CN106837704A - 一种中型低速永磁直驱风电机组及其参数自学习控制方法 - Google Patents
一种中型低速永磁直驱风电机组及其参数自学习控制方法 Download PDFInfo
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- CN106837704A CN106837704A CN201710247830.8A CN201710247830A CN106837704A CN 106837704 A CN106837704 A CN 106837704A CN 201710247830 A CN201710247830 A CN 201710247830A CN 106837704 A CN106837704 A CN 106837704A
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- speed
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- main shaft
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- 238000005452 bending Methods 0.000 claims abstract description 3
- 230000008569 process Effects 0.000 claims description 5
- 229910000831 Steel Inorganic materials 0.000 claims description 4
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Classifications
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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
-
- 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
- F05B2270/328—Blade pitch angle
-
- 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
- F05B2270/329—Azimuth or yaw angle
-
- 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
-
- 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
- F05B2270/709—Type of control algorithm with neural networks
-
- 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
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
Description
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201710247830.8A CN106837704A (zh) | 2017-04-17 | 2017-04-17 | 一种中型低速永磁直驱风电机组及其参数自学习控制方法 |
Applications Claiming Priority (1)
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CN201710247830.8A CN106837704A (zh) | 2017-04-17 | 2017-04-17 | 一种中型低速永磁直驱风电机组及其参数自学习控制方法 |
Publications (1)
Publication Number | Publication Date |
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CN106837704A true CN106837704A (zh) | 2017-06-13 |
Family
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Family Applications (1)
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CN201710247830.8A Pending CN106837704A (zh) | 2017-04-17 | 2017-04-17 | 一种中型低速永磁直驱风电机组及其参数自学习控制方法 |
Country Status (1)
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CN (1) | CN106837704A (zh) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108052724A (zh) * | 2017-12-08 | 2018-05-18 | 长沙学院 | 一种永磁风力发电机的单位成本年发电量优化方法 |
CN115580082A (zh) * | 2022-10-24 | 2023-01-06 | 江阴市海达电机冲片有限公司 | 风电机组变桨伺服电机铁芯散热处理***及方法 |
Citations (8)
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US20020084655A1 (en) * | 2000-12-29 | 2002-07-04 | Abb Research Ltd. | System, method and computer program product for enhancing commercial value of electrical power produced from a renewable energy power production facility |
JP2007056686A (ja) * | 2005-08-22 | 2007-03-08 | Univ Of Ryukyus | 風速予測に基づく風力発電機の数時間先発電電力予測装置 |
EP2541052A1 (en) * | 2011-06-30 | 2013-01-02 | Siemens Aktiengesellschaft | Controlling a wind turbine using a neural network function |
CN102889176A (zh) * | 2011-07-19 | 2013-01-23 | 西门子公司 | 风力涡轮机的控制、转子叶片以及风力涡轮机 |
CN103485977A (zh) * | 2013-09-06 | 2014-01-01 | 河海大学 | 风力发电***实时功率预测的修正方法 |
CN203948227U (zh) * | 2014-06-27 | 2014-11-19 | 沈阳工业大学自控技术研究所 | 一种中型低速永磁直驱风力发电机组 |
CN104454346A (zh) * | 2014-11-09 | 2015-03-25 | 华北电力大学(保定) | 一种小型永磁直驱风力发电***最大功率跟踪控制方法 |
CN104564519A (zh) * | 2013-10-22 | 2015-04-29 | 同济大学 | 桨距角控制与超级电容相结合的风电入网功率控制方法 |
-
2017
- 2017-04-17 CN CN201710247830.8A patent/CN106837704A/zh active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
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US20020084655A1 (en) * | 2000-12-29 | 2002-07-04 | Abb Research Ltd. | System, method and computer program product for enhancing commercial value of electrical power produced from a renewable energy power production facility |
JP2007056686A (ja) * | 2005-08-22 | 2007-03-08 | Univ Of Ryukyus | 風速予測に基づく風力発電機の数時間先発電電力予測装置 |
EP2541052A1 (en) * | 2011-06-30 | 2013-01-02 | Siemens Aktiengesellschaft | Controlling a wind turbine using a neural network function |
CN102889176A (zh) * | 2011-07-19 | 2013-01-23 | 西门子公司 | 风力涡轮机的控制、转子叶片以及风力涡轮机 |
CN103485977A (zh) * | 2013-09-06 | 2014-01-01 | 河海大学 | 风力发电***实时功率预测的修正方法 |
CN104564519A (zh) * | 2013-10-22 | 2015-04-29 | 同济大学 | 桨距角控制与超级电容相结合的风电入网功率控制方法 |
CN203948227U (zh) * | 2014-06-27 | 2014-11-19 | 沈阳工业大学自控技术研究所 | 一种中型低速永磁直驱风力发电机组 |
CN104454346A (zh) * | 2014-11-09 | 2015-03-25 | 华北电力大学(保定) | 一种小型永磁直驱风力发电***最大功率跟踪控制方法 |
Non-Patent Citations (2)
Title |
---|
王湘明等: "基于神经元网络的液压变距自适应控制", 《太阳能学报》 * |
高鹏飞等: "自学习优化算法对风电机组的功率控制", 《风能》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108052724A (zh) * | 2017-12-08 | 2018-05-18 | 长沙学院 | 一种永磁风力发电机的单位成本年发电量优化方法 |
CN115580082A (zh) * | 2022-10-24 | 2023-01-06 | 江阴市海达电机冲片有限公司 | 风电机组变桨伺服电机铁芯散热处理***及方法 |
CN115580082B (zh) * | 2022-10-24 | 2023-03-17 | 江阴市海达电机冲片有限公司 | 风电机组变桨伺服电机铁芯散热处理***及方法 |
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PB01 | Publication | ||
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Effective date of registration: 20200225 Address after: 102206 Beijing city Changping District Small Town Zhu Daxinzhuang North Agricultural Road No. 2 Applicant after: NORTH CHINA ELECTRIC POWER University Applicant after: BEIJING YAONENG TECHNOLOGY Co.,Ltd. Address before: 102206 Beijing city Changping District small town development road No. 8 Building No. 3 hospital 1 layer 103 Applicant before: BEIJING YAONENG TECHNOLOGY Co.,Ltd. |
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Application publication date: 20170613 |