CN113394806B - 基于神经网络的风电并网线性自抗扰控制系统 - Google Patents
基于神经网络的风电并网线性自抗扰控制系统 Download PDFInfo
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- CN113394806B CN113394806B CN202110544960.4A CN202110544960A CN113394806B CN 113394806 B CN113394806 B CN 113394806B CN 202110544960 A CN202110544960 A CN 202110544960A CN 113394806 B CN113394806 B CN 113394806B
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- 238000013528 artificial neural network Methods 0.000 title claims abstract description 56
- 239000003990 capacitor Substances 0.000 claims description 14
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- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
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- 230000010354 integration Effects 0.000 claims 6
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
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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
- 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
- Y02E10/76—Power conversion electric or electronic aspects
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- Control Of Eletrric Generators (AREA)
Abstract
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CN202110544960.4A CN113394806B (zh) | 2021-05-19 | 2021-05-19 | 基于神经网络的风电并网线性自抗扰控制系统 |
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CN202110544960.4A CN113394806B (zh) | 2021-05-19 | 2021-05-19 | 基于神经网络的风电并网线性自抗扰控制系统 |
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CN113394806A CN113394806A (zh) | 2021-09-14 |
CN113394806B true CN113394806B (zh) | 2022-05-06 |
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Families Citing this family (1)
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CN116247703B (zh) * | 2023-03-14 | 2024-01-26 | 华北电力大学 | 一种直流母线电压控制装置、方法、系统及电子设备 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112448629A (zh) * | 2019-08-29 | 2021-03-05 | 天津科技大学 | 一种基于改进自抗扰神经控制器的无刷双馈风力发电系统 |
CN112531782A (zh) * | 2020-12-08 | 2021-03-19 | 浙江国际海运职业技术学院 | 一种风电变流器母线电压波动抑制方法 |
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US10496052B2 (en) * | 2015-04-10 | 2019-12-03 | The Board Of Trustees Of The University Of Alabama | Systems, methods and devices for vector control of induction machines using artificial neural networks |
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Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112448629A (zh) * | 2019-08-29 | 2021-03-05 | 天津科技大学 | 一种基于改进自抗扰神经控制器的无刷双馈风力发电系统 |
CN112531782A (zh) * | 2020-12-08 | 2021-03-19 | 浙江国际海运职业技术学院 | 一种风电变流器母线电压波动抑制方法 |
Non-Patent Citations (2)
Title |
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Design_and_Parameter_Tuning_of_Nonlinear_Active_Disturbance_Rejection_Controller_for_Permanent_Magnet_Direct_Drive_Wind_Power_Converter_System;BIN ZHANG;《IEEE Access》;20210126;第33836-33848页 * |
基于二阶线性自抗扰的风电并网逆变器;马幼捷;《电气传动》;20210120;第35-42页 * |
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Application publication date: 20210914 Assignee: ZHEJIANG HONGYU ENGINEERING SURVEY AND DESIGN CO.,LTD. Assignor: ZHEJIANG INTERNATIONAL MARITIME College Contract record no.: X2023980043363 Denomination of invention: Neural network-based linear auto-disturbance rejection control system for wind power grid connection Granted publication date: 20220506 License type: Common License Record date: 20231017 Application publication date: 20210914 Assignee: Zhejiang pilot Free Trade Zone Hengsheng Technology Co.,Ltd. Assignor: ZHEJIANG INTERNATIONAL MARITIME College Contract record no.: X2023980043354 Denomination of invention: Neural network-based linear auto-disturbance rejection control system for wind power grid connection Granted publication date: 20220506 License type: Common License Record date: 20231017 |
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Application publication date: 20210914 Assignee: Zhoushan Shuhai Network Technology Co.,Ltd. Assignor: ZHEJIANG INTERNATIONAL MARITIME College Contract record no.: X2024980002309 Denomination of invention: Neural network-based wind power grid connected linear self disturbance rejection control system Granted publication date: 20220506 License type: Common License Record date: 20240228 |
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Application publication date: 20210914 Assignee: Zhejiang Zhoushan Wanji Concrete Products Co.,Ltd. Assignor: ZHEJIANG INTERNATIONAL MARITIME College Contract record no.: X2024980011890 Denomination of invention: Neural Network based Wind Power Parallel Network Active Disturbance Rejection Control System Granted publication date: 20220506 License type: Common License Record date: 20240813 Application publication date: 20210914 Assignee: Zhoushan Yuanxin Ready-Mixed Concrete Co.,Ltd. Assignor: ZHEJIANG INTERNATIONAL MARITIME College Contract record no.: X2024980011880 Denomination of invention: Neural Network based Wind Power Parallel Network Active Disturbance Rejection Control System Granted publication date: 20220506 License type: Common License Record date: 20240813 |