Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Cody Ruben"'
Autor:
Allen Starke, Keerthiraj Nagaraj, Cody Ruben, Nader Aljohani, Sheng Zou, Arturo Bretas, Janise McNair, Alina Zare
Publikováno v:
IET Smart Grid, Vol 5, Iss 6, Pp 398-416 (2022)
Abstract Smart Grid (SG) research and development has drawn much attention from academia, industry and government due to the great impact it will have on society, economics and the environment. Securing the SG is a considerably significant challenge
Externí odkaz:
https://doaj.org/article/11f344a14b884bab8dad61f1a576fb4f
Autor:
Rodrigo D. Trevizan, Cody Ruben, Aquiles Rossoni, Surya C. Dhulipala, Arturo Bretas, Newton G. Bretas
Publikováno v:
Electricity, Vol 2, Iss 4, Pp 423-438 (2021)
Simultaneous real-time monitoring of measurement and parameter gross errors poses a great challenge to distribution system state estimation due to usually low measurement redundancy. This paper presents a gross error analysis framework, employing μP
Externí odkaz:
https://doaj.org/article/9b20811de9354fafbd03af37bc2bb2ed
Autor:
Keerthiraj Nagaraj, Sheng Zou, Cody Ruben, Surya Dhulipala, Allen Starke, Arturo Bretas, Alina Zare, Janise McNair
Publikováno v:
IET Smart Grid (2020)
Smart grid (SG) systems are designed to leverage digital automation technologies for monitoring, control and analysis. As SG technology is implemented in increasing number of power systems, SG data becomes increasingly vulnerable to cyber-attacks. Cl
Externí odkaz:
https://doaj.org/article/183943919738413a9cc9fa66b37c4759
Autor:
Cody Ruben, Surya Dhulipala, Keerthiraj Nagaraj, Sheng Zou, Allen Starke, Arturo Bretas, Alina Zare, Janise McNair
Publikováno v:
IET Smart Grid (2019)
This study presents a hybrid data-driven physics model-based framework for real-time monitoring in smart grids. As the power grid transitions to the use of smart grid technology, it's real-time monitoring becomes more vulnerable to cyber-attacks like
Externí odkaz:
https://doaj.org/article/7a25c69e407f4828b39c173ff4871552
Autor:
Tierui Zou, Nader Aljohani, Keerthiraj Nagaraj, Sheng Zou, Cody Ruben, Arturo Bretas, Alina Zare, Janise McNair
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 8074 (2021)
Concerning power systems, real-time monitoring of cyber–physical security, false data injection attacks on wide-area measurements are of major concern. However, the database of the network parameters is just as crucial to the state estimation proce
Externí odkaz:
https://doaj.org/article/19915b666dcf4cddbfb43678dc3a321c
Autor:
Keerthiraj Nagaraj, Janise McNair, Arturo S. Bretas, Sheng Zou, Cody Ruben, Nader Aljohani, Tierui Zou, Alina Zare
Publikováno v:
Applied Sciences
Volume 11
Issue 17
Applied Sciences, Vol 11, Iss 8074, p 8074 (2021)
Volume 11
Issue 17
Applied Sciences, Vol 11, Iss 8074, p 8074 (2021)
Concerning power systems, real-time monitoring of cyber–physical security, false data injection attacks on wide-area measurements are of major concern. However, the database of the network parameters is just as crucial to the state estimation proce
Autor:
Geraldo Caixeta Guimarães, Raoni Florentino da Silva Teixeira, Surya Chandan Dhulipala, Arturo S. Bretas, Raul Vitor Arantes Monteiro, Cody Ruben
Publikováno v:
IEEE Transactions on Industry Applications. 55:7041-7051
Volt/VAR control (VVC) techniques may be used for purposes such as technical loss reduction, voltage profile improvement, and conservation voltage reduction. The advent of distributed energy resources (DERs) at distribution and consumer levels impose
Autor:
Janise McNair, Nader Aljohani, Keerthiraj Nagaraj, Sheng Zou, Alina Zare, Arturo S. Bretas, Cody Ruben
Publikováno v:
2020 52nd North American Power Symposium (NAPS).
In the modern Smart Grid (SG), cyber-security is an increasingly important topic of research. An attacker can mislead the State Estimation (SE) process through a False Data Injection (FDI) on real-time measurement values or they can attack the parame
Publikováno v:
2020 52nd North American Power Symposium (NAPS).
Demand side management (DSM) is the modulation of consumers' energy demand to ameliorate the power network at the consumer side. In case of contingency which leads to frequency falling below a preset value, traditional methods like load shedding, whi
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
This paper presents a correction model for malicious, unbalanced parameter false data injection cyber-attacks. Current state-of-art solutions can detect, identify and correct balanced parameter false data injection cyber-attacks. Thus, they consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62c9a1f04cd3a74a4579a65f6900b8e8