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Related Concept Videos

Load-frequency control01:28

Load-frequency control

269
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
269
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

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Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
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There are several methods to control power flow in power systems:
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Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

185
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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Turbine-Governor Control01:17

Turbine-Governor Control

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Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
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Self-triggered load frequency control using T-S fuzzy ADP method for unknown power systems.

Zhongyang Ming1, Huaguang Zhang1, Jiayue Sun1

  • 1College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, 110004, China.

ISA Transactions
|May 27, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel self-triggered control approach for load frequency control (LFC) in power grids. The method enhances power system stability by effectively managing frequency oscillations caused by renewable energy integration and demand fluctuations.

Keywords:
Adaptive dynamic programmingLoad frequency controlMulti-agent systemSelf-triggered control

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Systems

Background:

  • Interconnected power systems face frequency oscillations due to renewable energy variability and load changes.
  • Load frequency control (LFC) is critical for maintaining power grid stability and security.
  • Existing event-triggered control (ETC) methods require continuous monitoring, posing communication challenges.

Purpose of the Study:

  • To propose a novel self-triggered control (STC) based adaptive dynamic programming (ADP) framework for LFC in multi-area power systems.
  • To address limitations of ETC by developing an STC mechanism that reduces communication load.
  • To enhance power system stability and frequency regulation under uncertainties.

Main Methods:

  • Developed an H∞ distributed controller using a multi-agent system (MAS) model to handle parameter uncertainties and disturbances.
  • Integrated fuzzy logic systems (FLSs) within the adaptive dynamic programming (ADP) framework.
  • Proposed a novel self-triggered control (STC) mechanism that calculates future measurement needs based on the current state, avoiding continuous monitoring.

Main Results:

  • The proposed STC-based ADP framework effectively regulates frequency in multi-area power systems.
  • The H∞ distributed controller successfully mitigates parameter uncertainties and load disturbances.
  • Simulations confirmed the approach's effectiveness in frequency regulation under challenging conditions.

Conclusions:

  • The novel self-triggered control adaptive dynamic programming approach offers an effective solution for load frequency control in multi-area power systems.
  • This method enhances communication efficiency and power system stability.
  • The proposed framework is robust against parameter uncertainties and load disturbances.