A model-free distributed cooperative frequency control strategy for MT-HVDC systems using reinforcement learning method

DOI10.1016/J.JFRANKLIN.2021.06.011zbMath1470.93103OpenAlexW3171667322MaRDI QIDQ2047085

Zhi-Wei Liu, Zhong-Jie Hu, Chaojie Li, Xiong Hu, Tingwen Huang

Publication date: 19 August 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.06.011

Mathematics Subject Classification ID

Frequency-response methods in control theory (93C80) Iterative learning control (93B47)

Cites Work

• Unnamed Item
• An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems
• Cooperative frequency control with a multi-terminal high-voltage DC network
• An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs
• Multi-agent discrete-time graphical games and reinforcement learning solutions
• Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

This page was built for publication: A model-free distributed cooperative frequency control strategy for MT-HVDC systems using reinforcement learning method