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Genetic Algorithm Based Low Voltage Ride Strategy
The authors are commended for their effort in presenting an interesting control scheme for enhancement of low voltage ride-through (LVRT) capability of wind turbines with doubly fed induction generator (DFIG). A fuzzy controller, tuned by genetic algorithm, is proposed.
Related Genetic Algorithm Project Titles:
- Closure to Discussion on “A Genetic Algorithm-Based Low Voltage Ride-Through Control Strategy for Grid Connected Doubly Fed Induction Wind Generators”.
- Optimizing Template for Lookup-Table Inverse Halftoning using Elitist Genetic Algorithm.
- Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People.
- Optimal scheduling for maintenance period of generating units using a hybrid scatter-genetic algorithm.
- Optimal Electromagnetic Design of a Nonsalient Magnetic-Cored Superconducting Synchronous Machine Using Genetic Algorithm.
- A Genetic-Algorithm-Based Approach to Solve Carpool Service Problems in Cloud Computing.
- ASMiGA: An Archive-Based Steady-State Micro Genetic Algorithm.
- Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization.
- Magnetic Material Group Furnace Problem Modeling and the Specialization of the Genetic Algorithm.
- Polarization-Engineered High-Efficiency GaInN Light-Emitting Diodes Optimized by Genetic Algorithm.
- Real coded genetic algorithm approach with random transfer vectors-based mutation for short-term hydro–thermal scheduling.
- Empirical Forecasting of HF-Radar Velocity Using Genetic Algorithms.
- Characteristics Optimization of the Maglev Train Hybrid Suspension System Using Genetic Algorithm.
- Electric Vehicle Route Optimization Considering Time-of-Use Electricity Price by Learnable Partheno-Genetic Algorithm.
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