Non-linear state recovery in power system under bad data and cyber attacks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Modern Power Systems and Clean Energy"
DOI: 10.1007/s40565-019-0561-2
Abstract: The problems of recovering the state of power systems and detecting the instances of bad data have been widely studied in literature. Nevertheless, these two operations have been designed and optimized for the most part… read more here.
Keywords: bad data; power; state estimators; state ... See more keywords
A new unified approach for the state estimation and bad data analysis of electric power transmission systems with multi-terminal VSC-based HVDC networks
Sign Up to like & getrecommendations! Published in 2018 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2018.03.005
Abstract: Abstract The aim of this paper is the proposal of a static state estimation approach suitable for electric power transmission systems containing fully controlled multi-terminal high voltage direct current networks. An integrated electric circuit model… read more here.
Keywords: state; multi terminal; bad data; electric power ... See more keywords
Bad Data Detection in the Context of Leverage Point Attacks in Modern Power Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/pesgm.2017.8274244
Abstract: This paper demonstrates a concept to detect bad data in state estimation when the leverage measurements are tampered with gross error. The concept is based on separating leverage measurements from non-leverage measurements by a technique… read more here.
Keywords: data detection; bad data; leverage measurements; power ... See more keywords
Distributed Kalman-Like Filtering and Bad Data Detection in the Large-Scale Power System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3119136
Abstract: This article investigates the distributed state estimation problem for large-scale power systems with the appearance of bad data. The power system is decomposed into several nonoverlapping agents and these agents interact with each other through… read more here.
Keywords: power system; power; data detection; measurement ... See more keywords
A Highly Efficient Bad Data Identification Approach for Very Large Scale Power Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2018.2826980
Abstract: The well-known largest normalized residual (LNR) test for bad data identification becomes computationally inefficient for large-scale power systems containing a large volume of bad data, given the fact that it identifies and removes bad measurements… read more here.
Keywords: power systems; bad data; lnr test; data identification ... See more keywords