Dat Nguyen Chi

Mr. Dat Nguyen Chi


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 March 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
TDTuan Huy Dao
Tuan Huy Dao
VTVan Nguyen Ngoc Thanh
Van Nguyen Ngoc Thanh
DCDat Nguyen Chi
Dat Nguyen Chi
VPVan Huy Pham
Van Huy Pham
In modern power systems, fluctuations in load present ongoing challenges, making Load frequency control (LFC) an essential part of maintaining system stability and efficiency. This paper explores a method that combines traditional PID control with the Particle Swarm Optimization (PSO) algorithm to improve frequency regulation in interconnected hydropower systems. By using PSO, the method fine-tunes the PID controller parameters, enhancing frequency regulation, accelerating stabilization, and ensuring steady power flow across interconnecting lines. The simulation results show that this optimized method outperforms the conventional techniques, offering improved dynamic responses and a more robust performance, even in challenging and variable conditions. This makes it a promising solution for modern power systems, particularly in managing load fluctuations and maintaining frequency stability in interconnected hydropower systems.