Minimum variance controller based adaptive control for Doubly fed induction generator

Author(s):  
Rojan Bhattarai ◽  
Niroj Gurung ◽  
Sukumar Kamalasadan
Energies ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 904 ◽  
Author(s):  
Tiejiang Yuan ◽  
Jinjun Wang ◽  
Yuhang Guan ◽  
Zheng Liu ◽  
Xinfu Song ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4463 ◽  
Author(s):  
Tian ◽  
Li ◽  
Hao

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.


2020 ◽  
Vol 5 (1) ◽  
pp. 40-46
Author(s):  
Sihem Djebbri ◽  
Hanane Balaska ◽  
Samir LADACI

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.


2017 ◽  
Vol 10 (1) ◽  
pp. 56 ◽  
Author(s):  
Zakaria Sabiri ◽  
Nadia Machkour ◽  
Nabila Rabbah ◽  
Mohammed Nahid ◽  
Elm'kaddem Kheddioui

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