H<sub>∞</sub>Optimal Load Frequency Control of Power System: A Novel Model-Free Approach

This brief addresses the model-free output feedback (OPFB) stability problem in load frequency control (LFC) of power system and proposes an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> optimal control scheme considering two-player zero-sum game. Firstly, a novel policy iteration algorithm is developed to determine the optimal control gain. The convergence of this algorithm can be established using Fréchet derivatives. Secondly, a model-free adaptive dynamic programming (ADP) algorithm is introduced, which leverages measured data to learn the optimal gain without relying on model parameters. Finally, simulation results confirm the feasibility of the proposed algorithm.

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Publication Details

Journal
IEEE Transactions on Circuits & Systems II Express Briefs
Published
2024-11-11
DOI
https://doi.org/10.1109/tcsii.2024.3495679
Citations
8
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
1.67

Funders

Controls
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article

H∞Optimal Load Frequency Control of Power System: A Novel Model-Free Approach

Shunwei Hu, Yanhong Luo, Xiangpeng Xie, Huaguang Zhang
8 citations
IEEE Transactions on Circuits & Systems II Express Briefs
Frequency Control in Power Systems
1.67
article

H∞Optimal Load Frequency Control of Power System: A Novel Model-Free Approach

Shunwei Hu, Yanhong Luo, Xiangpeng Xie, Huaguang Zhang
article en
8 citations

Abstract

This brief addresses the model-free output feedback (OPFB) stability problem in load frequency control (LFC) of power system and proposes an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> optimal control scheme considering two-player zero-sum game. Firstly, a novel policy iteration algorithm is developed to determine the optimal control gain. The convergence of this algorithm can be established using Fréchet derivatives. Secondly, a model-free adaptive dynamic programming (ADP) algorithm is introduced, which leverages measured data to learn the optimal gain without relying on model parameters. Finally, simulation results confirm the feasibility of the proposed algorithm.

IEEE Transactions on Circuits & Systems II Express BriefsVol. 72(1)
Nanjing University of Posts and Telecommunications (CN), Northeastern University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 15%
Frequency Control in Power Systems
1.67
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