CN103343731B - Wind power plant low-efficiency draught fan recognition method - Google Patents

Wind power plant low-efficiency draught fan recognition method Download PDF

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CN103343731B
CN103343731B CN201310312251.9A CN201310312251A CN103343731B CN 103343731 B CN103343731 B CN 103343731B CN 201310312251 A CN201310312251 A CN 201310312251A CN 103343731 B CN103343731 B CN 103343731B
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blower fan
subset
secondary identification
wind
seconds
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CN103343731A (en
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李昌
徐宏飞
张溯宁
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Wujiang science and Technology Pioneer Park Management Service Co.,Ltd.
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SHANGHAI SUNRISE POWER TECHNOLOGY Co Ltd
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    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/30—Wind power
    • 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

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Abstract

The invention discloses a wind power plant low-efficiency draught fan recognition method and relates to the technical field of wind power. The wind power plant low-efficiency draught fan recognition method solves the technical problems for reducing the recognition cost and improving the recognition precision. The method includes the steps of setting up an initial recognition draught fan set according to the wind speed of a wind measurement tower and the average wind speed in 30 seconds of each draught fan to be measured, calculating an initial average wind speed in 30 seconds of the initial recognition draught fan set, setting up a secondary recognition draught fan subset according to the calculation result, calculating a secondary average wind speed in 30 seconds of the secondary recognition draught fan subset, sequentially calculating a normalized power average value of the secondary recognition draught fan subset, a normalized theory generated power value of each draught fan in the secondary recognition draught fan subset and a normalized generated power value of each draught fan in the secondary recognition draught fan subset according to the secondary average wind speed in 30 seconds of the secondary recognition draught fan subset and the real-time generated power of each draught fan, and recognizing low-efficiency draught fans in the secondary recognition draught fan subset according to the calculation results. The method is suitable for recognizing the low-efficiency draught fans in a wind power plant.

