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Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
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Related Experiment Video

Updated: Sep 4, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Event-triggering load frequency control for multi-area power system based on random dynamic triggering mechanism and

Xingyue Liu1, Kaibo Shi2, Changyou Ma3

  • 1School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu, 610106, PR China.

ISA Transactions
|July 17, 2022
PubMed
Summary
This summary is machine-generated.

A new event-triggering load frequency control (LFC) strategy using a random dynamic triggering algorithm (RDTA) enhances multi-area power system stability by addressing sampling and transmission delays (STD). This advanced approach improves system performance and reliability.

Keywords:
Advanced Lyapunov–Krasovskii functionalEvent-triggering load frequency controlMulti-area load frequency control systemRandom dynamic triggering algorithmTwo-side closed functional

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Systems

Background:

  • Load frequency control (LFC) is crucial for maintaining stable power grids.
  • Existing LFC strategies often overlook the impact of sampled-data mechanisms and transmission delays.
  • Parameter disturbances and dynamic threshold adjustments are key challenges in LFC design.

Purpose of the Study:

  • To develop a novel event-triggering LFC strategy for multi-area power systems.
  • To incorporate sampled-data mechanisms and transmission delays (STD) into the LFC model.
  • To enhance stability criteria for improved system performance.

Main Methods:

  • An improved multi-area LFC model considering simultaneous sampling and transmission delay (STD).
  • A modified event-triggering mechanism (ETM) utilizing a random dynamic triggering algorithm (RDTA) with dynamic threshold adjustment.
  • Construction of an advanced Lyapunov-Krasovskii functional (LKF) with delay-dependent matrices and variable cross terms.

Main Results:

  • Two less conservative stability criteria were derived using the designed approach.
  • The proposed event-triggering LFC strategy effectively manages parameter disturbances.
  • The RDTA-based ETM demonstrates superior performance in stabilizing multi-area power systems.

Conclusions:

  • The developed event-triggering LFC strategy offers a significant advancement for multi-area power systems.
  • The approach provides more accurate stability analysis by considering STD.
  • The RDTA enhances the robustness and efficiency of the LFC system.