JP2019183734A - Wind farm, and operation method and controller thereof - Google Patents

Abstract

To improve accuracy of optimizing the entire wind farm.SOLUTION: A method for operating a wind farm comprising a plurality of wind turbines, comprises an acquisition step of acquiring at least one of a wind condition including a wind direction or a wind speed or power generation output from each of the plurality of wind turbines; a first calculation step of inputting a setting value related to a pitch angle, yaw angle or power generation output of each wind turbine to a wind farm model to calculate a predicted value of the wind condition or power generation output related to each wind turbine; and an estimation step of estimating a representative wind condition in the entire wind farm based on the difference between the wind condition or power generation output acquired in the acquisition step and the predicted value calculated by the wind farm model.SELECTED DRAWING: Figure 5

Description

  The present disclosure relates to a wind farm, an operation method thereof, and a control device.

  Conventionally, in a wind farm that generates power with a plurality of wind turbine generators (hereinafter referred to as wind turbines), the rear wind turbine disposed on the leeward side is usually the wake of the front wind turbine relative to the front wind turbine disposed on the windward side. That is, the power generation output is smaller than that of the front windmill due to the influence of the wake. For this reason, various operation methods and control methods have been proposed in order to optimize the output of the entire wind farm, which is the sum of the power generation outputs created in each windmill.

  For example, Patent Document 1 describes that the output of the entire wind farm is optimized by a model using a digital twin of the wind farm.

US Patent Publication No. 2016/0333855

  By the way, the digital twin technique disclosed in Patent Document 1 uses measurement values (actual measurement values) for input to a windmill model (for example, wind conditions including wind direction and wind speed). There is a problem that it is difficult to obtain an optimum adjustment result with high accuracy.

  In view of the above-described problems, at least one embodiment of the present disclosure aims to improve optimization accuracy of the entire wind farm.

(1) A wind farm operating method according to at least one embodiment of the present disclosure includes:
A wind farm operating method including a plurality of windmills,
An acquisition step of acquiring at least one of a wind condition or a power generation output including a wind direction or a wind speed from each of the plurality of wind turbines;
A first calculation step of inputting a set value relating to a pitch angle, a yaw angle or a power generation output of each of the windmills to a wind farm model to calculate a predicted value of a wind condition or a power generation output relating to each of the windmills;
An estimation step of estimating a representative wind condition in the entire wind farm based on a difference between the wind condition acquired in the acquisition step or the power generation output and the predicted value calculated by the wind farm model. .

  According to the above method (1), when operating a wind farm including a plurality of wind turbines, each wind turbine is calculated by inputting a set value relating to the pitch angle, yaw angle or power generation output of each wind turbine to the wind farm model. The predicted value of wind condition or power generation output is calculated. Then, based on the difference between the predicted value calculated by the wind farm model and the wind condition or power generation output of the wind farm obtained by actual measurement, the representative wind condition of the entire wind farm can be obtained by estimation. In the estimation step, the wind condition or power generation output of each wind turbine is calculated by performing optimization calculation for representative wind condition estimation based on the difference between the wind direction, wind speed or power generation output of each wind turbine once acquired and the predicted value by the wind farm model. Optimization calculations can be performed in an offline environment without the need for sequential real-time acquisition. Therefore, for example, the power generation output or wind condition of each windmill is acquired on a measured value basis one by one and model calculation is performed, or the wind condition or power generation output of a specific windmill is treated as a representative of the wind condition or power generation output of the entire wind farm. Since the representative wind condition can be obtained with higher accuracy than the conventional method as described above, the power generation output of the entire wind farm can be managed more optimally and operated.

(2) In some embodiments, in the method according to (1) above,
A second calculation step may be provided in which the representative wind condition estimated in the estimation step is input to the wind farm model to obtain an optimum value of the set value for each wind turbine.

  According to the above method (2), by inputting the representative wind conditions obtained in the estimation step to the wind farm model, it is possible to obtain the optimum value of the set value relating to the pitch angle, yaw angle or power generation output for each windmill. .

(3) In some embodiments, in the method according to (2) above,
A command step for issuing a command to each wind turbine based on the set value obtained in the second calculation step may be provided.

  According to the above method (3), each wind turbine is operated based on the optimum value of the setting value calculated in the second calculation step, thereby realizing an operation method that can further optimize the power generation output of the entire wind farm. can do.

(4) In some embodiments, in the method according to any one of (1) to (3) above,
The wind farm model may be a physical model that considers the influence of wake.