Description

Wind power plant low-efficiency draught fan recognition method
Technical field
The present invention relates to wind power technology, particularly relate to a kind of technology of wind power plant low-efficiency draught fan recognition method.
Background technique
The blower fan of wind energy turbine set is in normal operation, its generating electricity and wind energy turbine set wind resource, wind energy turbine set position, blower fan subtense angle running state are relevant, when after the impact getting rid of wind resource, wind energy turbine set position, the running state of blower fan subsystems is directly connected to the generated output of blower fan.
Blower fan has tens subtense angles, arranges various sensor carry out status monitoring to each subtense angle, can diagnose fan operation state preferably, these electricity generation situation determining blower fan that independently running state is comparatively complicated.When blower fan subtense angle can normally run, and blower fan generated output can not normal reaction current wind resource state time, need to analyze blower fan power generation situation, to find out the abnormal blower fan of generating, emphasis supervision is carried out to these blower fans, reduces the danger of fan trouble.
The blower fan that generating is abnormal, performance results is the normal power generation value under generated energy is less than the present situation, needs under varying environment situation, finds the blower fan of these abnormal generatings, monitors to realize emphasis.Usually, hundreds of is reached to the quantity of state that blower fan monitors, most of quantity of state resetted very soon in several seconds, this hundreds of quantity of state non-fully are independent, but mutually disturb, therefore adopt conventional monitoring mode to be difficult to accurately to realize blower fan to generate electricity the monitoring of abnormal blower fan, and it is also very high to realize cost.
Summary of the invention
For the defect existed in above-mentioned prior art, technical problem to be solved by this invention be to provide a kind of realize cost low, judge that blower fan generates electricity the high wind power plant low-efficiency draught fan recognition method of abnormal degree of accuracy.
In order to solve the problems of the technologies described above, a kind of wind power plant low-efficiency draught fan recognition method provided by the present invention, it is characterized in that, concrete steps are as follows:
1) obtain the wind speed of wind energy turbine set anemometer tower, be designated as Vc;
2) blower fan that generated outputs all in wind energy turbine set exceed design capacity 5% is set as blower fan to be measured, obtains 30 seconds mean wind velocitys of every platform blower fan to be measured;
3) all 30 seconds mean wind velocitys be greater than 0.5 times of Vc and be less than the blower fan to be measured of 2 times of Vc, forming one and identify blower fan set for the first time, and calculating the first 30 seconds first mean wind velocitys identifying blower fan set, specific formula for calculation is:
Va 1 = Σ j = 1 k V w · j / k ;
In formula, Va1 identifies 30 seconds of blower fan set first mean wind velocitys, V for the first time wjfor identifying 30 seconds mean wind velocitys of jth Fans in blower fan set for the first time, k is the blower fan sum identified for the first time in blower fan set;
4) will identify for the first time in blower fan set, within all 30 seconds, mean wind velocity is greater than 0.5 times of Va1 and is less than the blower fan of 2 times of Va1, and form a secondary identification blower fan subset, and calculate 30 seconds quadratic average wind speed of secondary identification blower fan subset, specific formula for calculation is:
Va 2 = Σ j = 1 n V w · j / n ;
In formula, Va2 is 30 seconds quadratic average wind speed of secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset, n is the blower fan sum in secondary identification blower fan subset;
5) obtain the real-time generated output of wind turbine in secondary identification blower fan subset, and calculate the normalized power mean value of secondary identification blower fan subset, specific formula for calculation is:
Pat = Σ j = 1 n [ P j × ( Va 2 / V w · j ) 3 ] / n ;
In formula, Pat is the normalized power mean value of secondary identification blower fan subset, P jfor the real-time generated output of the jth Fans in secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset, n is the blower fan sum in secondary identification blower fan subset;
6) calculate the theoretical generated output value of normalization of wind turbine in secondary identification blower fan subset, specific formula for calculation is:
P t·j＝P j×(Va2/V w·j) 3；
In formula, P tjthe theoretical generated output value of normalization for jth Fans in secondary identification blower fan subset, P jfor the real-time generated output of the jth Fans in secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset;
7) calculate the generating normalizing efficiency value of wind turbine in secondary identification blower fan subset, specific formula for calculation is:
Φj=（P t·j－Pat）/Pat；
In formula, Φ j is the generating normalizing efficiency value of jth Fans in secondary identification blower fan subset, P tjthe theoretical generated output value of normalization for jth Fans in secondary identification blower fan subset;
8) set a normalizing efficiency limit value, and identify the wind turbine in secondary identification blower fan subset according to this normalizing efficiency limit value, identifying method is:
