CN112483312A - Offshore wind farm safety control method based on redundant grouping - Google Patents
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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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- 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
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/32—Wind speeds
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- 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
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/321—Wind directions
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- 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
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/334—Vibration measurements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- 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
- F05B2270/00—Control
- F05B2270/40—Type of control system
- F05B2270/404—Type of control system active, predictive, or anticipative
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- 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
- F05B2270/00—Control
- F05B2270/70—Type of control algorithm
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The invention discloses an offshore wind power plant safety control method based on redundant grouping, which mainly relates to the technical field of offshore wind power generation control; the method comprises the following steps: s1, mounting a central processing unit, an anemorumbometer, a tower barrel, blades, a yaw system, a pitch system, a vibration reduction system and a vibration sensor on each wind turbine generator in the wind power plant; s2, carrying out redundancy grouping on the wind turbines in the wind power plant; s3, a wind speed and direction indicator on the wind turbine generator is used for collecting incoming wind information and transmitting data to the central processing unit, and the central processing unit makes judgment according to the data; meanwhile, the wind turbine generator in the front row carries out safety prediction control on the wind turbine generator in the rear row according to the grouping condition of the wind turbine generators; s4, a vibration sensor on the wind turbine is used for collecting the influence of sea waves on the wind turbine and transmitting data to a central processing unit, and the central processing unit makes judgment according to the data; the invention effectively improves the overall safety of the offshore wind farm.
Description
Technical Field
The invention relates to the technical field of offshore wind power generation control, in particular to an offshore wind power plant safety control method based on redundancy grouping.
Background
In the present day, where environmental protection is increasingly important, clean energy is increasingly important. Meanwhile, in order to meet the challenge of the future energy crisis, wind energy, an ancient energy source, is favored in many countries and regions. Wind power generation is a main source of clean energy at present, has wide development prospect, and has short construction period, flexible installation scale and convenient fund raising compared with other power generation modes; the operation is simple, and the building can be built under the terrain conditions of hills, seasides, river banks, deserts and the like.
With the increasing single-machine capacity of the grid-connected wind generating set in China and the planning, construction and operation of large wind power plants, the application prospect of wind power generation is wider and wider. Meanwhile, the requirements on the safety performance of the wind generating set are higher and higher. Especially in some places with severe environment, such as offshore wind farms, the wind turbine will face a severe operating environment. Therefore, how to improve and guarantee the operation reliability and safety of the wind generating set has become the focus of attention in the engineering and academic circles at home and abroad.
The offshore wind turbine generator system is in a complex and severe environment and bears various random loads which change along with time and space, so that the mechanical members and the integral resistance of the offshore wind turbine generator system are attenuated, and the service safety and the durability of the structure of the offshore wind turbine generator system are greatly influenced. The control difficulty is increased due to the severe environment and the instability of wind, the control mode of the existing wind power plant is mostly single-machine control, the influence of the front exhaust motor group on the rear row is not considered, and the overall safety of the offshore wind power plant needs to be improved.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a safety control method of an offshore wind farm based on redundancy grouping.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a safety control method for an offshore wind farm based on redundant grouping comprises the following steps:
s1, mounting a central processing unit, an anemorumbometer, a tower barrel, blades, a yaw system, a pitch system, a vibration reduction system and a vibration sensor on each wind turbine generator in the wind power plant;
s2, carrying out redundancy grouping on the wind turbines in the wind power plant;
s3, a anemorumbometer on the wind turbine generator is used for collecting incoming wind information and transmitting data to a central processing unit, and the central processing unit makes judgment according to the data and controls the yaw system to work; meanwhile, the wind turbine generator in the front row carries out safety prediction control on the wind turbine generator in the rear row according to the grouping condition of the wind turbine generators;
s4, a vibration sensor on the wind turbine is used for collecting the influence of sea waves on the wind turbine and transmitting data to a central processing unit, the central processing unit makes judgment according to the data, and when the vibration is abnormal, the vibration reduction system and the variable pitch system act to reduce the vibration influence; meanwhile, the wind turbine generator in the front row carries out safety prediction control on the wind turbine generator in the rear row according to the grouping condition of the wind turbine generators.
Preferably, the step S2 specifically includes:
when a rear exhaust motor set is positioned in the area, the wind turbine generator set is an internal fan of the front exhaust motor set and receives safety prediction control information sent by the front exhaust motor set;
if a certain rear exhaust motor group is simultaneously positioned in different front exhaust motor groups, safety prediction control information sent by different front exhaust motor groups can be received, and a central processing unit of the rear exhaust motor group can fuse all the received information and finally send a control instruction to the wind turbine group.
