Electric power system state estimation

By A. Monticelli. 2000

799 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

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Citations in the corpus

A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “4) State estimation The aim of state estimation of power systems is to provide a global perspective of the grid for specific automation and control purposes [99, 100].”
Distributed Robust Power System State Estimation (2012, result): “Switching to the IEEE 118-bus benchmark, similar results are observed.”
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (2020, methodology): “:3) x using WLS estimation, the following problem must be solved [44]: where represents the weight for the measurement z i , W ∈ R n × n is a diagonal matrix composed of the weights w i , and n is the total number of measurements.”
Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks (2018, background): “Furthermore, the convergence is not guaranteed [33].”
A Constrained Formulation for Hybrid State Estimation (2011, methodology): “State estimation with equality constraints has been used when dealing with null power injections [10], [11].”
High-Level Penetration of Renewable Energy Sources Into Grid Utility: Challenges and Solutions (2020, methodology): “Several mathematical programming methods are used to solve optimization problems such as UC, ED, optimal power flow, and state estimation [197].”
Vulnerability Assessment of AC State Estimation With Respect to False Data Injection Cyber-Attacks (2012, methodology): “We provide a method to find attack points that satisfy the above attack criteria, based on analysis of the grid topology and on the implications given by the power balance equations that can be applied to both dc and ac state estimation.”
On Security Indices for State Estimators in Power Networks (2010, methodology): “The focus of this work is on the state estimator and its so-called Bad Data Detection (BDD) system that is used to remove faulty data, see [2], [3], [5].”
Stealth Attacks and Protection Schemes for State Estimators in Power Systems (2010, background): “Much more complete presentations are found in [1], [2], for example.”
A two steps procedure in state estimation gross error detection, identification, and correction (2015, methodology): “where Rrui is the ith column of the residual covariance matrix Rr , as in the largest normalized residual test of [2].”
Cyber security analysis of state estimators in electric power systems (2010, methodology): “B AD D ATA D ETECTION The measurements used in PSSE may be corrupted by random errors and so a necessary security capability of the PSSE is BDD [11], [12], [10].”
Power systems data fusion based on belief propagation (2017, methodology): “In power systems state estimation, a relation of the type in (1) is used to relate the data available from SCADA to a state variable, usually defined as the set of voltage magnitudes and phase angles at the network buses in a bus-branch model, through power flow equations [5], [6].”
Malicious Data Attacks on the Smart Grid (2011, methodology): “We note that the proposed detector has a different structure from those used in conventional bad data detectors which usually employ a test on the state estimator residue errors [8]–[10].”
State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid (2012, background): “A good treatment of this topic and the related important references can be found in [3].”