  According to the method of (4) above, each of the first calculation steps uses a wind farm model that takes into account the influence of the wake of the wind turbine disposed on the windward, that is, the wake on the power generation output of the wind turbine disposed on the leeward. Since the predicted value of the wind condition or power generation output related to the windmill can be calculated, a predicted value closer to the power generation output in the actual wind farm can be obtained.

(5) In some embodiments, in the method according to any one of (1) to (4) above,
In the acquisition step, the wind direction, wind speed, and power generation output of each windmill may be acquired every predetermined period.

  According to the method of (5) above, the wind conditions such as the wind direction and wind speed of each wind turbine and the power generation output are acquired every predetermined period, and the acquired wind conditions and power generation output are acquired by the wind farm within the predetermined period. It is treated as an actual measurement value acquired in (1). In other words, the wind condition and power generation output obtained from the wind farm at a certain point in time can be used as the wind condition and power generation output of the wind farm within the predetermined period thereafter to calculate the predicted wind condition or power generation output for each wind turbine. Therefore, it is possible to execute the estimation step of calculating the predicted value by the wind farm model and estimating the representative wind condition of the entire wind farm offline.

(6) A wind farm control device according to at least one embodiment of the present disclosure includes:
A wind farm control device including a plurality of wind turbines,
An acquisition unit for acquiring at least one of a wind condition or a power generation output including a wind direction or a wind speed from each of the plurality of wind turbines;
A first calculation unit that inputs a set value related to the pitch angle, yaw angle, or power generation output of each windmill to a wind farm model, and calculates a predicted value of the wind condition or power generation output related to each windmill;
An estimation unit that estimates a representative wind condition in the entire wind farm based on a difference between the wind condition acquired by the acquisition unit or the power generation output and the predicted value calculated by the first calculation unit. Yes.

  According to the configuration of the above (6), as described in the above (1), for example, the power generation output or wind condition of each windmill is obtained one by one on an actual measurement basis to perform model calculation, or the wind of a specific windmill Compared to conventional methods that treat wind conditions and power generation output as representative of wind conditions and power generation output of the entire wind farm, the representative wind conditions can be obtained with higher accuracy, so the power output of the entire wind farm is more optimal. It can be managed and operated.

(7) In some embodiments, in the configuration described in (6) above,
A second calculator that inputs a representative wind condition estimated by the estimator into a wind farm model and obtains a set value including at least one of a pitch angle, a yaw angle, and a power generation output for each of the wind turbines; Also good.

  According to the configuration of (7) above, as described in (2) above, the representative wind conditions obtained by the estimation unit are input to the wind farm model, so that the pitch angle, yaw angle or power generation output for each wind turbine is related. The optimum set value can be obtained.

(8) A wind farm according to at least one embodiment of the present disclosure is:
Multiple windmills,
The control device according to (6) or (7) configured to perform operation control of the plurality of wind turbines;
It has.

  According to the method (8), it is possible to provide a wind farm that can further optimize the overall power generation output.

  According to at least one embodiment of the present invention, it is possible to improve the optimization accuracy of the entire wind farm.

It is a schematic diagram showing an example of composition of a wind farm concerning at least one embodiment of this indication. It is the schematic which shows the structural example of the windmill in some embodiment. It is a block diagram which shows the structure of the control system in the control apparatus of the wind farm which concerns on some embodiment. It is a schematic diagram which shows the control method of the wind farm in some embodiment. It is a flowchart which shows the process by the control apparatus of the wind farm which concerns on some embodiment.

  Hereinafter, some embodiments of the present disclosure will be described with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, and the like of the component parts described in the following embodiments are not intended to limit the scope of the present invention unless otherwise specified, and are merely illustrative examples. Only.

  FIG. 1 is a diagram showing a configuration example of a wind farm. FIG. 2 is a view showing an example of a windmill constituting a wind farm.

  As shown in FIG. 1, the wind farm 1 according to some embodiments includes a plurality of wind turbines T and a wind farm controller 10 (wind farm control device). The wind farm controller 10 controls operation of the wind farm 1 including a plurality of wind turbines T1 to Tn. Hereinafter, after giving examples of wind turbines T1 to T3 constituting the wind farm 1, details of the wind farm controller 10 will be described. In FIG. 1, three wind turbines T1 to T3 are illustrated as a plurality of wind turbines. However, the number of wind turbines constituting the wind farm 1 is not limited to this, and is an arbitrary number (for example, n or N). It may be.