Preferably, when the front exhaust motor group performs power control in safety prediction control on the rear exhaust motor group, the power control is performed through a formula
Calculating the input wind speed of each wind turbine, and adjusting the power generation power of the wind turbines before taking the input wind speed as an input quantity;
in the formula: y isl,wAnd al,wRespectively representing the yaw angle and the induction factor of the Wth wind direction unit which have influence on the input wind speed of the unit l;
Yl＝{yl,1,yl,2,...,yl,mrepresenting the set of yaw angles of all the m upper wind direction units which have influence on the input wind speed of the unit l;
Al＝{al,1,al,2,...,al,mand represents the set of induction factors of all the m upper wind direction units having influence on the input wind speed of the unit l.
Preferably, the step S3 specifically includes the steps of:
s31, after the 1 st exhaust motor group receives wind, the anemorumbometer arranged on the engine room collects the wind information, and sends the data to the central processing unit;
s32, when the incoming wind speed exceeds the cut-out speed of the wind turbine generator, the central processing unit controls the yaw system to execute 90-degree side wind yaw and stop the wind turbine generator, and simultaneously, the safety prediction control information is sent to all rear exhaust wind turbine generators;
s33, after the central processing units of all rear exhaust motor sets receive the control information, controlling a yaw system to execute 90-degree crosswind yaw and stop the machine;
s34, when the incoming wind speed is between the cut-in wind speed and the cut-out wind speed of the wind turbine generator but the wind speed/wind direction change frequency is high, the central processing unit calculates the wake flow influence area, carries out redundancy grouping on the wake flow influence area and sends safety prediction control information to the rear exhaust wind turbine generator;
s35, after the central processing unit of the rear exhaust motor unit receives the safety prediction control information, sending an instruction to the wind turbine unit for yaw control and power control;
s36, after the (n-1) th exhaust motor group in the rows 2 and 3 … receives wind, repeating the steps S34-S35, and carrying out safety prediction control on the rear exhaust motor group.
Preferably, the step S4 specifically includes the steps of:
s41, when the 1 st exhaust motor group is affected by sea waves, vibration sensors arranged at the roots of the tower drum and the blades collect vibration signals, and the signals are transmitted to a central processor of the 1 st exhaust motor group;
s42, after the central processing unit receives the data of the vibration signal, the data are processed, the self-vibration influence and the data fusion are removed, and then the calculation is carried out by using a JDL model;
s43, when the 1 st exhaust motor group vibrates abnormally, the central processor sends a control instruction, the influence of vibration is weakened by controlling a vibration damping system and a mode of fine tuning a pitch angle, and meanwhile, the 1 st exhaust motor group sends safety prediction control information to the rear exhaust motor group according to the redundancy grouping condition;
s44, carrying out safety prediction control on the rear exhaust motor set according to the step S43 by the 2 nd row, the 3 rd row … (n-1) th exhaust motor set.
Preferably, when the sea wave is too violent, the vibration damping system and the variable pitch system act, the 1 st air exhaust motor group still vibrates abnormally, the 1 st air exhaust motor group is stopped forcibly at the moment, meanwhile, a central processing unit of the 1 st air exhaust motor group sends a safety prediction control command for stopping to the rear air exhaust motor group, and the central processing unit of the rear air exhaust motor group stops controlling after receiving data.
Compared with the prior art, the invention has the beneficial effects that:
1. the wind signal and the vibration signal are important indexes for monitoring the running state of the wind turbine generator, and the running state of the wind turbine generator is obtained by monitoring the wind signal and the vibration signal of the wind turbine generator, so that a corresponding control scheme is made to ensure the safe running of the wind turbine generator;
2. according to the invention, through redundancy grouping, the influence of the front exhaust motor group on the rear exhaust motor group is calculated within the period from the wind of the front exhaust fan to the wind of the rear exhaust fan, and the rear exhaust fan receives the information and acts in advance to respond, so that the overall safety of the offshore wind farm is effectively improved.
Drawings
FIG. 1 is a control schematic block diagram of the present invention;
FIG. 2 is a wake impact range diagram for a wind turbine;
FIG. 3 is a schematic diagram of a redundant grouping of wind farms.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and these equivalents also fall within the scope of the present application.
