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Related Experiment Video

Updated: Jan 12, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Data-driven dual-channel dynamic event-triggered load frequency control for multiarea power systems with uniform

Yuhao Chen¹, Huarong Zhao¹, Masaki Ogura²

¹Engineering Research Center of Internet of Things Applications Ministry of Education, Jiangnan University, Wuxi, Jiangsu, China.

Science Progress

|October 30, 2025

Summary

This study introduces a novel data-driven load frequency control (LFC) strategy for power systems, addressing communication limits and data quantization. The dual-channel event-triggered approach enhances control accuracy while reducing system burden.

Keywords:

Load frequency control data-driven design encoding and decoding mechanism event-triggered control model-free adaptive control uniform quantizer

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Area of Science:

Electrical Engineering
Control Systems
Power Systems

Background:

Interconnected power systems face challenges in load frequency control (LFC) due to data quantization and limited communication resources.
Existing LFC strategies struggle with efficiency and accuracy under these constraints.

Purpose of the Study:

To develop a robust and efficient LFC strategy for multiarea power systems overcoming data quantization and communication limitations.
To enhance tracking accuracy and reduce communication/computational overhead in LFC.

Main Methods:

A model-free adaptive control (MFAC) based strategy using dual-channel dynamic event-triggering mechanisms.
Integration of proportional, differential, and quadratic difference terms for improved tracking.
A novel encoding-decoding scheme to mitigate data quantization effects.

Main Results:

The proposed strategy relies solely on input-output data, ensuring asymptotic tracking performance.
Event-triggering mechanisms significantly reduce communication and computational loads.
Simulations demonstrate the effectiveness and feasibility of the quantized control strategy.

Conclusions:

The developed dual-channel dynamic event-triggered, data-driven LFC strategy effectively addresses quantization and communication constraints.
The approach offers a promising solution for accurate and efficient LFC in modern power systems.