Zobrazeno 1 - 10
of 390
pro vyhledávání: '"Bad data detection"'
Autor:
Onyema Nduka
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109938- (2024)
The current monitoring of modern distribution networks by operators with the aim to improve the network visibility and thus detect and mitigate challenges such as power quality issues has resulted in massive data generation. Such data need to be anal
Externí odkaz:
https://doaj.org/article/e8fea9893c3a4ea8bb12e3d430dbc887
Publikováno v:
Dyna, Vol 91, Iss 231 (2024)
An active distribution network with a large amount of distributed energy resources (DER) requires knowledge of the operational status of the network. In this sense, state estimation is one of the most widely used techniques and a well-developed conce
Externí odkaz:
https://doaj.org/article/5737ebb22999477d91e244c5bd5f72e2
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 14, Iss 2, Pp 13-30 (2023)
Nowadays, using telecommunication systems and advanced measuring devices underlies cyberattacks on electrical grids. Bad data injection and failure to detect it on time, cause drastic damage to the network. This paper presents a new method for bad da
Externí odkaz:
https://doaj.org/article/54168b59b1a74866ad9348c9d4d06ab0
Publikováno v:
Protection and Control of Modern Power Systems, Vol 8, Iss 1, Pp 1-12 (2023)
Abstract State estimation plays a vital role in the stable operation of modern power systems, but it is vulnerable to cyber attacks. False data injection attacks (FDIA), one of the most common cyber attacks, can tamper with measurement data and bypas
Externí odkaz:
https://doaj.org/article/c822b155b8a5465bb2dcdb5e7f3db6d3
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Existing False data injection attack (FDIA) detection methods based on measurement similarity testing have difficulty in distinguishing between actual power grid accidents and FDIAs. Therefore, this paper proposes a detection method called the measur
Externí odkaz:
https://doaj.org/article/7876c2225ee44ec9b5c6d708ab008b67
Publikováno v:
电力工程技术, Vol 41, Iss 1, Pp 165-172 (2022)
False data injection attack is one of the important factors that threaten the safe and stable operation of power systems. The research on the methods of the attack against power systems can provide decision-making basis for the improvement of power s
Externí odkaz:
https://doaj.org/article/57762db569bf446891c64f5fc1233ddc
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 3, Pp 149-161 (2022)
Smart grids are vulnerable to stealthy false data injection attacks (SFDIAs), as SFDIAs can bypass residual-based bad data detection mechanisms. Methods based on deep learning technology have shown promising accuracy in the detection of SFDIAs. Howev
Externí odkaz:
https://doaj.org/article/37aff37c307a467d8d670a49b65d9127
Akademický článek
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Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Bad data is required to be detected and removed from the microgrid data stream because it misleads the decision-making of the Energy Management Systems (EMS) and puts the microgrid at risk of instability. In this paper, the authors propose a sequenti
Externí odkaz:
https://doaj.org/article/298b514d71624a25b461bfed201a6ee9
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 3, Pp 473-483 (2020)
Phasor measurement units (PMUs) can provide real-time measurement data to construct the ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU data can be easily compromised by interference or synchronization jitt
Externí odkaz:
https://doaj.org/article/6a1e281b16264970bd4778b5a6719ca1