Previously, conventional state estimation techniques have been used for state estimation in power systems. These conventional methods are based on steady state models. As a result of this, power system dynamics during disturbances or transient conditions are not adequately captured.
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Fuzzy-logic-controlled DVR for enhancing the fault resilience of wind energy conversion systems. [PDF]
Nori AM +5 more
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Hybrid Forecast-Enabled Adaptive Crowbar Coordination for LVRT Enhancement in DFIG Wind Turbines. [PDF]
Su X, Kim H, Kim C, Zhang M, Jung H.
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Enhanced grid stability of DFIG-based wind systems through intelligent reactive power coordination using machine learning-based control. [PDF]
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The impact of virtual synchronous compensator on the transient synchronous stability of renewable energy. [PDF]
Sun F, Chen Y, Wang W.
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A comparative Study of Low-Voltage Ride-Through (LVRT) Control of Grid-Interfaced Doubly-Fed Induction Generator (DFIG) [PDF]
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Data-driven dynamic modeling for inverter-based resources using neural networks. [PDF]
Yang K +5 more
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Fault analysis and performance improvement of grid-connected doubly fed induction generator through an enhanced crowbar protection scheme. [PDF]
Talani RA +5 more
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Improved finite control set model predictive current control design for variable-speed wind-energy conversion system connected to the grid via an LCL filter. [PDF]
Hamid HBA +7 more
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Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults. [PDF]
Sabzevari K +6 more
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