🚀 Watermark-Aided Residual-Aware Adaptive Event-Triggered Sliding Mode Control (RAA-AET-SMC) is a cutting-edge control strategy for securing PV inverters in modern power systems against false-data injection (FDI) attacks. In this video, we demonstrate a MATLAB/Simulink simulation on the IEEE-14 Bus test system, showing how adaptive sliding mode control and watermarking ensure resilience, stability, and cyber-security.
📦 Get Project Files / Assignment Help
🌐 Website: www.matlabprojectscode.com
📱 WhatsApp: https://wa.me/+918300015425
📧 Email: matlabprojectscode@gmail.com
🔋 Key Contributions:
PV inverter modeling on the IEEE-14 Bus
Adaptive event-triggered sliding mode control for robustness
Watermark-aided detection against false-data injection (FDI)
Improved system resilience, stability, and reduced communication load
🌍 Target Audience:
This video is designed for PhD & MSc students, researchers, and engineers worldwide—especially those in UK, Australia, USA, India, UAE, and Europe—working on:
Renewable energy systems & PV inverters
Smart grid cyber-security & false-data detection
Adaptive/robust control strategies (SMC, event-triggered methods)
IEEE bus test system simulations for thesis/research
📊 What you’ll learn:
✅ How watermark-aided residual-aware control works
✅ Defense against cyber-attacks on smart grids
✅ Simulation results for PV inverter stability
✅ Research insights for thesis & publications
👉 Don’t forget to Like 👍 | Share 🔄 | Subscribe 🔔 for more research-level MATLAB/Simulink projects, control systems, and renewable energy simulations.
#SmartGrid #PVInverter #SlidingModeControl #CyberSecurity
Two-Area Load Frequency Control (LFC) using Grey Wolf Fuzzy-PID Controller | MATLAB Simulink Simulation This video presents the modeling and simulation of a Two-Area Power System Load Frequency Control (LFC) using an intelligent hybrid controller — the Grey Wolf Optimization (GWO) tuned Fuzzy-PID Controller implemented in MATLAB/Simulink. The proposed controller improves dynamic performance, frequency stability, and tie-line power oscillation damping compared to conventional PID and Fuzzy controllers. 👨💻 Project Support 🌐 www.matlabprojectscode.com 📧 matlabprojectscode@gmail.com 📱 WhatsApp: +91 8300015425 🔍 Topics Covered Modeling of two-area interconnected thermal power system Governor, turbine, and tie-line power flow representation Fuzzy logic controller for adaptive gain tuning Grey Wolf Optimization (GWO) algorithm for optimal PID parameter selection Simulation of load disturbances and system response Comparison of PID, Fuzzy-PID, and GWO-Fuzzy-PID controllers Performa...
Comments
Post a Comment