Example (b): as shown in the attached figures 1-3, the invention relates to a safety control method for an offshore wind farm based on redundant grouping, which comprises the following steps:
s1, installing a central processing unit, an anemorumbometer, a tower, blades, a yaw system, a pitch system, a vibration reduction system and a vibration sensor on each wind turbine in the wind power plant.
S2, carrying out redundancy grouping on the wind turbines in the wind power plant;
the redundancy grouping method specifically comprises the following steps:
the wake effect range of each wind turbine is shown in fig. 2, wherein,
when a rear exhaust motor set is in the wake flow range, the wind turbine set is an internal fan of the front exhaust motor set and receives safety prediction control information sent by the front exhaust motor set; if a certain rear exhaust motor group is simultaneously positioned in different front exhaust motor groups, safety prediction control information sent by different front exhaust motor groups can be received, and a central processing unit of the rear exhaust motor group can fuse all the received information and finally send a control instruction to the wind turbine group;
when the rear exhaust wind generator set is in the wake flow range, the central controller of the front exhaust wind generator set sends safety prediction control information to the rear exhaust wind generator set, and the central processor of the front exhaust wind generator set performs information fusion processing after receiving all the safety prediction control information to make final control action;
as shown in fig. 3, a central processing unit of WT4 receives safety prediction control information sent by a central processing unit of WT1, WT5 receives safety prediction control information sent by WT1 and WT2, WT6 receives safety prediction control information sent by WT2 and WT3, WT7 receives safety prediction control information sent by WT1, WT4 and WT5, WT8 receives safety prediction control information sent by WT1, WT2, WT5 and WT6, WT9 receives safety prediction control information sent by WT2, WT3 and WT6, and wind power generation units receiving the safety prediction control information respectively perform fusion processing on the received information to obtain final control information.
Preferably, when the front exhaust motor group performs power control in safety prediction control on the rear exhaust motor group, the power control is performed through a formula
Calculating the input wind speed of each wind turbine, and adjusting the power generation power of the wind turbines before taking the input wind speed as an input quantity;
in the formula: y isl,wAnd al,wRespectively representing the yaw angle and the induction factor of the Wth wind direction unit which have influence on the input wind speed of the unit l;
Yl＝{yl,1,yl,2,...,yl,mrepresenting the set of yaw angles of all the m upper wind direction units which have influence on the input wind speed of the unit l;
Al＝{al,1,al,2,...,al,mand represents the set of induction factors of all the m upper wind direction units having influence on the input wind speed of the unit l.
S3, collecting incoming wind information by a wind speed and direction meter arranged on the front exhaust wind turbine unit under the condition of strong wind or unstable wind speed/direction, and transmitting the data to a central processing unit, wherein the central processing unit makes judgment according to the data and controls the yaw system to work; meanwhile, the wind turbine generator set in the front row carries out safety prediction control on the rear wind turbine generator set according to the wind turbine generator set grouping condition in the wind power plant.
The specific process is as follows:
s31, after the 1 st exhaust motor group receives wind, the anemorumbometer arranged on the engine room collects the wind information, and sends the data to the central processing unit;
s32, when the incoming wind speed exceeds the cut-out speed of the wind turbine generator, the central processing unit controls the yaw system to execute 90-degree side wind yaw and stop the wind turbine generator, and simultaneously, the safety prediction control information is sent to all rear exhaust wind turbine generators;
s33, after the central processing units of all rear exhaust motor sets receive the control information, controlling a yaw system to execute 90-degree crosswind yaw and stop the machine;
and S34, when the incoming wind speed is between the cut-in wind speed and the cut-out wind speed of the wind turbine generator but the wind speed/wind direction change frequency is high, the central processing unit calculates the wake flow influence area (as shown in figure 2) of the wind turbine generator, and sends safety prediction control information to the rear exhaust generator set by taking the wake flow influence area as a grouping basis (redundancy grouping).
S35, after the central processing unit of the rear exhaust motor unit receives the safety prediction control information, sending an instruction to the wind turbine unit for yaw control and power control;
s36, after the (n-1) th exhaust motor group in the rows 2 and 3 … receives wind, repeating the steps S34-S35, and carrying out safety prediction control on the rear exhaust motor group.
