Load Frequency Control of Two-area Power System Using an Actor-Critic Reinforcement Learning Method-based Adaptive PID Controller
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244770/10244772/10245225.pdf?arnumber=10245225
Reference8 articles.
1. Deep reinforcement learning for power system applications: An overview;zhang;CSEE Journal of Power and Energy Systems,2019
2. Fast Stackelberg equilibrium learning for real-time coordinated energy control of a multi-area integrated energy system
3. A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids
4. Probabilistic Load Flow for Wind Integrated Power System Considering Node Power Uncertainties and Random Branch Outages
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4. Optimizing Fault Detection in Electric Power Load Management Systems: A Reinforcement Learning Approach for Prioritized Test Case Selection;2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR);2024-03-16
5. Application of Reinforcement Learning-Based Adaptive PID Controller for Automatic Generation Control of Multi-Area Power System;IEEE Transactions on Automation Science and Engineering;2024
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