Machine Learning-based LFC Modelling for Solar and Wind Power Plant
Author:
Affiliation:
1. Rajalakshmi Engineering College,Department of EEE,Chennai,India
2. St.Joseph College of Engineering,Department of EEE,Chennai,India
3. M.P.Nachimuthu M.Jaganathan Engineering College,Department of EEE,Chennimalai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10192573/10192581/10193006.pdf?arnumber=10193006
Reference26 articles.
1. Restructured LFC Scheme with Renewables and EV Penetration using Novel QOEA Optimized Parallel Fuzzy I-PID Controller
2. Efficient Load Frequency Control of Renewable Integrated Power System: A Twin Delayed DDPG-Based Deep Reinforcement Learning Approach
3. Artificial Neural Networks Based Optimization Techniques: A Review
4. Salp swarm algorithm‐based fractional‐order PID controller for LFC systems in the presence of delayed EV aggregators
5. Frequency regulation of hybrid multi-area power system using wild horse optimizer based new combined Fuzzy Fractional-Order PI and TID controllers
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