  In some embodiments, each windmill T1 to T3 of the wind farm 1 is connected to the hub 104 and the rotor 105, which includes a plurality of blades 102 and a hub 104 to which they are attached, as shown in FIG. A main shaft 106 and a generator 110 driven by the rotational force of the main shaft 106 are provided. In some embodiments, the main shaft 106 and the generator 110 may be connected via a drive train 108 and its output shaft 109. The drive train 108 may include a gear type gearbox that speeds up the rotation of the main shaft 106. Further, the drive train 108 may include a hydraulic transmission instead of the gear type gearbox. In another embodiment, instead of the drive train 108, a direct drive system in which the main shaft 106 and the generator 110 are directly connected may be used.

  The drive train 108 and the generator 110 may be housed in a nacelle 112 that rotatably supports the main shaft 106 via a main shaft bearing 107. The nacelle base plate 114 constituting the bottom of the nacelle 112 may be supported by the tower 116 via a yaw slewing bearing 118. A yaw turning mechanism 119 having a yaw motor 21 (see FIG. 3) and a pinion gear may be fixed to the nacelle base plate 114, and a pinion gear of the yaw turning mechanism 119 is attached to a ring gear provided on the tower 116 side. The nacelle 112 may be turned with respect to the tower 116 by driving the yaw motor 21 in a state where the two are engaged. Further, each blade 102 is supported by the hub 104 via a slewing bearing (not shown), and the pitch angle can be adjusted by a pitch drive actuator 23 (see FIG. 3) provided in the hub 104. May be.

  In the wind turbine T having the configuration example shown in FIG. 2, state values indicating the damage state or deterioration state of various parts are acquired by a state value detection sensor (for example, including the load sensor 33 shown in FIG. 3), and the wind It is reported to the farm controller 10.

Next, details of the wind farm controller 10 will be described.
FIG. 3 is a block diagram illustrating a configuration of a control system in the wind farm controller 10 (wind farm control device) according to some embodiments.
As illustrated in a non-limiting example in FIG. 3, the wind farm controller 10 is a computer, for example, and includes a CPU 11 and a ROM (storage unit for storing data such as various programs and tables executed by the CPU 11. (Read Only Memory) 13, a RAM (Random Access Memory) 12 functioning as a work area as a development area and a calculation area when executing each program, a hard disk drive (HDD) as a mass storage device (not shown), communication A communication interface for connecting to a network and an access unit to which an external storage device is attached may be provided. In some embodiments, the wind farm controller 10 may include a database 17 that stores the optimal control settings obtained in the process of updating the control settings described below in association with the wind condition parameters. For example, the power generation output distribution table 18 or the like may be stored. These are all connected via a bus 14, and the bus 14 is connected to each wind turbine T1-T3 of the wind farm 1 via a signal line 2 (see FIG. 1). Further, the wind farm controller 10 may be connected to, for example, an input unit (not shown) including a keyboard and a mouse, a display unit (not illustrated) including a liquid crystal display device that displays data, and the like.

  In some embodiments, the wind farm controller 10 receives detection signals relating to the wind direction, wind speed, and load from the wind direction sensor 31, the wind speed sensor 32, and the load sensor 33 provided in each of the wind turbines T1 to T3. May be. One or more of the load sensors 33 may be installed in a place where a device load or a wind load acts, such as the spindle bearing 107 or the tower 116. In some embodiments, the wind farm controller 10 is electrically connected to the yaw motor 21, the yaw brake drive actuator 22, the pitch drive actuator 23, and the pitch brake drive actuator 24 via the bus 14 and the signal line 2. Also good.

  In some embodiments, the ROM 13 includes an output calculation program 15 that calculates the total output of the wind farm 1 from the power generation amount of each of the windmills T1 to T3, and output optimization for optimizing the overall output of the wind farm 1. A program 16 (operation control program) may be stored.

FIG. 4 is a schematic diagram illustrating a wind farm control method according to some embodiments.
As illustrated in a non-limiting manner in FIG. 4, the wind farm controller 10 serving as the wind farm control device according to at least one embodiment of the present disclosure includes a wind condition or a wind speed including a wind direction or a wind speed from each of the plurality of wind turbines T. An acquisition unit 50 that acquires at least one of the power generation outputs, and a setting value related to the pitch angle, yaw angle, or power generation output of each windmill T is input to the wind farm model 52 to predict a wind condition or power generation output regarding each windmill T. Based on the difference between the first calculation unit (wind farm model 52) for calculating the value and the wind condition or power generation output acquired by the acquisition unit 50 and the predicted value calculated by the wind farm model 52, the representative of the entire wind farm 1 And an estimation unit 54 for estimating the wind conditions.

