his study proposes a two-sliding mode (SM) observer to detect and reconstruct a certain class of load altering faults in a power network. The observer design is based on the recently proposed multivariable super-twisting structure. The IEEE benchmark power networks used to test the scheme are modelled as a semi-explicit class of differential algebraic equations (DAEs). For the purpose of developing the detection scheme, only the phase angles of the generators are measured, which represent a subset of the differential states of the DAEs. The objective is to estimate the differential states (the phase angles and frequencies of the generators), the algebraic states (the phase angles of the load bus tensions) and to reconstruct a class of load ...
This paper proposes a new robust load frequency control (LFC) scheme for multiarea power systems bas...
In this paper, automatic fault diagnosis in large scale power networks described by second-order non...
With the massive growth of technologies used in the industry, more is expected from the control syst...
This is the author accepted manuscript. The final version is available from the publisher via the DO...
In this paper a novel distributed adaptive dual-layer super-twisting sliding mode observer-based sch...
This chapter presents a review of sliding-mode estimation techniques recently proposed by the author...
A scheme for on line fault detection in a power system is introduced in this paper. The scheme is ba...
An online fault detection scheme for a sample power system is introduced in this paper. The detectio...
The problem of local fault (unknown input) reconstruction for interconnected systems is addressed in...
A new technique for fault diagnosis and estimation of unknown inputs in a class of non-linear system...
In this paper, we design a model-based fault diagnosis scheme capable of real time detection of symm...
This paper deals with the design of a novel sliding mode observer-based scheme to estimate and recon...
In this paper, a second order sliding mode observer-based robust fault detection in uncertain nonlin...
In this paper, automatic fault diagnosis in large scale power networks described by second-order non...
peer reviewedIn this paper, automatic fault diagnosis in large scale power networks described by sec...
This paper proposes a new robust load frequency control (LFC) scheme for multiarea power systems bas...
In this paper, automatic fault diagnosis in large scale power networks described by second-order non...
With the massive growth of technologies used in the industry, more is expected from the control syst...
This is the author accepted manuscript. The final version is available from the publisher via the DO...
In this paper a novel distributed adaptive dual-layer super-twisting sliding mode observer-based sch...
This chapter presents a review of sliding-mode estimation techniques recently proposed by the author...
A scheme for on line fault detection in a power system is introduced in this paper. The scheme is ba...
An online fault detection scheme for a sample power system is introduced in this paper. The detectio...
The problem of local fault (unknown input) reconstruction for interconnected systems is addressed in...
A new technique for fault diagnosis and estimation of unknown inputs in a class of non-linear system...
In this paper, we design a model-based fault diagnosis scheme capable of real time detection of symm...
This paper deals with the design of a novel sliding mode observer-based scheme to estimate and recon...
In this paper, a second order sliding mode observer-based robust fault detection in uncertain nonlin...
In this paper, automatic fault diagnosis in large scale power networks described by second-order non...
peer reviewedIn this paper, automatic fault diagnosis in large scale power networks described by sec...
This paper proposes a new robust load frequency control (LFC) scheme for multiarea power systems bas...
In this paper, automatic fault diagnosis in large scale power networks described by second-order non...
With the massive growth of technologies used in the industry, more is expected from the control syst...