Harrabi et al., 2018 - Google Patents
Intelligent control of grid‐connected AC–DC–AC converters for a WECS based on T–S fuzzy interconnected systems modellingHarrabi et al., 2018
View HTML- Document ID
- 8613699637882393339
- Author
- Harrabi N
- Souissi M
- Aitouche A
- Chaabane M
- Publication year
- Publication venue
- IET Power Electronics
External Links
Snippet
Control of power converters is undoubtedly an essential issue in wind‐energy systems. This study focuses on the development of a control scheme dedicated to a wind‐energy conversion system (WECS) based on Takagi–Sugeno (T–S) fuzzy model. The treated …
- 239000011159 matrix material 0 abstract description 9
Classifications
-
- 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 GASES [GHG] EMISSION, 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
- Y02E10/763—Power conversion electric or electronic aspects for grid-connected applications
-
- 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 GASES [GHG] EMISSION, 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
-
- 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
- H02J3/382—Dispersed generators the generators exploiting renewable energy
- H02J3/386—Wind energy
-
- 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 GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/20—Active power filtering [APF]
-
- 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 GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Priyadarshi et al. | Fuzzy SVPWM‐based inverter control realisation of grid integrated photovoltaic‐wind system with fuzzy particle swarm optimisation maximum power point tracking algorithm for a grid‐connected PV/wind power generation system: hardware implementation | |
Nasiri et al. | Super‐twisting sliding mode control for gearless PMSG‐based wind turbine | |
Linus et al. | Maximum power point tracking method using a modified perturb and observe algorithm for grid connected wind energy conversion systems | |
Yassin et al. | Enhancement low‐voltage ride through capability of permanent magnet synchronous generator‐based wind turbines using interval type‐2 fuzzy control | |
Harrabi et al. | Intelligent control of grid‐connected AC–DC–AC converters for a WECS based on T–S fuzzy interconnected systems modelling | |
Hu et al. | Model‐predictive direct power control of doubly‐fed induction generators under unbalanced grid voltage conditions in wind energy applications | |
Lei et al. | Doubly‐fed induction generator wind turbine modelling for detailed electromagnetic system studies | |
Shanthi et al. | Effective power transfer scheme for a grid connected hybrid wind/photovoltaic system | |
Yang et al. | Passivity‐based linear feedback control of permanent magnetic synchronous generator‐based wind energy conversion system: design and analysis | |
Ali et al. | Variable step size PO MPPT algorithm using model reference adaptive control for optimal power extraction | |
Aboudrar et al. | Dynamic modeling and robust control by ADRC of grid‐connected hybrid PV‐wind energy conversion system | |
Yazici et al. | Maximum power point tracking for the permanent magnet synchronous generator‐based WECS by using the discrete‐time integral sliding mode controller with a chattering‐free reaching law | |
Gasmi et al. | Optimal Operation of Doubly-fed Induction Generator used in a Grid-Connected Wind Power System. | |
Moradi et al. | Sliding mode type‐2 neuro‐fuzzy power control of grid‐connected DFIG for wind energy conversion system | |
Bayhan et al. | Fuzzy‐PI‐based sensorless frequency and voltage controller for doubly fed induction generator connected to a DC microgrid | |
Lin et al. | Intelligent controlled three‐phase squirrel‐cage induction generator system using wavelet fuzzy neural network for wind power | |
Errami et al. | Sliding mode control scheme of variable speed wind energy conversion system based on the PMSG for utility network connection | |
Dewangan et al. | Performance improvement of wind‐driven self‐excited induction generator using fuzzy logic controller | |
Kassem | Modelling and robust control design of a standalone wind‐based energy storage generation unit powering an induction motor‐variable‐displacement pressure‐compensated pump | |
Babu et al. | Fuzzy logic based optimal tip speed ratio MPPT controller for grid connected WECS | |
Yazıcı et al. | Discrete‐time integral terminal sliding mode based maximum power point controller for the PMSG‐based wind energy system | |
Sompracha et al. | Particle swarm optimisation technique to improve energy efficiency of doubly‐fed induction generators for wind turbines | |
Mokhtari Vayeghan et al. | Torque ripple reduction of DFIG by a new and robust predictive torque control method | |
Beik et al. | Wind turbine multiphase operational trajectory in an all‐DC wind generation system | |
Mishra et al. | Development and implementation of control of stand‐alone PMSG‐based distributed energy system with variation in input and output parameters |