According to the above configuration, when the wind farm 1 including the plurality of wind turbines T is operated, the setting values relating to the pitch angle, the yaw angle, or the power generation output of each wind turbine T are input to the wind farm model 52 and are calculated. A predicted wind condition or power generation output value for T is calculated. Based on the difference between the predicted value calculated by the wind farm model 52 and the wind condition (actual value) or the power generation output (actual value) of the wind farm 1 obtained by actual measurement, the representative wind condition of the entire wind farm 1 is obtained. Can be obtained by estimation.
Here, the wind power generation plant such as the wind farm 1 is a power generation plant using renewable energy. For example, the wind conditions such as wind direction, wind speed, temperature, humidity, air density, etc. change every moment. It is generally difficult to clearly identify the target.
In this regard, according to the above-described configuration, the estimation unit 54 performs optimization calculation for representative wind condition estimation based on the difference between the wind direction, wind speed, or power generation output of each wind turbine T acquired once and the predicted value by the wind farm model 52. Thus, it is not necessary to sequentially acquire the wind conditions or power generation output of each windmill T in real time, and optimization calculation can be performed in an offline environment. Therefore, for example, the power generation output or wind condition of each windmill T is acquired one by one on the basis of the actual measurement value to perform model calculation, or the wind condition or power generation output of a specific windmill T is represented as the wind condition or power generation output of the entire wind farm 1 Compared to the conventional method, the representative wind conditions can be obtained with higher accuracy, and therefore the power generation output of the entire wind farm 1 can be managed more optimally and operated.

The difference between the actually measured value and the predicted value is, for example, an evaluation value for optimization using an effective value (root mean square value: RMS) based on the root mean square (Σ1 / N (xi−xi_est) ^ 2). Also good.
Further, the optimization calculation method is not particularly limited. For example, a simultaneous perturbation probability approximation (SPSA), which is one of the conventional optimization methods, or a multi-resolution simultaneous perturbation obtained by developing the same. A probabilistic approximation method (MR-SPSA: Multi-Resolution Simulation Perturbation Stochastic Application) may be used. Since these methods are well known, detailed description thereof is omitted here.

In some embodiments, in the above configuration, the representative wind condition estimated by the estimation unit 54 is input to the wind farm model 52 and includes at least one of the pitch angle, the yaw angle, and the power generation output for each wind turbine T. A second calculation unit (wind farm model 52) for obtaining a value may be further provided.
That is, the wind farm model 52 newly calculates a second calculation value that includes at least one of the pitch angle, the yaw angle, and the power generation output for each wind turbine T based on the representative wind conditions estimated by the estimation unit 54. It can function as a part. If comprised in this way, the optimal value of the setting value regarding the pitch angle, yaw angle, or electric power generation output with respect to each windmill T can be calculated | required by inputting the representative wind condition calculated | required by the estimation part 54 to the wind farm model 52. .

FIG. 5 is a flowchart illustrating processing by the wind farm control device according to at least one embodiment of the present disclosure, and is a diagram illustrating a wind farm operating method according to at least one embodiment of the present disclosure.
As illustrated in a non-limiting manner in FIG. 5, the operating method of the wind farm according to at least one embodiment of the present disclosure is an operating method of the wind farm 1 including a plurality of wind turbines T. Acquisition step (step S10) for acquiring at least one of the wind condition including wind direction or wind speed or power generation output from the wind turbine, and setting values relating to the pitch angle, yaw angle or power generation output of each windmill T to the wind farm model 52 A first calculation step (step S20) for calculating a wind condition or a power generation output predicted value for each wind turbine T, and the wind condition or power generation output acquired in the acquisition step S10 and the predicted value calculated by the wind farm model 52. An estimation step (step S30) for estimating a representative wind condition in the entire wind farm 1 based on the difference.

  According to such a method, as described above, for example, the power generation output or wind condition of each wind turbine T is obtained on a measured value basis one by one to perform model calculation, or the wind condition or power generation output of a specific wind turbine T is Compared to conventional methods such as representing the wind conditions and power generation output of the entire farm 1, the representative wind conditions can be obtained with higher accuracy, so that the power output of the entire wind farm 1 can be managed more optimally. You can drive.

