CN114372330A - Wind turbine generator set power characteristic control method - Google Patents
Wind turbine generator set power characteristic control method Download PDFInfo
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- CN114372330A CN114372330A CN202210039730.7A CN202210039730A CN114372330A CN 114372330 A CN114372330 A CN 114372330A CN 202210039730 A CN202210039730 A CN 202210039730A CN 114372330 A CN114372330 A CN 114372330A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000011217 control strategy Methods 0.000 claims abstract description 11
- 238000001228 spectrum Methods 0.000 claims abstract description 7
- 238000010248 power generation Methods 0.000 claims abstract description 5
- 230000008569 process Effects 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 6
- 238000007493 shaping process Methods 0.000 claims description 4
- 230000033228 biological regulation Effects 0.000 claims description 3
- 238000013016 damping Methods 0.000 claims description 3
- 230000006698 induction Effects 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/06—Wind turbines or wind farms
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
A wind turbine generator power characteristic control method. At present, fans installed and operated in each wind field are provided, parameters of a control strategy of a master control system are calculated according to standard conditions, and the generated energy cannot reach the expected level. The method comprises the following steps: establishing a dynamic model; establishing a wind speed frequency spectrum of a glancing wind wheel; establishing linearization models of different structures to obtain linearization characteristic values; sector control; the method is characterized in that the method can be divided into a plurality of sectors according to the direction of incoming wind, different turbulent wind is formed in each sector due to the influences of terrain, landform, environment and the like, the incoming wind in the E-NINE sector is large turbulent wind, strong wake flow can be generated in the SSW-S sector, the power generation and vibration of a fan behind the SSW-S sector have large influence, and the fan can reduce the generation of the wake flow through a special control strategy when running in the large turbulent sector. The method is used for controlling the power characteristic of the wind turbine generator.
Description
Technical Field
The invention relates to a wind turbine generator power characteristic control method.
Background
The existing unit technology is insufficient in wind characteristic research, and a wind turbine generator is designed by taking quasi-static steady flow as a main wind model. However, wind energy is essentially turbulent air flow, and the wind direction, wind speed, vorticity, flow pattern and the like of the wind energy are constantly and randomly and rapidly changed, so that the energy of the wind energy is changed constantly, and the characteristics of the wind energy are required to be studied intensively.
At present, the parameters of a control strategy of a main control system of each wind field are calculated according to standard conditions, standard air density, environment temperature, altitude and the like are used in the calculation, specific working conditions of the wind field are ignored, a power curve in the final wind field operation process deviates from a standard curve, and the generated energy cannot reach the expected level. According to the actual geographic position of each fan, the surrounding environment factors and other parameters, the control strategy of each fan needs to be dynamically adjusted to obtain the optimal power output and the optimal unit load.
Disclosure of Invention
The invention aims to provide a wind turbine generator power characteristic control method.
The above purpose is realized by the following technical scheme:
a wind turbine generator power characteristic control method comprises the following steps:
(1) establishing a dynamic model;
(2) establishing a wind speed frequency spectrum of a glancing wind wheel;
(3) establishing linearization models of different structures to obtain linearization characteristic values;
(4) sector control;
the method is characterized in that the method can be divided into a plurality of sectors according to the direction of incoming wind, different turbulent wind is formed in each sector due to the influences of terrain, landform, environment and the like, the incoming wind in the E-NINE sector is large turbulent wind, strong wake flow can be generated in the SSW-S sector, the power generation and vibration of a fan behind the SSW-S sector have large influence, and the fan can reduce the generation of the wake flow through a special control strategy when running in the large turbulent sector.
The wind turbine generator power characteristic control method comprises the following specific processes in the step (1): the method is characterized in that dynamic random is carried out by combining special meteorological conditions of a specific place, and the dynamic random is formed by superposing 2 parts, namely V (t) = Vs (t) + Vt (t);
where Vs (t) is the low frequency portion; vt (t) is a turbulence part, a model of a low-frequency part is represented by Weibull distribution, a model of a high-frequency part is established by a rapid wind speed change part, turbulence is accurately described by utilizing a frequency spectrum in a Karman model, and then Von Karman model shaping filtering is applied to form a first-order filtering turbulence model.
The wind turbine generator power characteristic control method comprises the following specific processes in the step (2): rotating sampling filtering is adopted, wind torque change and fixed point wind speed turbulence influence are fully considered in model building, and power of a middle frequency band of wind fluctuation characteristics on the blades is transmitted to a high frequency band, so that integral multiple rotating speed is obtained; the refined model also comprises an induction lag subsystem generated when the wind speed or the pitch angle suddenly changes, so that the overall control difficulty of wind fluctuation on the WTGS is effectively reduced, the power control is more accurate, and the purpose of improving the generated energy is achieved.
