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.
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🔍 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
Performance indices: ISE, ITAE, settling time, and peak overshoot
⚡ Key Simulation Highlights
✅ MATLAB/Simulink model of two-area LFC system
✅ Frequency deviation and tie-line power analysis
✅ Enhanced damping and reduced overshoot
✅ Intelligent hybrid optimization for better transient stability
✅ Suitable for renewable-integrated smart grid systems
🎓 Applications
Power system stability and control studies
Intelligent control design for modern smart grids
PhD, MTech, and BTech projects in Electrical and Control Engineering
Research in metaheuristic optimization, fuzzy logic, and renewable grid control
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⚡ Fuzzy Logic Controller Based Nine Level Boost Multilevel Inverter | MATLAB Simulink 📞 CONTACT & PROJECT SUPPORT 🔹 Website: https://www.matlabprojectscode.com 🔹 Email: matlabprojectscode@gmail.com 🔹 WhatsApp: +91 8300015425 This video presents a Fuzzy Logic Controller (FLC)–based Nine Level Boost Multilevel Inverter with a novel switching control strategy using MATLAB Simulink. The proposed model achieves high voltage gain, reduced total harmonic distortion (THD), and improved dynamic performance compared with conventional PWM-based multilevel inverters. The simulation demonstrates how intelligent fuzzy control combined with a novel switching algorithm enhances inverter efficiency, output voltage quality, and power conversion performance—making it highly suitable for renewable energy systems and electric vehicle applications. 🔍 Key Highlights ✔ Nine-level boost multilevel inverter topology ✔ Novel switching control strategy ✔ Fuzzy logic controller design (rule base ...
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