Adaptive Neural Data-Driven Learning Load Frequency Control for Nonlinear Power Systems with Repetitive Electric Loads

Author:

Hou Rui1,Jia Li1,Li Jianfang1,Zhou Chenyu1

Affiliation:

1. Shanghai University,School of Mechatronic Engineering and Automation,Shanghai,P. R. China,200444

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

IEEE

Reference18 articles.

1. Recent methodology based Harris Hawks optimizer for designing load frequency control incorporated in multi-interconnected renewable energy plants

2. Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning

3. Data-Driven Automatic Generation Control of Interconnected Power Grids subject to Deception Attacks;asadi;IEEE Internet of Things Journal,2022

4. Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks;qiu;IEEE Trans Neural Netw Learning Syst,2021

5. Robust Control Scheme for Distributed Battery Energy Storage Systems in Load Frequency Control

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