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
Topology Error Monitoring Using Bad Data Detection Methods
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/tia.2023.3321029
Abstract: For real-time monitoring of distribution systems, distribution system state estimation (DSSE) methods have been developed. For accurate DSSE results, an accurate system model is needed. However, topology of a distribution network changes due to various… read more here.
Keywords: detection; data detection; topology error; bad data ... 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
Data-Driven Multi-Mode Adaptive Operation of Soft Open Point With Measuring Bad Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2024.3351135
Abstract: The high penetration of distributed generators (DGs) deteriorates the uncertainty of active distribution networks (ADNs). Soft open points (SOPs) can effectively improve flexibility and deal with operational issues in ADNs. However, the formulation of SOP… read more here.
Keywords: soft open; multi mode; driven multi; data driven ... See more keywords
Bad data identification method considering the on-load tap changer model
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Energy Research"
DOI: 10.3389/fenrg.2024.1478834
Abstract: With the connection and integration of renewable energy, the on-load tap-changer (OLTC) has become an important device for regulating voltage in distribution networks. However, due to non-smooth and non-linear characteristics of OLTC, traditional bad data… read more here.
Keywords: bad data; model; load tap; data identification ... See more keywords