# US 2024/0200534 A1 · Wind farm layout and yaw control method and electronic device

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- Number: US 2024/0200534 A1
- Document ID: US20240200534A1
- Status: Published application
- Kind: A1
- Application number: 18/358,055
- Filed: 2023-07-25
- Published: 2024-06-20
- Earliest claimed: 2022-12-15
- Assignees: Tianjin University
- Applicants: Tianjin University
- Inventors: Xiandong XU; Guohao LI; Yuze ZHAO; Changpeng SONG; Lidong ZHANG
- Web page: https://patentgrep.com/patent/US20240200534A1

## CPC

- F03D 7/045: {with model-based controls}
- F03D 7/048: {controlling wind farms}
- F03D 7/0204: {for orientation in relation to wind direction}
- F03D 7/049: {in relation to the wake effect}
- G06F 30/13: Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
- G06F 30/28: using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
- F05B 2260/84: Modelling or simulation
- F05B 2270/204: taking into account the wake effect
- F05B 2270/309: Rate of change of parameters
- F05B 2270/321: Wind directions
- F05B 2270/329: Azimuth or yaw angle
- G06F 2111/10: Numerical modelling
- G06F 2113/06: Wind turbines or wind farms
- G06F 2119/06: Power analysis or power optimisation
- G06F 2119/14: Force analysis or force optimisation, e.g. static or dynamic forces
- Y02E 10/72: Wind turbines with rotation axis in wind direction
- F03D: WIND MOTORS
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- F05B: INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION

## Abstract

The present disclosure relates to a wind farm layout and yaw control method, and an electronic device. The wind farm layout and yaw control method comprises the following steps: acquiring wind farm data, importing the wind farm data into a WFSim model for simulation, obtaining original power data of the wind farm, counting and recording modifiable wind farm layout and yaw parameters, adjusting variable parameters to be changed, using the WFSim model for simulation to obtain an optimal parameter range of different variables and combining the optimal parameters to obtain an optimal working condition, and using the WFSim model for simulation to obtain optimal power data. The wind farm layout and yaw control method according to the present disclosure is based on optimizing the power output of the wind farm, so that it is very convenient to acquired information. Meanwhile, a WFSim two-dimensional fidelity model is used to simulate and solve the wind farm, so that the simulation time can be reduced while ensuring data accuracy.

## Claims

### Claim 1

A wind farm layout and yaw control method, comprising the following steps:
acquiring wind farm data;
importing the wind farm data into a WFSim model for simulation to obtain original power data of the wind farm;
counting and recording variables with modifiable parameters for wind farm layout and yaw;
adjusting the modifiable parameters of the variables, and using the WFSim model for simulation to obtain an influence trend of change in value of the variables on wind farm power, and obtain optimal parameter ranges for the variables respectively;
combining optimal parameters of the variables to obtain an optimal working condition, and using the WFSim model for simulation again to obtain an optimal power data;
determining whether the optimal working condition is applicable to the wind farm.

### Claim 2 (depends on 1)

The wind farm layout and yaw control method according to claim 1, wherein the wind farm data comprises wind turbine parameters, wind turbine position information, wind resource information, atmospheric conditions and wind turbine yaw setting information.

### Claim 3 (depends on 2)

The wind farm layout and yaw control method according to claim 2, wherein the wind turbine parameters comprise an impeller diameter D, a hub height H and a thrust coefficient curve.

### Claim 4 (depends on 2)

The wind farm layout and yaw control method according to claim 2, wherein the wind turbine yaw setting information comprises a yaw rate, a yaw angle and a yaw wind turbine position.

### Claim 5 (depends on 1)

The wind farm layout and yaw control method according to claim 1, wherein the variable parameters to be changed are adjusted, orthogonal tests are conducted according to the parameters, and the WFSim model is used for simulation.

### Claim 6 (depends on 1)

The wind farm layout and yaw control method according to claim 1, wherein the WFSim model is based on a modified two-dimensional Navier-Stokes equation and a Prandtl mixing-length model,
the modified two-dimensional Navier-Stokes equation is:
∂
u
∂
t
+
(
u
·
∇
H
)
⁢
u
+
∇
H
·
τ
H
+
∇
H
p
-
f
=
0
∇
H
·
u
=
-
∂
v
∂
y
the Prandtl mixing-length model is:
τ
H
=
-
1
2
⁢
v
t
(
∇
H
u
+
(
∇
H
u
)
T
)
v
t
=
l
u
(
x
,
y
)
2
❘
∂
u
∂
y
u=(u v)T indicates an incoming wind speed of the wind turbine, ∂ indicates a partial derivative, ∂u/∂t indicates the partial derivative of the wind speed with respect to time as a whole, u and v indicate the wind speed in x and y directions, respectively, ∂v/∂y indicates the partial derivative of v with respect to y, t indicates time, T is a matrix transpose symbol; ∇H(∂/∂x, ∂/∂y)T; p indicates a pressure field, f indicates the influence of the wind turbine on flow;
∇HU indicates a two-dimensional rate of a strain tensor, vt indicates an eddy viscosity, and lu(x,y) indicates a mixing length.

### Claim 7 (depends on 6)

The wind farm layout and yaw control method according to claim 6, wherein the mixing length is parameterized as:
lu(x,y)=G(xn′,yn′)*lun(xn′,yn′)
lun(xn′,yn′)=(xn′−d′)ls,
n indicates the nth wind turbine, G(x,y) indicates a spherical box filter with a radius of 3, * is a two-dimensional convolution operator, xn′ and yn′ are defined as the average wind direction which are constrained by xn′={xn′:d′≤xn′≤d} and yn′={yn′:|yn′|≤D}, |φ|≤45 is set, d is constrained by cos (φ)d≤|xq−xn, where d and d′ are all artificially set variables in the model, D indicates the diameter of a rotor of the wind turbine, xn is the x coordinate of the wind turbine, xq is the x coordinate of the downstream wind turbine, lun(xn′,yn′) is regarded as the local mixing length of the wind turbine n, and φ is the included angle between the average wind direction and the x axis.

### Claim 8 (depends on 1)

The wind farm layout and yaw control method according to claim 1, wherein the wind turbine is modeled by an actuator disk model and is driven by yaw and axial induction.

### Claim 9 (depends on 1)

The wind farm layout and yaw control method according to claim 1, wherein in the WFSim model, the equation for power calculating is:
P
=
∑
n
=
1
N
1
2
⁢
ρAC
P
n
[
u
n
⁢
cos
⁡
(
γ
n
)
]
3
A indicates an area of the rotor, ρ indicates an air density, CPn indicates a power coefficient, and N indicates the total number of the wind turbines.

### Claim 10 (depends on 1)

An electronic device, comprising at least one processor and a memory for storing processor-executable instructions, wherein the instructions, when executed by the processor, implement the wind farm layout and yaw control method according to claim 1.