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A Fuzzy Logic Controller to Increase Fault Ride-Through Capability of Variable Speed Wind Turbines.

, , , and . Applied Comp. Int. Soft Computing, (2012)

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A Fuzzy Logic Controller to Increase Fault Ride-Through Capability of Variable Speed Wind Turbines., , , and . Applied Comp. Int. Soft Computing, (2012)Towards design and implementation of Industry 4.0 for food manufacturing., , , , , and . Neural Comput. Appl., 35 (33): 23753-23765 (November 2023)Multi-objective day-ahead scheduling of microgrids using modified grey wolf optimizer algorithm., , , , and . J. Intell. Fuzzy Syst., 36 (3): 2857-2870 (2019)Evaluating the Benefits of Optimal Allocation of Wind Turbines for Distribution Network Operators., and . IEEE Syst. J., 9 (2): 629-638 (2015)Optimal wind turbines placement within a distribution market environment., and . Appl. Soft Comput., 13 (10): 4038-4046 (2013)Improving Fault Ride-Through Capability of Variable Speed Wind Turbines in Distribution Networks., , , and . IEEE Syst. J., 7 (4): 713-722 (2013)Comparative Study of Shortterm Electricity Price Forecasting Models to Optimise Battery Consumption., , , , , , and . iThings/GreenCom/CPSCom/SmartData/Cybermatics, page 342-349. IEEE, (2020)A novel fuzzy system for wind turbines reactive power control., , , , and . FUZZ-IEEE, page 231-235. IEEE, (2011)Optimal allocation of wind turbines in microgrids by using genetic algorithm., , and . J. Ambient Intell. Humaniz. Comput., 4 (6): 613-619 (2013)Stochastic approach for active and reactive power management in distribution networks., , , , and . CoDIT, page 456-461. IEEE, (2017)