S4, a vibration sensor on the wind turbine is used for collecting the influence of sea waves on the wind turbine and transmitting data to a central processing unit, the central processing unit makes judgment according to the data, and when the vibration is abnormal, the vibration reduction system and the variable pitch system act to reduce the vibration influence; meanwhile, the wind turbine generator in the front row carries out safety prediction control on the wind turbine generator in the rear row according to the grouping condition of the wind turbine generators;
the specific process is as follows:
s41, when the 1 st exhaust motor group is affected by sea waves, vibration sensors arranged at the roots of the tower drum and the blades collect vibration signals, and the signals are transmitted to a central processor of the 1 st exhaust motor group;
s42, after the central processing unit receives the data of the vibration signal, the data are processed, the self-vibration influence and the data fusion are removed, and then the calculation is carried out by using a JDL model;
s43, when the 1 st exhaust motor group vibrates abnormally, the central processor sends a control instruction, the influence of vibration is weakened by controlling a vibration damping system and a mode of fine tuning a pitch angle, and meanwhile, the 1 st exhaust motor group sends safety prediction control information to the rear exhaust motor group according to the redundancy grouping condition;
preferably, when the sea wave is too violent, the vibration damping system and the variable pitch system act, the 1 st air exhaust motor group still vibrates abnormally, the 1 st air exhaust motor group is stopped forcibly at the moment, meanwhile, a central processing unit of the 1 st air exhaust motor group sends a safety prediction control command of stopping to the rear air exhaust motor group, and the central processing unit of the rear air exhaust motor group stops controlling after receiving data;
s44, carrying out safety prediction control on the rear exhaust motor set according to the step S43 by the 2 nd row, the 3 rd row … (n-1) th exhaust motor set.
Claims (6)
1. A safety control method for an offshore wind farm based on redundant grouping is characterized by comprising the following steps:
the method comprises the following steps:
s1, mounting a central processing unit, an anemorumbometer, a tower barrel, blades, a yaw system, a pitch system, a vibration reduction system and a vibration sensor on each wind turbine generator in the wind power plant;
s2, carrying out redundancy grouping on the wind turbines in the wind power plant;
s3, a anemorumbometer on the wind turbine generator is used for collecting incoming wind information and transmitting data to a central processing unit, and the central processing unit makes judgment according to the data and controls the yaw system to work; meanwhile, the wind turbine generator in the front row carries out safety prediction control on the wind turbine generator in the rear row according to the grouping condition of the wind turbine generators;
s4, a vibration sensor on the wind turbine is used for collecting the influence of sea waves on the wind turbine and transmitting data to a central processing unit, the central processing unit makes judgment according to the data, and when the vibration is abnormal, the vibration reduction system and the variable pitch system act to reduce the vibration influence; meanwhile, the wind turbine generator in the front row carries out safety prediction control on the wind turbine generator in the rear row according to the grouping condition of the wind turbine generators.
2. The offshore wind farm safety control method based on redundancy grouping according to claim 1, wherein the step S2 specifically comprises:
when a rear exhaust motor set is positioned in the area, the wind turbine generator set is an internal fan of the front exhaust motor set and receives safety prediction control information sent by the front exhaust motor set;
if a certain rear exhaust motor group is simultaneously positioned in different front exhaust motor groups, safety prediction control information sent by different front exhaust motor groups can be received, and a central processing unit of the rear exhaust motor group can fuse all the received information and finally send a control instruction to the wind turbine group.
3. The offshore wind farm safety control method based on redundant grouping according to claim 2, characterized in that:
when the front air exhaust motor group carries out power control in safety prediction control on the rear air exhaust motor group, the power control is carried out through a formula
Calculating the input wind speed of each wind turbine, and adjusting the power generation power of the wind turbines before taking the input wind speed as an input quantity;
in the formula: y isl,wAnd al,wRespectively representing the yaw angle and the induction factor of the Wth wind direction unit which have influence on the input wind speed of the unit l;
Yl＝{yl,1,yl,2,...,yl,mrepresenting the set of yaw angles of all the m upper wind direction units which have influence on the input wind speed of the unit l;
Al＝{al,1,al,2,...,al,mand represents the set of induction factors of all the m upper wind direction units having influence on the input wind speed of the unit l.
