Application of Expected Sarsa-Learning for Load Frequency Control of Multi-Area Power System
Author:
Affiliation:
1. National Institute of Technology,Dept. of Electrical and Electronics Engineering,Karnataka Surathkal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10201476/10201477/10201593.pdf?arnumber=10201593
Reference21 articles.
1. Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids
2. Hierarchical correlated Q-learning for multi-layer optimal generation command dispatch
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4. A novel multi-agent decentralized win or learn fast policy hill-climbing with eligibility trace algorithm for smart generation control of interconnected complex power grids
5. Retarded Sampled-Data Control Design for Interconnected Power System With DFIG-Based Wind Farm: LMI Approach
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1. A survey on load frequency control using reinforcement learning-based data-driven controller;Applied Soft Computing;2024-11
2. Automatic generation control of is-landed micro-grid using integral reinforcement learning-based adaptive optimal control strategy;Electrical Engineering;2024-09-02
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