifier;
the generation module 20 is configured to extract an incoming flow wind speed meeting a preset condition from historical data, acquire a generated power corresponding to the incoming flow wind speed, and generate an average wind speed-average power curve;
an obtaining module 30, configured to process the standard wind speed-standard power curve and the average wind speed-average power curve by using a least square method, and obtain a wind speed linear correction parameter;
the correction module 40 is configured to correct the real-time wind speed by using the wind speed linear correction parameter when receiving the real-time wind speed in the target time period, so as to obtain a corrected wind speed;
and the determining module 50 is used for determining the power generation amount of the target generator set according to the corrected wind speed and the standard wind speed-standard power curve.
Other embodiments or specific implementation manners of the device for estimating the amount of power to be generated of the wind farm can refer to the above method embodiments, and are not described herein again.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores a wind farm corresponding power generation amount estimation method program, and the wind farm corresponding power generation amount estimation method program, when executed by a processor, implements the steps of the wind farm corresponding power generation amount estimation method described above. Therefore, a detailed description thereof will be omitted. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application. It is determined that, by way of example, the program instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program, which may be stored in a computer readable storage medium and includes the processes of the embodiments of the methods described above when the program is executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
It should be noted that the above-described embodiments of the apparatus are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention may be implemented by software plus necessary general hardware, and may also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, the software program implementation is a better implementation mode for the present invention in more cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk of a computer, and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
Claims (9)
1. A method for estimating the amount of generated power of a wind power plant is characterized by comprising the following steps of:
acquiring a model identification of a target generator set, and matching a standard wind speed-standard power curve of the target generator set according to the model identification;
extracting incoming flow wind speed meeting preset conditions in historical data, acquiring power generation power corresponding to the incoming flow wind speed, and generating an average wind speed-average power curve;
processing the standard wind speed-standard power curve and the average wind speed-average power curve by using a least square method to obtain wind speed linear correction parameters;
when the real-time wind speed of a target time period is received, correcting the real-time wind speed by using the wind speed linear correction parameter to obtain a corrected wind speed;
determining the power generation amount of a target generator set according to the corrected wind speed and the standard wind speed-standard power curve;
the method comprises the following steps of processing a standard wind speed-standard power curve and an average wind speed-average power curve by using a least square method to obtain a wind speed linear correction parameter, wherein the method specifically comprises the following steps:
generating a wind speed sequence based on the average wind speed-average power curve;
constructing a wind speed correction relation function, wherein the input of the wind speed correction relation function is the wind speed sequence, and the output of the wind speed correction relation function is the correction value of the wind speed sequence;
the corrected value of the wind speed sequence is used for linearly interpolating an average wind speed-average power curve to obtain a first power value sequence, and the wind speed sequence is used for linearly interpolating a standard wind speed-standard power curve to obtain a second power value sequence;
and obtaining the wind speed correction parameter which enables the first power value sequence and the second power value sequence to be closest by utilizing least square curve fitting.
2. The method for estimating the amount of power generation required by a wind farm according to claim 1, wherein the preset conditions are: a preset number of data points meeting the stability requirement are arranged in a first preset time; wherein the stability requirements include: the standard deviation of the second wind speed fluctuation of the data points is not more than 0.2; the statistical validity of the power curve is 1; the main state of the unit is normal operation; the average wind direction over the second preset time is at ± 8 °.
3. The method for estimating the amount of power generated by a wind farm according to claim 2, wherein the first preset time is 15s, and the second preset time is 10min.
4. The method for estimating the amount of power generated by the wind farm according to claim 2, wherein the step of obtaining the generated power corresponding to the incoming wind speed specifically comprises: and determining the generated power corresponding to the incoming flow wind speed according to a standard wind speed-standard power curve.
5. The method for estimating the amount of power generated by a wind farm according to claim 4, wherein the step of generating an average wind speed-average power curve comprises:
calculating the average wind speed and the average power of all data points within each first preset time according to the extracted incoming flow wind speed and the acquired generated power corresponding to the incoming flow wind speed;
dividing the average wind speed into wind speed intervals, and calculating the average wind speed again for the wind speed in each wind speed interval;
and generating an average wind speed-average power curve according to the recalculated average wind speed and the corresponding average power.
6. The wind farm generated energy estimation method according to claim 1, wherein the wind speed correction relationship function has an expression as follows:
ws`=a*ws+b
wherein ws' is the corrected wind speed, ws is the original wind speed, and a and b are wind speed correction parameters.
7. A wind power plant generated energy estimation device is characterized by comprising:
the matching module is used for acquiring a model identification of a target generator set and matching a standard wind speed-standard power curve of the target generator set according to the model identification;
the generating module is used for extracting the incoming flow wind speed meeting the preset conditions in the historical data, acquiring the generating power corresponding to the incoming flow wind speed and generating an average wind speed-average power curve;
the obtaining module is used for processing a standard wind speed-standard power curve and an average wind speed-average power curve by using a least square method to obtain a wind speed linear correction parameter;
the correction module is used for correcting the real-time wind speed by using the wind speed linear correction parameter when receiving the real-time wind speed in a target time period to obtain a corrected wind speed;
the determining module is used for determining the power generation amount of the target generator set according to the corrected wind speed and the standard wind speed-standard power curve;
wherein the obtaining module is further configured to:
generating a wind speed sequence based on the average wind speed-average power curve;
constructing a wind speed correction relation function, wherein the input of the wind speed correction relation function is the wind speed sequence, and the output of the wind speed correction relation function is the correction value of the wind speed sequence;
the corrected value of the wind speed sequence is used for linearly interpolating an average wind speed-average power curve to obtain a first power value sequence, and the wind speed sequence is used for linearly interpolating a standard wind speed-standard power curve to obtain a second power value sequence;
and obtaining the wind speed correction parameter which enables the first power value sequence and the second power value sequence to be closest by utilizing least square curve fitting.
8. A wind farm generated energy estimation device, characterized by comprising: a memory, a processor and a wind farm corresponding energy production estimation method program stored on the memory and operable on the processor, which when executed by the processor implements the steps of the wind farm corresponding energy production estimation method according to any one of claims 1 to 6.
9. A storage medium having stored thereon a wind farm generated energy estimation method program which, when executed by a processor, implements the steps of the wind farm generated energy estimation method according to any one of claims 1 to 6.
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| CN115600931A (en) * | 2022-11-30 | 2023-01-13 | 东方电气风电股份有限公司（Cn） | Standard evaluation analysis method and system for power generation performance of wind generating set |
| CN115980504B (en) * | 2023-03-21 | 2023-08-11 | 中车山东风电有限公司 | Online detection method and detection terminal for generating performance of wind generating set |
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