The wind turbine generator power characteristic control method comprises the following specific processes in the step (3): the overall dynamic characteristic of the WTGS depends on the relative positions of characteristic curves of two machines of a wind wheel and a generator, and the slope of a load characteristic curve is controlled to adjust the response time of the WTGS; the rotating speed of the generator is further accurately controlled, energy is directly controlled and captured through variable speed regulation, and decoupling between the wind turbine generator and a power grid is achieved; accurately determining the rigidity coefficient and the damping coefficient of an elastic system of a flexible transmission chain of the wind turbine generator to obtain a three-order linear model; and (3) building linearization models of different structures by integrating the WTGS partial models to obtain linearization characteristic values, and adjusting parameters to enable the dynamic characteristics near the WTGS working point to tend to be linearized.
In the wind turbine generator power characteristic control method, the WTGS partial model in the step (3) includes: the system comprises an aerodynamic part, a transmission chain part and a generator frequency converter part.
Has the advantages that:
1. the invention refines the model control strategy, is embedded into the whole fan control program as an independently operated part, performs safety processing at the interface, and has smoother switching logic, so that the good operation of the new control strategy can be realized without changing the original fan control system in a large scale, thereby greatly reducing the fan modification cost and ensuring the safety of the fan operation.
2. The invention controls the operation of shaping number by using per unit value when performing numerical calculation, thereby effectively improving the operation speed of PLC. And the control program and the safety logic program are respectively operated in the two PLCs, so that the safety operation coefficient of the fan is further improved.
3. The refined model control strategy of the invention overcomes the defects of the traditional table look-up control algorithm: the optimal tip speed ratio area range is small, and the wind energy capture is less; the rotating speed-torque parameters are fixed, and the influence of the characteristic difference of the unit and the environmental temperature is not considered; the blade angle is fixed at low wind speed, and the power generation capability is poor due to the fact that the blade angle is fixed and the optimization identification function is not available. Tracking an optimal Cp curve in a larger range, finding an optimal paddle angle suitable for the operation of different blade sets, automatically and dynamically switching and adjusting parameters according to environmental conditions, changing static single parameter control into dynamic multi-parameter coordination control, realizing the maximization of wind energy utilization efficiency, deeply and carefully researching the turbulence characteristic of wind, the dynamic action and response characteristic of wind and wind wheel blades, the dynamic response characteristic of a fan transmission system, the dynamic response characteristic of a power conversion and frequency conversion system, the dynamic characteristic of a power grid and a coupling and decoupling method among the characteristics, optimizing and improving the existing wind power control strategy, and therefore, the wind power generator always outputs the maximum power on the premise of ensuring the safety and reliability of the wind power generator.
The specific implementation mode is as follows:
example 1:
a wind turbine generator power characteristic control method comprises the following steps:
(1) establishing a dynamic model;
(2) establishing a wind speed frequency spectrum of a glancing wind wheel;
(3) establishing linearization models of different structures to obtain linearization characteristic values;
(4) sector control;
the method is characterized in that the method can be divided into a plurality of sectors according to the direction of incoming wind, different turbulent wind is formed in each sector due to the influences of terrain, landform, environment and the like, the incoming wind in the E-NINE sector is large turbulent wind, strong wake flow can be generated in the SSW-S sector, the power generation and vibration of a fan behind the SSW-S sector have large influence, and the fan can reduce the generation of the wake flow through a special control strategy when running in the large turbulent sector.
Example 2:
according to the method for controlling the power characteristics of the wind turbine generator set in the embodiment 1, the specific process of the step (1) is as follows: the method is characterized in that dynamic random is carried out by combining special meteorological conditions of a specific place, and the dynamic random is formed by superposing 2 parts, namely V (t) = Vs (t) + Vt (t);
where Vs (t) is the low frequency portion; vt (t) is a turbulence part, a model of a low-frequency part is represented by Weibull distribution, a model of a high-frequency part is established by a rapid wind speed change part, turbulence is accurately described by utilizing a frequency spectrum in a Karman model, and then Von Karman model shaping filtering is applied to form a first-order filtering turbulence model.
Example 3:
according to the wind turbine generator power characteristic control method described in embodiment 1 or 2, the specific process of step (2) is: rotating sampling filtering is adopted, wind torque change and fixed point wind speed turbulence influence are fully considered in model building, and power of a middle frequency band of wind fluctuation characteristics on the blades is transmitted to a high frequency band, so that integral multiple rotating speed is obtained; the refined model also comprises an induction lag subsystem generated when the wind speed or the pitch angle suddenly changes, so that the overall control difficulty of wind fluctuation on the WTGS is effectively reduced, the power control is more accurate, and the purpose of improving the generated energy is achieved.