For any Fans in secondary identification blower fan subset, if the generating normalizing efficiency value of this blower fan is lower than normalizing efficiency limit value, then judge that the generating efficiency of this blower fan is low.
Further, the value of normalizing efficiency limit value is 0.8.
Wind power plant low-efficiency draught fan recognition method provided by the invention, according to the generating information of other blower fans in wind energy turbine set wind resource information and wind energy turbine set, calculate the theoretical generating efficiency of each blower fan, and carry out early warning judgement according to result of calculation and blower fan actual power generation, identify the inefficient blower fan of generating efficiency lower than setting limit value, do not need numerous quantity of states of each subtense angle of blower fan, only need blower fan generating information, wind energy turbine set wind resource information realizes the theory calculate of blower fan generating, simultaneously for avoiding the individual difference to wind speed of blower fan, adopt the method normalizing to mean wind velocity, there is input information few, realize cost low, judge that blower fan generates electricity the high feature of abnormal degree of accuracy.
Accompanying drawing explanation
Fig. 1 is the calculation flow chart of the wind power plant low-efficiency draught fan recognition method of the embodiment of the present invention.
Embodiment
Illustrate below in conjunction with accompanying drawing and be described in further detail embodiments of the invention, but the present embodiment is not limited to the present invention, every employing analog structure of the present invention and similar change thereof, all should list protection scope of the present invention in.
As shown in Figure 1, a kind of wind power plant low-efficiency draught fan recognition method that the embodiment of the present invention provides, it is characterized in that, concrete steps are as follows:
1) obtain the wind speed of wind energy turbine set anemometer tower, be designated as Vc;
2) blower fan that generated outputs all in wind energy turbine set exceed design capacity 5% is set as blower fan to be measured, obtains 30 seconds mean wind velocitys of every platform blower fan to be measured;
3) all 30 seconds mean wind velocitys be greater than 0.5 times of Vc and be less than the blower fan to be measured of 2 times of Vc, forming one and identify blower fan set for the first time, and calculating the first 30 seconds first mean wind velocitys identifying blower fan set, specific formula for calculation is:
Va 1 = Σ j = 1 k V w · j / k ;
In formula, Va1 identifies 30 seconds of blower fan set first mean wind velocitys, V for the first time wjfor identifying 30 seconds mean wind velocitys of jth Fans in blower fan set for the first time, k is the blower fan sum identified for the first time in blower fan set;
4) will identify for the first time in blower fan set, within all 30 seconds, mean wind velocity is greater than 0.5 times of Va1 and is less than the blower fan of 2 times of Va1, and form a secondary identification blower fan subset, and calculate 30 seconds quadratic average wind speed of secondary identification blower fan subset, specific formula for calculation is:
Va 2 = Σ j = 1 n V w · j / n ;
In formula, Va2 is 30 seconds quadratic average wind speed of secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset, n is the blower fan sum in secondary identification blower fan subset;
5) obtain the real-time generated output of wind turbine in secondary identification blower fan subset, and calculate the normalized power mean value of secondary identification blower fan subset, specific formula for calculation is:
Pat = Σ j = 1 n [ P j × ( Va 2 / V w · j ) 3 ] / n ;
In formula, Pat is the normalized power mean value of secondary identification blower fan subset, P jfor the real-time generated output of the jth Fans in secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset, n is the blower fan sum in secondary identification blower fan subset;
6) calculate the theoretical generated output value of normalization of wind turbine in secondary identification blower fan subset, specific formula for calculation is:
P t·j＝P j×(Va2/V w·j) 3；
In formula, P tjthe theoretical generated output value of normalization for jth Fans in secondary identification blower fan subset, P jfor the real-time generated output of the jth Fans in secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset;
7) calculate the generating normalizing efficiency value of wind turbine in secondary identification blower fan subset, specific formula for calculation is:
Φj=（P t·j－Pat）/Pat；
In formula, Φ j is the generating normalizing efficiency value of jth Fans in secondary identification blower fan subset, P tjthe theoretical generated output value of normalization for jth Fans in secondary identification blower fan subset;
8) set a normalizing efficiency limit value, and identify the wind turbine in secondary identification blower fan subset according to this normalizing efficiency limit value, identifying method is:
For any Fans in secondary identification blower fan subset, if the generating normalizing efficiency value of this blower fan is lower than normalizing efficiency limit value, then judges that the generating efficiency of this blower fan is low, send the warning message that this blower fan generating efficiency is low;
Wherein, the value of normalizing efficiency limit value is generally 0.8.