4. The offshore wind farm safety control method based on redundancy grouping according to claim 1, wherein the step S3 specifically comprises the steps of:
s31, after the 1 st exhaust motor group receives wind, the anemorumbometer arranged on the engine room collects the wind information, and sends the data to the central processing unit;
s32, when the incoming wind speed exceeds the cut-out speed of the wind turbine generator, the central processing unit controls the yaw system to execute 90-degree side wind yaw and stop the wind turbine generator, and simultaneously, the safety prediction control information is sent to all rear exhaust wind turbine generators;
s33, after the central processing units of all rear exhaust motor sets receive the control information, controlling a yaw system to execute 90-degree crosswind yaw and stop the machine;
s34, when the incoming wind speed is between the cut-in wind speed and the cut-out wind speed of the wind turbine generator but the wind speed/wind direction change frequency is high, the central processing unit calculates the wake flow influence area, carries out redundancy grouping on the wake flow influence area and sends safety prediction control information to the rear exhaust wind turbine generator;
s35, after the central processing unit of the rear exhaust motor unit receives the safety prediction control information, sending an instruction to the wind turbine unit for yaw control and power control;
s36, after the (n-1) th exhaust motor group in the rows 2 and 3 … receives wind, repeating the steps S34-S35, and carrying out safety prediction control on the rear exhaust motor group.
5. The offshore wind farm safety control method based on redundancy grouping according to claim 1, wherein the step S4 specifically comprises the steps of:
s41, when the 1 st exhaust motor group is affected by sea waves, vibration sensors arranged at the roots of the tower drum and the blades collect vibration signals, and the signals are transmitted to a central processor of the 1 st exhaust motor group;
s42, after the central processing unit receives the data of the vibration signal, the data are processed, the self-vibration influence and the data fusion are removed, and then the calculation is carried out by using a JDL model;
s43, when the 1 st exhaust motor group vibrates abnormally, the central processor sends a control instruction, the influence of vibration is weakened by controlling a vibration damping system and a mode of fine tuning a pitch angle, and meanwhile, the 1 st exhaust motor group sends safety prediction control information to the rear exhaust motor group according to the redundancy grouping condition;
s44, carrying out safety prediction control on the rear exhaust motor set according to the step S43 by the 2 nd row, the 3 rd row … (n-1) th exhaust motor set.
6. The offshore wind farm safety control method based on redundant grouping according to claim 5, characterized in that: when the sea wave is too violent, the vibration damping system and the variable pitch system act, the 1 st air exhaust motor group still vibrates abnormally, the 1 st air exhaust motor group is stopped forcibly at the moment, meanwhile, a central processing unit of the 1 st air exhaust motor group sends a safety prediction control instruction of stopping to the rear air exhaust motor group, and the central processing unit of the rear air exhaust motor group stops controlling after receiving data.
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Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040009063A1 (en) * | 2002-07-12 | 2004-01-15 | Polacsek Ronald R. | Oscillating system entraining axial flow devices |
| US20130099496A1 (en) * | 2010-06-23 | 2013-04-25 | Havkraft As | Ocean wave energy system |
| US20130195654A1 (en) * | 2010-03-02 | 2013-08-01 | Robert Bosch Gmbh | Device and Method for Reducing Loads |
| US20130261988A1 (en) * | 2010-06-28 | 2013-10-03 | Vestas Wind Systems A/S | Method for performing condition monitoring in a wind farm |
| EP2696067A2 (en) * | 2012-08-06 | 2014-02-12 | General Electric Company | Wind turbine yaw control within wind farm |
| CA2889104A1 (en) * | 2012-11-22 | 2014-05-30 | Senvion Se | Method for operating a wind energy installation, and wind energy installation |
| US20140328678A1 (en) * | 2013-05-03 | 2014-11-06 | Alstom Renovables España, S.L. | Method of operating a wind turbine |
