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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...
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A harmony search-based H-infinity control method for islanded microgrid.

Bishoy E Sedhom1, Magdi M El-Saadawi1, Mostafa A Elhosseini2

  • 1Department of Electrical Engineering, Mansoura University, Mansoura, Egypt.

ISA Transactions
|November 18, 2019
PubMed
Summary
This summary is machine-generated.

A new Harmony Search (HS) based H-infinity (H∞) controller improves autonomous microgrid voltage and frequency regulation. This advanced control enhances power quality and outperforms model predictive control (MPC).

Keywords:
Frequency controlH-infinityHarmony searchMicrogridPower qualityVoltage control

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Renewable Energy Systems

Background:

  • Conventional droop control in microgrids faces challenges in precise voltage and frequency regulation.
  • Enhancing autonomous microgrid (MG) power quality requires advanced control strategies.
  • Existing methods like model predictive control (MPC) have limitations in certain applications.

Purpose of the Study:

  • To introduce a novel Harmony Search (HS) optimized H-infinity (H∞) controller for microgrids.
  • To improve the performance of voltage/frequency (V/F) controllers in autonomous MGs.
  • To enhance the power quality and stability of microgrids.

Main Methods:

  • Development of a Harmony Search (HS) algorithm to tune H-infinity (H∞) controller parameters.
  • Implementation of the proposed HS-based H∞ controller for V/F regulation in MGs.
  • Comparative analysis with conventional droop control and model predictive control (MPC) techniques.

Main Results:

  • The HS-based H∞ controller effectively regulates voltage and frequency to their rated values.
  • Significant improvements in microgrid power quality were observed using the proposed controller.
  • The proposed controller demonstrated superior performance compared to MPC in simulation studies.

Conclusions:

  • The proposed HS-based H∞ control method offers a promising advancement over conventional droop control for microgrids.
  • This approach enhances autonomous microgrid stability and power quality.
  • The controller's effectiveness is validated through comparisons with established control techniques.