Set-Membership Global Estimation of Networked Systems.

Area of Science:

• Control Systems Engineering
• Networked Systems
• Estimation Theory

Background:

• Networked systems face challenges with unknown process and measurement noise.
• Distributed systems require robust state estimation for reliable operation.
• Set-membership estimation offers guaranteed bounds on state uncertainty.

Purpose of the Study:

• To develop a set-membership global estimation approach for networked systems with bounded noise.
• To improve the accuracy of state estimation in distributed systems through a novel global approach.
• To apply the developed estimation technique for fault detection in distributed generation systems.

Main Methods:

• Deployment of local set-membership estimators for initial state estimation.
• A global estimation strategy to compute a trace-maximal ellipsoid from local estimates.
• Derivation of conditions for global estimation under complete and incomplete data transmission.
• Application to a modified distributed photovoltaic grid-connected generation system.

Main Results:

• The proposed global estimation approach refines local estimates by considering the intersection of ellipsoidal sets.
• Sufficient conditions for effective global estimation were established for various communication scenarios.
• The method was validated on a distributed photovoltaic system, demonstrating its practical applicability.
• An islanding fault detection scheme was successfully derived from the global ellipsoidal estimate.

Conclusions:

• The set-membership global estimation approach effectively enhances state estimation accuracy in networked systems with bounded noise.
• The developed method provides a robust framework for monitoring and fault detection in distributed generation systems.
• The study confirms the practical utility and theoretical soundness of the proposed estimation technique.