In some embodiments, in the above-described method, the second calculation step (step S40) in which the representative wind conditions estimated in the estimation step S30 are input to the wind farm model 52 and the optimum value of the set value for each wind turbine T is obtained. ) May be provided.
That is, the second calculation for newly obtaining a set value including at least one of the pitch angle, the yaw angle, and the power generation output for each wind turbine T based on the representative wind conditions estimated in the estimation step S30 by the wind farm model 52. Step S40 may be realized.

  According to the above method, by inputting the representative wind conditions obtained in the estimation step S30 to the wind farm model 52, it is possible to obtain the optimum value of the set value relating to the pitch angle, yaw angle or power generation output for each wind turbine T.

  In some embodiments, in the above method, the first calculation step S20 and the difference between the wind condition or power generation output acquired in the acquisition step S10 and the predicted value calculated by the wind farm model 52 are zero. The estimation step S30 may be repeatedly executed (see FIGS. 4 and 5).

  According to the above method, the difference between the wind condition or the power generation output acquired in the acquisition step S10 and the predicted value calculated in the first calculation step S20 becomes zero (that is, the wind condition or the power acquired in the acquisition step S10). The first calculation step S20 and the estimation step S30 are repeatedly executed so that the power generation output matches the predicted value calculated in the first calculation step S20. At that time, the calculation by the wind farm model 52 is made true, and the calculation for making the difference close to zero can be performed by correcting the parameter used in the estimation step S30. Step 30 may include a determination step of determining whether or not the wind condition or power generation output acquired in the acquisition step S10 matches the predicted value calculated in the first calculation step S20. By using such an existing wind farm model 52, a representative wind condition in accordance with the current situation is obtained by such a method, and a more optimal setting value for each wind turbine T constituting the wind farm 1 can be obtained. it can.

  In some embodiments, the above method may include a command step (step S50) for issuing a command to each wind turbine T based on the set value obtained in the second calculation step S40.

  According to the above method, each wind turbine T is operated based on the optimum value of the set value calculated in the second calculation step S40, thereby realizing an operation method that can further optimize the power generation output of the entire wind farm 1. be able to.

In some embodiments, in any of the methods described above, the wind farm model 52 may be a physical model that takes into account the effects of wake.
As the wind farm model 52 in consideration of the influence of such a wake, for example, WAsP, Fuga, etc., which are models (linear simulators) capable of algebraic calculation by approximating all the various wind conditions by a linear equation, are adopted. May be.

  According to the above method, in the first calculation step S20, the wind farm model 52 that takes into account the influence of the wake of the wind turbine T disposed on the windward, that is, the wake, on the power generation output of the wind turbine T disposed on the leeward is used. Since the predicted value of the wind condition or power generation output for each wind turbine T can be calculated, a predicted value closer to the power generation output in the actual wind farm 1 can be obtained.

In some embodiments, in the method described in any one of the above, in the acquisition step S10, the wind direction, the wind speed, and the power generation output of each windmill T may be acquired every predetermined period.
The predetermined period may be, for example, 1 minute or several minutes, 1 or several hours, 1 or several days, or the like.

  According to the above method, the wind conditions such as the wind direction and wind speed of each windmill T and the power generation output are acquired every predetermined period, and the acquired wind conditions and power generation output are acquired by the wind farm 1 within the predetermined period. It is treated as an actual measured value. That is, the wind condition and power generation output obtained from the wind farm 1 at a certain time point are used as the wind condition and power generation output of the wind farm 1 during the predetermined period thereafter, and the wind condition or power generation output prediction value for each wind turbine T is calculated. Therefore, the estimation step S30 for calculating the predicted value by the wind farm model 52 and estimating the representative wind condition of the entire wind farm 1 can be executed off-line.

  And the wind farm 1 provided with the structure as described in any one of the above embodiments can provide the wind farm 1 that can further optimize the overall power generation output.

  The operation method of the wind farm 1 realized in some embodiments described above is realized by output optimization control (output optimization processing) performed by the wind farm controller 10 executing the output optimization program 16. .

  In some embodiments, the wind farm controller 10 of the wind farm 1 including a plurality of wind turbines T reads the output optimization program 16 stored in the ROM 13, expands it in the RAM 12, and executes it, for example, In the conventional method, the power generation output or the wind condition of each wind turbine T is acquired one by one on the basis of the actual measurement value, and the model calculation is performed, or the wind condition and the power generation output of the entire wind farm 1 of the specific wind turbine T are represented. Compared to this, the representative wind conditions can be obtained with higher accuracy.

