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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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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Sine augmented scaled arithmetic optimization algorithm for frequency regulation of a virtual inertia control based

Rajendra Kumar Khadanga1, Deepa Das2, Amit Kumar3

  • 1Department of Electrical and Electronics Engineering, Centurion University of Technology and Management, Bhubaneswar 761008, Odisha, India.

ISA Transactions
|March 10, 2023
PubMed
Summary
This summary is machine-generated.

Maintaining frequency stability in renewable energy microgrids is crucial. This study introduces a novel Sine augmented scaled arithmetic optimization algorithm to tune PID controllers, enhancing microgrid stability by mitigating oscillations caused by phase-locked loops.

Keywords:
Frequency stability controlMicrogridMultistage-PID controllerPhase-locked loop (PLL)Sine augmented scaled arithmetic optimization (SCA-AOA) algorithmVirtual inertia control (VIC)

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Area of Science:

  • Electrical Engineering
  • Power Systems Engineering

Background:

  • Renewable energy sources (RES) in microgrids present significant frequency stability challenges.
  • Virtual inertia control (VIC) is essential for AC microgrids, relying on phase-locked loops (PLLs) for frequency data.
  • PLL implementation can introduce undesirable frequency oscillations due to system dynamics.

Purpose of the Study:

  • To address frequency stability issues in RES-based microgrids.
  • To propose a novel Sine augmented scaled arithmetic optimization algorithm for tuning a multistage proportional integral derivative (PID) controller.
  • To improve microgrid stability by mitigating frequency oscillations.

Main Methods:

  • Implementation of a multistage proportional integral derivative (PID) controller to restrict undesirable frequency measurements.
  • Development and application of a novel Sine augmented scaled arithmetic optimization algorithm for PID parameter tuning.
  • Validation through contrastive simulation results under various system conditions.

Main Results:

  • The proposed Sine augmented scaled arithmetic optimization algorithm effectively tunes PID controller parameters.
  • The optimized PID controller successfully restricts undesirable frequency measurements, enhancing microgrid stability.
  • Simulations demonstrate the effectiveness of the proposed method under changing system boundaries and varying RES penetration levels.

Conclusions:

  • The novel optimization algorithm provides an effective solution for tuning PID controllers in RES-based microgrids.
  • The enhanced control strategy significantly improves microgrid frequency stability.
  • The methodology offers a robust approach for managing microgrids with high RES integration.