This letter introduces a robust generalized state estimator which is able to detect and reject gross measurement errors, parameter errors, and topology errors simultaneously. The solution is based on finding a consistent estimate which minimizes the total number of hypothesized gross errors. The problem is formulated as a mixed integer nonlinear program. A small-scale ac estimation example is given which illustrates some of the properties of the method
As a special case of the static state estimation problem, the load-flow problem is studied in this t...
The paper presents an optimization-based method for topology error detection in power systems. The m...
In this paper, we propose an optimal robust state estimator using maximum likelihood optimization wi...
This letter describes a robust state estimator based on the solution of a mixed integer program. A t...
An accurate and up-to-date grid topology is critical for situational awareness; however, switch stat...
Static state estimation is a fundamental tool for control and monitoring of electrical power systems...
Topology error, a modeling misrepresentation of the power system network configuration, can undermin...
One of the main foundations of conventional estimation algorithm (SE) is to assume that the network ...
State estimation plays an important role in modern power systems. The errors in the telemetered meas...
This paper introduces a two-level robust approach to estimate the unknown states of a large-scale po...
A closed-loop robust distribution state estimator was investigated. An approach that is suitable for...
Power system state estimation derives a real-time network model by extracting information from a red...
This paper presents an intelligent search strategy for the conforming bad data errors identification...
This work examines the statistical analysis of conventional and evolutionary strategies used to solv...
This paper is concerned with the power system state estimation problem, which aims to find the unkno...
As a special case of the static state estimation problem, the load-flow problem is studied in this t...
The paper presents an optimization-based method for topology error detection in power systems. The m...
In this paper, we propose an optimal robust state estimator using maximum likelihood optimization wi...
This letter describes a robust state estimator based on the solution of a mixed integer program. A t...
An accurate and up-to-date grid topology is critical for situational awareness; however, switch stat...
Static state estimation is a fundamental tool for control and monitoring of electrical power systems...
Topology error, a modeling misrepresentation of the power system network configuration, can undermin...
One of the main foundations of conventional estimation algorithm (SE) is to assume that the network ...
State estimation plays an important role in modern power systems. The errors in the telemetered meas...
This paper introduces a two-level robust approach to estimate the unknown states of a large-scale po...
A closed-loop robust distribution state estimator was investigated. An approach that is suitable for...
Power system state estimation derives a real-time network model by extracting information from a red...
This paper presents an intelligent search strategy for the conforming bad data errors identification...
This work examines the statistical analysis of conventional and evolutionary strategies used to solv...
This paper is concerned with the power system state estimation problem, which aims to find the unkno...
As a special case of the static state estimation problem, the load-flow problem is studied in this t...
The paper presents an optimization-based method for topology error detection in power systems. The m...
In this paper, we propose an optimal robust state estimator using maximum likelihood optimization wi...