Example 4:
according to the wind turbine generator power characteristic control method described in embodiment 1, 2, or 3, the specific process of step (3) is: the overall dynamic characteristic of the WTGS depends on the relative positions of characteristic curves of two machines of a wind wheel and a generator, and the slope of a load characteristic curve is controlled to adjust the response time of the WTGS; the rotating speed of the generator is further accurately controlled, energy is directly controlled and captured through variable speed regulation, and decoupling between the wind turbine generator and a power grid is achieved; accurately determining the rigidity coefficient and the damping coefficient of an elastic system of a flexible transmission chain of the wind turbine generator to obtain a three-order linear model; and (3) building linearization models of different structures by integrating the WTGS partial models to obtain linearization characteristic values, and adjusting parameters to enable the dynamic characteristics near the WTGS working point to tend to be linearized.
Example 5:
according to the wind turbine generator power characteristic control method described in embodiment 1, 2, 3, or 4, the WTGS partial model in the step (3) includes: the system comprises an aerodynamic part, a transmission chain part and a generator frequency converter part.
Claims (5)
1. A wind turbine generator power characteristic control method is characterized by comprising the following steps: the method comprises the following steps:
(1) establishing a dynamic model;
(2) establishing a wind speed frequency spectrum of a glancing wind wheel;
(3) establishing linearization models of different structures to obtain linearization characteristic values;
(4) sector control;
the method is characterized in that the method can be divided into a plurality of sectors according to the direction of incoming wind, different turbulent wind is formed in each sector due to the influences of terrain, landform, environment and the like, the incoming wind in the E-NINE sector is large turbulent wind, strong wake flow can be generated in the SSW-S sector, the power generation and vibration of a fan behind the SSW-S sector have large influence, and the fan can reduce the generation of the wake flow through a special control strategy when running in the large turbulent sector.
2. The wind turbine generator power characteristic control method according to claim 1, characterized by comprising: the specific process of the step (1) is as follows: the method is characterized in that dynamic random is carried out by combining special meteorological conditions of a specific place, and the dynamic random is formed by superposing 2 parts, namely V (t) = Vs (t) + Vt (t);
where Vs (t) is the low frequency portion; vt (t) is a turbulence part, a model of a low-frequency part is represented by Weibull distribution, a model of a high-frequency part is established by a rapid wind speed change part, turbulence is accurately described by utilizing a frequency spectrum in a Karman model, and then Von Karman model shaping filtering is applied to form a first-order filtering turbulence model.
3. The wind turbine generator power characteristic control method according to claim 1, characterized by comprising: the specific process of the step (2) is as follows: rotating sampling filtering is adopted, wind torque change and fixed point wind speed turbulence influence are fully considered in model building, and power of a middle frequency band of wind fluctuation characteristics on the blades is transmitted to a high frequency band, so that integral multiple rotating speed is obtained; the refined model also comprises an induction lag subsystem generated when the wind speed or the pitch angle suddenly changes, so that the overall control difficulty of wind fluctuation on the WTGS is effectively reduced, the power control is more accurate, and the purpose of improving the generated energy is achieved.
4. The wind turbine generator power characteristic control method according to claim 1, characterized by comprising: the specific process of the step (3) is as follows: the overall dynamic characteristic of the WTGS depends on the relative positions of characteristic curves of two machines of a wind wheel and a generator, and the slope of a load characteristic curve is controlled to adjust the response time of the WTGS; the rotating speed of the generator is further accurately controlled, energy is directly controlled and captured through variable speed regulation, and decoupling between the wind turbine generator and a power grid is achieved; accurately determining the rigidity coefficient and the damping coefficient of an elastic system of a flexible transmission chain of the wind turbine generator to obtain a three-order linear model; and (3) building linearization models of different structures by integrating the WTGS partial models to obtain linearization characteristic values, and adjusting parameters to enable the dynamic characteristics near the WTGS working point to tend to be linearized.
5. The wind turbine generator power characteristic control method according to claim 4, wherein: the partial WTGS model in the step (3) comprises the following steps: the system comprises an aerodynamic part, a transmission chain part and a generator frequency converter part.
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| CN202210039730.7A CN114372330A (en) | 2022-01-14 | 2022-01-14 | Wind turbine generator set power characteristic control method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116292098A (en) * | 2023-05-22 | 2023-06-23 | 西安鑫风动力科技有限公司 | Energy collecting method for capturing wind energy by unit blades |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116292098A (en) * | 2023-05-22 | 2023-06-23 | 西安鑫风动力科技有限公司 | Energy collecting method for capturing wind energy by unit blades |
| CN116292098B (en) * | 2023-05-22 | 2023-09-29 | 华能新疆青河风力发电有限公司 | Energy collecting method for capturing wind energy by unit blades |
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