Parametrically Robust Mutual Inductance Estimation based Adaptive Control Architecture for Doubly Fed Induction Generator (DFIG)

2019 ◽  
Author(s):  
Anuprabha Ravindran Nair ◽  
Rojan Bhattarai ◽  
Sukumar Kamalasadan
Keyword(s):  
Adaptive Control ◽  
Mutual Inductance ◽  
Control Architecture ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Doubly Fed

scholarly journals Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

Energies ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 904 ◽  
Author(s):  
Tiejiang Yuan ◽  
Jinjun Wang ◽  
Yuhang Guan ◽  
Zheng Liu ◽  
Xinfu Song ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Energy Storage ◽  
Power System ◽  
Wind Power ◽  
Induction Generator ◽  
Hydrogen Energy ◽  
Doubly Fed Induction Generator ◽  
Wind Power System ◽  
Virtual Inertia ◽  
Doubly Fed

scholarly journals A Doubly-fed Induction Generator Adaptive Control Strategy and Coordination Technology Compatible with Feeder Automation

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4463 ◽  
Author(s):  
Tian ◽  
Li ◽  
Hao
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Fault Isolation ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Feeder Automation ◽  
Grid Connection ◽  
Adaptive Control Strategy ◽  
Doubly Fed ◽  
Coordination Technology

The extensive connection of distributed generation (DG) with the distribution network (DN) is one of the core features of a smart grid, but in case of a large number, it may result in problems concerning the DN-DG compatibility during fault isolation and service restoration, for which no efficient and economic solutions have been developed. This paper proposes a doubly-fed induction generator (DFIG) adaptive control strategy (ACS) and a coordination technology to be compatible with the typical feeder automation (FA) protection logics in the ring distribution system. First of all, an ACS simulating the inertia/damping characteristics and excitation principles of synchronous generators is developed to achieve seamless switching between DFIG grid-connection/island modes, and make distant synchronization possible. Next, a technology coordinating the DFIG islands controlled by ACS and the remote tie-switches based on local inspection of synchronization conditions for closing is developed to achieve the safety grid-connection of DFIG islands in the absence of DN-DG communication. At the last, a detailed simulation scenario with a ring DN accessed by five DFIGs is used to validate the effectiveness of ACS and coordination technology compatible with FA in various faults scenes.

scholarly journals Robust MRAC-based adaptive control of a Doubly Fed Induction Generator (DFIG) in a Wind energy system using a fractional order Integrator

2020 ◽  
Vol 5 (1) ◽  
pp. 40-46
Author(s):  
Sihem Djebbri ◽  
Hanane Balaska ◽  
Samir LADACI
Keyword(s):  
Adaptive Control ◽  
Wind Energy ◽  
Fractional Order ◽  
Reactive Power ◽  
Induction Generator ◽  
Control Law ◽  
Doubly Fed Induction Generator ◽  
Fractional Order Control ◽  
Model Reference ◽  
Doubly Fed

This paper presents a robust control of doubly fed induction generator for wind generation system. The whole system is presented in d-q-synchronous reference frame. We propose the implementation of adaptive control with integer model reference MRAC, fractional model reference FOMRAC with integer and fractional order control law design for active and reactive power supervision control in the doubly fed induction generator (DFIG) for wind energy systems. The objective is to realize a comparative study between the classical regulator MRAC and the proposed FO-MRAC with integer and fractional order control law in order to demonstrate the robustness of the fractional order adaptive control with fractional order integral in control law comparatively to integer order one. Performance and robustness results obtained will be presented and analyzed.

Command of a Doubly-Fed Induction Generator with a Backstepping Controller for a Wind Turbine Application

2017 ◽  
Vol 10 (1) ◽  
pp. 56 ◽  
Author(s):  
Zakaria Sabiri ◽  
Nadia Machkour ◽  
Nabila Rabbah ◽  
Mohammed Nahid ◽  
Elm'kaddem Kheddioui
Keyword(s):  
Wind Turbine ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Backstepping Controller ◽  
Doubly Fed
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