Authors:
P. Srinivasan, K. Arulvendhan, M. Mohamed Sameer Ali, Fatma Bassyouni
Addresses:
Department of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai, Tamil Nadu, India. Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Research and Development, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Chemistry of Natural and Microbial Products, National Research Centre, Dokki, Cairo, Egypt.
This work presents an effective optimisation framework to improve Fault Ride-Through (FRT) performance of Doubly-Fed Induction Generator (DFIG)-based Wind Energy Conversion Systems using the Fractional Order Darwinian Particle Swarm Optimisation (FODPSO) technique. The performance improvement strategy uses the FODPSO technique and various grid-support schemes, such as Series Transformer Fault Current Limiter (STFCL), Superconducting Magnetic Energy Storage (SMES), Dynamic Voltage Restorer (DVR), and the SVPWM control strategy for the inverter. In the FODPSO method, particle dynamics are enhanced via fractional-order dynamics, leading to faster convergence. A simulation study indicates that the FODPSO strategy reduces Total Harmonic Distortion, improves Transient stability, and provides faster response times than PI, FLC, PSO-FLC, ANFIS-GA-PSO, ALO-RNN, and the standard DVR-based control strategy. Based on the simulation study, the proposed control strategy maintains grid voltage stability, reduces rotor overcurrent, and maintains constant DC link voltages. In both symmetric and asymmetrical faults, the performance improvement strategy stabilises grid voltages, reduces rotor currents, and maintains constant DC link voltages. In addition, the FODPSO and the SVPWM control strategy provide effective reactive control and continuous connection capabilities for the wind turbine during severe low-voltage dips.
Keywords: System Reliability; Voltage Stability; Fault Ride-Through (FRT); Electromagnetic Torque Ripples; Grid-Support Scheme; Dynamic Voltage Restorer (DVR); Simulation Study.
Received on: 12/11/2024, Revised on: 16/01/2025, Accepted on: 15/03/2025, Published on: 14/09/2025
DOI: 10.69888/FTSESS.2025.000542
FMDB Transactions on Sustainable Environmental Sciences, 2025 Vol. 2 No. 3, Pages: 161-170