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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Sensor Fault-Tolerant Control of Microgrid Using Robust Sliding-Mode Observer.

Ebrahim Shahzad1, Adnan Umar Khan1, Muhammad Iqbal2

  • 1Department of Electrical Engineering, FET, International Islamic University, Islamabad 44000, Pakistan.

Sensors (Basel, Switzerland)
|April 12, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel sliding-mode observer for diagnosing and managing sensor faults in microgrids. The developed fault-tolerant control system ensures stable operation despite various sensor anomalies.

Keywords:
H∞Lyapunov stabilityPI controlcurrent/potential transformerfault diagnosis and estimationfault-tolerant controllinear matrix inequalitiesmicrogridsrobust controlsliding mode observers

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Systems

Background:

  • Microgrids are susceptible to sensor faults affecting stability.
  • Existing fault diagnostic methods have limitations in handling multiple simultaneous faults.

Purpose of the Study:

  • To develop a robust sensor fault diagnostic and fault-tolerant control (FTC) strategy for voltage source converter-based microgrids.
  • To address simultaneous or individual faults in current and potential transformers.

Main Methods:

  • A sliding-mode observer (SMO) designed using a modified convex optimization algorithm.
  • H-Infinity constrained linear matrix inequalities for SMO gain determination.
  • Proportional-Integral (PI) control integrated with SMO for FTC.

Main Results:

  • Accurate estimation of sensor faults (magnitude, phase, harmonics) and disturbances.
  • Demonstrated stability and finite-time reachability of the observer.
  • Effective fault-tolerant control performance maintaining microgrid stability during faults.

Conclusions:

  • The proposed SMO-based FTC system effectively diagnoses and compensates for sensor faults in microgrids.
  • The method enhances microgrid reliability and operational stability.
  • The approach is adaptable for various sensor types beyond transformers.