Decentralized Sensor Fault-Tolerant Control of DC Microgrids Using the Attracting Ellipsoid Method

Area of Science:

• Electrical Engineering
• Control Systems Engineering
• Power Systems

Background:

• Microgrid system stability is often compromised by unpredictable faults and equipment failures.
• Robust control techniques are increasingly employed to mitigate these stability issues in microgrids.
• Sensor faults pose a significant challenge to the reliable operation of DC-islanded microgrids.

Purpose of the Study:

• To develop a novel passive fault-tolerant control (PFTC) strategy for DC-islanded microgrids experiencing sensor faults.
• To ensure system stability and operational reliability in the presence of various faults, including sensor and actuator failures.
• To provide a control approach effective even when faults are unrecognized or their exact nature is uncertain.

Main Methods:

• The study employs a passive fault-tolerant control strategy designed using linear matrix inequalities (LMIs).
• The attractive ellipsoid technique is utilized for ellipsoidal stabilization, confining state trajectories within a defined region.
• A sufficient condition for stability is derived within the LMI framework.

Main Results:

• The proposed PFTC strategy effectively maintains system stability under sensor fault conditions.
• The control approach demonstrates robustness against uncertainties in fault dynamics.
• Computational studies on a DC microgrid system validate the effectiveness of the proposed method.

Conclusions:

• The developed passive fault-tolerant control strategy significantly enhances the reliability and efficiency of DC-islanded microgrids.
• The LMI and attractive ellipsoid techniques provide a robust framework for addressing sensor faults.
• The proposed method offers a promising solution for improving the resilience of microgrid systems.