New methods that exploit sparse structures arising in smart grid networks are proposed for
the state estimation problem when data injection attacks are present. First, construction …

Power system state estimation is the important module in monitoring the power system
network. The state estimator provides states of the power system by processing the …

A method is proposed to reconstruct and track network state from a limited number of phasor
measurement unit (PMU) data. To deal with the resulting unobservability, the state with bus …

This paper presents a decentralized state estimation (SE) for the newly emerging hybrid
ac/dc microgrid. The microgrid consists of an ac and a dc network which are connected via …

This paper considers the problem of estimating the states in an unobservable power system,
where the number of measurements is not sufficiently large for conventional state estimation …

In this paper, a new robust LWS (least winsorized square) estimator is proposed for dynamic
state estimation of a power system. One of the main advantages of this estimator is that it has …

Hybridising of different optimisation techniques provides a scope to improve global
exploration capability of the resulting method. In this study, an enhanced differential …

In this paper, an algorithm based on Least-Square Method (LSM), Newton-Raphson Method
(NRM) and Modal Assurance Criterion (MAC) was developed to update Near-Real-Time …

State estimation (SE) is based on an iterative process for solving weighted least squares
(WLS) via the so‐called normal equations (NE). This process is prone to numerical instability …

State estimation is an important tool for system operators, which determine the state of the
system and accordingly act for control and operate the system. Ill conditioned system is a …