Claims (2)

1. a wind power plant low-efficiency draught fan recognition method, is characterized in that, concrete steps are as follows:
1) obtain the wind speed of wind energy turbine set anemometer tower, be designated as Vc;
2) blower fan that generated outputs all in wind energy turbine set exceed design capacity 5% is set as blower fan to be measured, obtains 30 seconds mean wind velocitys of every platform blower fan to be measured;
3) all 30 seconds mean wind velocitys be greater than 0.5 times of Vc and be less than the blower fan to be measured of 2 times of Vc, forming one and identify blower fan set for the first time, and calculating the first 30 seconds first mean wind velocitys identifying blower fan set, specific formula for calculation is:
Va 1 = Σ j = 1 k V w · j / k ;
In formula, Va1 identifies 30 seconds of blower fan set first mean wind velocitys, V for the first time wjfor identifying 30 seconds mean wind velocitys of jth Fans in blower fan set for the first time, k is the blower fan sum identified for the first time in blower fan set;
4) will identify for the first time in blower fan set, within all 30 seconds, mean wind velocity is greater than 0.5 times of Va1 and is less than the blower fan of 2 times of Va1, and form a secondary identification blower fan subset, and calculate 30 seconds quadratic average wind speed of secondary identification blower fan subset, specific formula for calculation is:
Va 2 = Σ j = 1 n V w · j / n ;
In formula, Va2 is 30 seconds quadratic average wind speed of secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset, n is the blower fan sum in secondary identification blower fan subset;
5) obtain the real-time generated output of wind turbine in secondary identification blower fan subset, and calculate the normalized power mean value of secondary identification blower fan subset, specific formula for calculation is:
Pat = Σ j = 1 n [ P j × ( Va 2 / V w · j ) 3 ] / n ;
In formula, Pat is the normalized power mean value of secondary identification blower fan subset, P jfor the real-time generated output of the jth Fans in secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset, n is the blower fan sum in secondary identification blower fan subset;
6) calculate the theoretical generated output value of normalization of wind turbine in secondary identification blower fan subset, specific formula for calculation is:
P t·j＝P j×(Va2/V w·j) 3；
In formula, P tjthe theoretical generated output value of normalization for jth Fans in secondary identification blower fan subset, P jfor the real-time generated output of the jth Fans in secondary identification blower fan subset, V wjfor 30 seconds mean wind velocitys of jth Fans in secondary identification blower fan subset;
7) calculate the generating normalizing efficiency value of wind turbine in secondary identification blower fan subset, specific formula for calculation is:
Φj=（P t·j－Pat）/Pat；
In formula, Φ j is the generating normalizing efficiency value of jth Fans in secondary identification blower fan subset, P tjthe theoretical generated output value of normalization for jth Fans in secondary identification blower fan subset;
8) set a normalizing efficiency limit value, and identify the wind turbine in secondary identification blower fan subset according to this normalizing efficiency limit value, identifying method is:
For any Fans in secondary identification blower fan subset, if the generating normalizing efficiency value of this blower fan is lower than normalizing efficiency limit value, then judge that the generating efficiency of this blower fan is low.
2. according to the wind power plant low-efficiency draught fan recognition method of right according to 1, it is characterized in that: the value of normalizing efficiency limit value is 0.8.
CN201310312251.9A 2013-07-23 2013-07-23 Wind power plant low-efficiency draught fan recognition method Active CN103343731B (en)

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CN105043873A (en) * 2015-07-20 2015-11-11 深圳中飞腾翔航空科技有限公司 Method and device for testing tensile strength of monofilaments
CN105863970B (en) * 2016-05-06 2018-09-07 华北电力大学（保定） A kind of fan trouble recognition methods and device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4178124A (en) * 1978-04-17 1979-12-11 Alexander Puskas Turbine apparatus
KR100702418B1 (en) * 2005-02-17 2007-04-03 부산대학교 산학협력단 Turbine blades structure of vertical axis wind power generation system
WO2011131522A3 (en) * 2010-04-19 2012-05-24 Wobben, Aloys Method for the operation of a wind turbine
US8297910B2 (en) * 2008-09-04 2012-10-30 California Energy & Power Fluid turbine systems

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4178124A (en) * 1978-04-17 1979-12-11 Alexander Puskas Turbine apparatus
KR100702418B1 (en) * 2005-02-17 2007-04-03 부산대학교 산학협력단 Turbine blades structure of vertical axis wind power generation system
US8297910B2 (en) * 2008-09-04 2012-10-30 California Energy & Power Fluid turbine systems
WO2011131522A3 (en) * 2010-04-19 2012-05-24 Wobben, Aloys Method for the operation of a wind turbine

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Effective date of registration: 20200529

Address after: 215200 south of Lianyang road and east of Chang'an Road, Wujiang Economic and Technological Development Zone, Suzhou City, Jiangsu Province (Science and technology entrepreneurship Park)

Patentee after: Wujiang science and Technology Pioneer Park Management Service Co.,Ltd.

Address before: 200233, building 12, building 470, No. 5, Guiping Road, Shanghai, Xuhui District

Patentee before: SHANGHAI SUNRISE POWER TECHNOLOGY Co.,Ltd.