Note that the wind farm operating methods according to some embodiments described above may include a plurality of information processing devices, and these information processing devices may perform each process in a distributed manner.
In addition, by recording a program for executing each process of some of the above-described embodiments on a computer-readable recording medium, causing the computer system to read and execute the program recorded on the recording medium The various processes described above may be performed.

  Here, the “computer system” may include hardware such as an OS (Operating System) and peripheral devices. Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW (World Wide Web) system is used. The “computer-readable recording medium” refers to a portable disk such as a flexible disk, a magneto-optical disk, a ROM (Read-only Memory), a writable nonvolatile memory such as a flash memory, a CD (Compact Disc) -ROM, or the like. A storage device such as a medium or a hard disk built in a computer system.

  Further, the “computer-readable recording medium” refers to a volatile memory (for example, DRAM (Dynamic) in a computer system serving as a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. Random Access Memory)) that holds a program for a certain period of time is also included. The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

  According to at least one embodiment of the present disclosure described above, the optimization accuracy of the entire wind farm 1 can be improved.

  The present invention is not limited to the above-described embodiments, and includes forms obtained by changing the above-described embodiments and forms obtained by combining these forms.

1 Wind Farm 2 Signal Line 10 Wind Farm Controller (Wind Farm Controller)
11 CPU
12 RAM
13 ROM
14 Bus 15 Output calculation program 16 Output optimization program (operation control program)
17 Database 18 Power generation output distribution table (distribution table)
21 Yaw motor 22 Yaw brake drive actuator 23 Pitch drive actuator 24 Pitch brake drive actuator 31 Wind direction sensor 32 Wind speed sensor 33 Load sensor 50 Acquisition unit 52 Wind farm model (first acquisition unit / second acquisition unit)
54 Estimator 102 Blade 104 Hub 105 Rotor (Rotary Blade)
106 Main shaft 107 Main shaft bearing 108 Drive train 109 Output shaft 110 Generator 112 Nacelle 114 Nacelle base plate 116 Tower 118 Yaw turning mechanism 119 Yaw turning mechanism T, T1 to Tn Windmill

Claims (8)

A wind farm operating method including a plurality of windmills,
An acquisition step of acquiring at least one of a wind condition or a power generation output including a wind direction or a wind speed from each of the plurality of wind turbines;
A first calculation step of inputting a set value relating to a pitch angle, a yaw angle or a power generation output of each of the windmills to a wind farm model to calculate a predicted value of a wind condition or a power generation output relating to each of the windmills;
An estimation step for estimating a representative wind condition in the entire wind farm based on the difference between the wind condition obtained in the obtaining step or the power generation output and the predicted value calculated by the wind farm model;
Wind farm operation method equipped with. 2. The wind farm operation according to claim 1, further comprising a second calculation step of inputting the representative wind condition estimated in the estimation step to the wind farm model to obtain an optimum value of the set value for each wind turbine. Method. The wind farm operating method according to claim 2, further comprising a command step of issuing a command to each of the wind turbines based on the set value obtained in the second calculation step. The wind farm operating method according to any one of claims 1 to 3, wherein the wind farm model is a physical model in consideration of the influence of a wake. The wind farm operating method according to any one of claims 1 to 4, wherein in the obtaining step, the wind direction, wind speed, and power generation output of each windmill are obtained at predetermined intervals. A wind farm control device including a plurality of wind turbines,
An acquisition unit for acquiring at least one of a wind condition or a power generation output including a wind direction or a wind speed from each of the plurality of wind turbines;
A first calculation unit that inputs a set value related to the pitch angle, yaw angle, or power generation output of each windmill to a wind farm model, and calculates a predicted value of the wind condition or power generation output related to each windmill;
An estimation unit that estimates a representative wind condition in the entire wind farm based on a difference between the wind condition acquired by the acquisition unit or the power generation output and the predicted value calculated by the first calculation unit;
Wind farm control device.   And a second calculation unit that inputs the representative wind condition estimated by the estimation unit into a wind farm model and obtains a set value including at least one of a pitch angle, a yaw angle, and a power generation output for each of the wind turbines. Item 7. A wind farm control device according to Item 6. Multiple windmills,
The control device according to claim 6 or 7 configured to perform operation control of the plurality of wind turbines,
Wind farm with

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