This letter presents a comparative study between twomethods for estimating the uncertainty interval in power system state estimation. Constrained nonlinear and linear formulations are proposed to estimate the tightest possible upper and lower bounds on the states. The study compares the performance of these methods in terms of estimating the bounds of the uncertainty interval. In addition,an assessment of time performance for both methods is carried out with varying measurement redundancy levels
The following report examines the impact that parameter and model errors have on the result of the p...
In most applications in control engineering a measurement of all state variables is either impossibl...
State estimation plays an important role in modern power systems. The errors in the telemetered meas...
A method for uncertainty analysis in power system state estimation is proposed. The two-step method ...
A method to assign weights to the measurements obtained through phasor measurement units (PMUs) in a...
The accurate monitoring and control of power systems relies heavily on the power system topology, th...
From electrical power systems to meteorology, large-scale state-space monitoring and forecasting met...
This paper investigates how the efficiency of Weighted Least Squares (WLS) State Estimation changes ...
An enormous challenge for state estimation (SE) in power distribution networks with high penetration...
This paper introduces a two-level robust approach to estimate the unknown states of a large-scale po...
Distribution system state estimation (DSSE) tools are required to estimate the real operating condit...
This thesis investigates the treatment of aposteriori and apriori uncertainties in power system plan...
Power system state estimation has been introduced over four decades ago and since then has become an...
This work examines the statistical analysis of conventional and evolutionary strategies used to solv...
Power system state estimation (PSSE) is an energy management system function responsible for the com...
The following report examines the impact that parameter and model errors have on the result of the p...
In most applications in control engineering a measurement of all state variables is either impossibl...
State estimation plays an important role in modern power systems. The errors in the telemetered meas...
A method for uncertainty analysis in power system state estimation is proposed. The two-step method ...
A method to assign weights to the measurements obtained through phasor measurement units (PMUs) in a...
The accurate monitoring and control of power systems relies heavily on the power system topology, th...
From electrical power systems to meteorology, large-scale state-space monitoring and forecasting met...
This paper investigates how the efficiency of Weighted Least Squares (WLS) State Estimation changes ...
An enormous challenge for state estimation (SE) in power distribution networks with high penetration...
This paper introduces a two-level robust approach to estimate the unknown states of a large-scale po...
Distribution system state estimation (DSSE) tools are required to estimate the real operating condit...
This thesis investigates the treatment of aposteriori and apriori uncertainties in power system plan...
Power system state estimation has been introduced over four decades ago and since then has become an...
This work examines the statistical analysis of conventional and evolutionary strategies used to solv...
Power system state estimation (PSSE) is an energy management system function responsible for the com...
The following report examines the impact that parameter and model errors have on the result of the p...
In most applications in control engineering a measurement of all state variables is either impossibl...
State estimation plays an important role in modern power systems. The errors in the telemetered meas...