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Synchronization and Coordinated Fuzzy Current Control Scheme of PMSG Based WECS in the Presence Of Severe Grid Fault
M. Sailasutha1, M. RamsekharaReddy2

1Makkalla Sailasutha, Currently doing Post Graduation in Electrical Power System from Jawaharlal Nehru Technological University, Anantapur.
2M.RamsekharaReddy working as a Assistant Professor in Department of Electrical Engineering, JNTUA College of Engineering, Anantapur

Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 158-163 | Volume-8 Issue-3 September 2019 | Retrieval Number: C3917098319/19©BEIESP | DOI: 10.35940/ijrte.C3917.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: When ever extreme grid collapse occurs, the wind farm should remain on-grid and the desired reactive current must be injected in to the grid, which is generally required by the grid codes. Static synchronous compensator (STATCOM) is used in order to inject certain reactive current, it is normally used in wind farms in the present scenario. Generally, some of the vector control methods like phase locked loop (PLL)-oriented are used to control the wind farm and STATCOM to supply reactive currents. Even due to severe grid fault there is a chance of occurring loss of synchronization (LOS) due to imbalance of real power between supply of power and utilization. The dynamic mechanism of synchronization and wind farm stability criteria and proposes coordinated fuzzy current control scheme for the WECS and STATCOM under grid fault. PI controller is replaced with Fuzzy logic controller in this proposed method. The proposed control scheme is verified and carried out simulations in MATLAB/SIMULINK.
Index Terms Permanent Magnet Synchronous Generator (PMSG), Wind Energy Conversion System (WECS) , Coordinated Fuzzy Current Control.
Scope of the Article: Fuzzy Logics