| CN105041572A (en) * | 2014-04-29 | 2015-11-11 | 通用电气公司 | Systems and methods for optimizing operation of a wind farm |
| US20160215759A1 (en) * | 2015-01-28 | 2016-07-28 | Alliance For Sustainable Energy, Llc | Methods and systems for wind plant power optimization |
| WO2017101945A1 (en) * | 2015-12-18 | 2017-06-22 | Vestas Wind Systems A/S | Estimation of power quality at point of common coupling |
| CN106894947A (en) * | 2017-03-06 | 2017-06-27 | 重庆大学 | A kind of low wind speed speed-changing oar-changing pneumatic equipment bladess Optimization Design |
| US20170284368A1 (en) * | 2014-12-23 | 2017-10-05 | Abb Schweiz Ag | Optimal wind farm operation |
| EP3388664A1 (en) * | 2017-04-11 | 2018-10-17 | XEMC Darwind BV | Buoyant structure carrying wind turbines |
| CN108953060A (en) * | 2018-03-30 | 2018-12-07 | 浙江大学 | Wind power plant field grade Yaw control method based on laser radar anemometer |
| FR3069663A1 (en) * | 2017-07-31 | 2019-02-01 | Electricite De France | PILOTAGE OF A WIND PARK |
| CN109681381A (en) * | 2018-12-24 | 2019-04-26 | 浙江大学 | A kind of variable wind power plant load of utilization rate shares control method |
| CN111794909A (en) * | 2020-06-23 | 2020-10-20 | 国电新能源技术研究院有限公司 | Sector regulation-oriented wind power plant level yaw dynamic optimization method and system |
| CN111828249A (en) * | 2020-07-17 | 2020-10-27 | 国电新能源技术研究院有限公司 | Wind power plant wake flow control system based on externally-hung controller |
| CN111878308A (en) * | 2020-08-04 | 2020-11-03 | 上海交通大学 | Wind turbine cluster prediction group control method |
-
2020
- 2020-12-03 CN CN202011395492.0A patent/CN112483312B/en active Active
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040009063A1 (en) * | 2002-07-12 | 2004-01-15 | Polacsek Ronald R. | Oscillating system entraining axial flow devices |
| US20130195654A1 (en) * | 2010-03-02 | 2013-08-01 | Robert Bosch Gmbh | Device and Method for Reducing Loads |
| US20130099496A1 (en) * | 2010-06-23 | 2013-04-25 | Havkraft As | Ocean wave energy system |
| US20130261988A1 (en) * | 2010-06-28 | 2013-10-03 | Vestas Wind Systems A/S | Method for performing condition monitoring in a wind farm |
| EP2696067A2 (en) * | 2012-08-06 | 2014-02-12 | General Electric Company | Wind turbine yaw control within wind farm |
| CA2889104A1 (en) * | 2012-11-22 | 2014-05-30 | Senvion Se | Method for operating a wind energy installation, and wind energy installation |
| US20140328678A1 (en) * | 2013-05-03 | 2014-11-06 | Alstom Renovables España, S.L. | Method of operating a wind turbine |
| CN105041572A (en) * | 2014-04-29 | 2015-11-11 | 通用电气公司 | Systems and methods for optimizing operation of a wind farm |
| US20170284368A1 (en) * | 2014-12-23 | 2017-10-05 | Abb Schweiz Ag | Optimal wind farm operation |
| US20160215759A1 (en) * | 2015-01-28 | 2016-07-28 | Alliance For Sustainable Energy, Llc | Methods and systems for wind plant power optimization |
| WO2017101945A1 (en) * | 2015-12-18 | 2017-06-22 | Vestas Wind Systems A/S | Estimation of power quality at point of common coupling |
| CN106894947A (en) * | 2017-03-06 | 2017-06-27 | 重庆大学 | A kind of low wind speed speed-changing oar-changing pneumatic equipment bladess Optimization Design |
| EP3388664A1 (en) * | 2017-04-11 | 2018-10-17 | XEMC Darwind BV | Buoyant structure carrying wind turbines |
| FR3069663A1 (en) * | 2017-07-31 | 2019-02-01 | Electricite De France | PILOTAGE OF A WIND PARK |
| CN108953060A (en) * | 2018-03-30 | 2018-12-07 | 浙江大学 | Wind power plant field grade Yaw control method based on laser radar anemometer |
| CN109681381A (en) * | 2018-12-24 | 2019-04-26 | 浙江大学 | A kind of variable wind power plant load of utilization rate shares control method |
| CN111794909A (en) * | 2020-06-23 | 2020-10-20 | 国电新能源技术研究院有限公司 | Sector regulation-oriented wind power plant level yaw dynamic optimization method and system |
| CN111828249A (en) * | 2020-07-17 | 2020-10-27 | 国电新能源技术研究院有限公司 | Wind power plant wake flow control system based on externally-hung controller |
| CN111878308A (en) * | 2020-08-04 | 2020-11-03 | 上海交通大学 | Wind turbine cluster prediction group control method |
Non-Patent Citations (3)
| Title |
|---|
| 何玉林等: "海浪作用下的风力发电机组总体性能仿真", 《重庆大学学报》 * |
| 李学平等: "风力发电机组塔架振动异常分析与优化", 《噪声与振动控制》 * |
| 王俊等: "基于尾流效应的海上风电场有功出力优化", 《电力系统自动化》 * |
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