Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Nikolaos Gatsis"'
Publikováno v:
IEEE Access, Vol 11, Pp 138986-139003 (2023)
Global Navigation Satellite System (GNSS) receivers are vulnerable to intentional spoofing attacks which can manipulate position, velocity, and time (PVT) measurements. Previous work has demonstrated that Time Synchronization Attacks (TSAs) can be de
Externí odkaz:
https://doaj.org/article/74ce82df72c34452a33d5bad1bd435aa
Autor:
Krishna Sandeep Ayyagari, Reynaldo Gonzalez, Yufang Jin, Miltiadis Alamaniotis, Sara Ahmed, Nikolaos Gatsis
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 11, Iss 1, Pp 201-211 (2023)
Scalable coordination of photovoltaic (PV) inverters, considering the uncertainty in PV and load in distribution networks (DNs), is challenging due to the lack of real-time communications. Decentralized PV inverter setpoints can be achieved to addres
Externí odkaz:
https://doaj.org/article/813b4f87a7414018801ddf882d1b673a
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 4, Pp 597-606 (2020)
This paper introduces a dynamic network model together with a phasor measurement unit (PMU) measurement model suitable for power system state estimation under spoofing attacks on the global positioning system (GPS) receivers of PMUs. The spoofing att
Externí odkaz:
https://doaj.org/article/20026d64d0284935adf0327ea529a1f0
Autor:
Miltiadis Alamaniotis, Nikolaos Gatsis
Publikováno v:
Energies, Vol 12, Iss 13, p 2470 (2019)
Utilization of digital connectivity tools is the driving force behind the transformation of the power distribution system into a smart grid. This paper places itself in the smart grid domain where consumers exploit digital connectivity to form partit
Externí odkaz:
https://doaj.org/article/1be5ce59cd3848038b390ff582409596
Publikováno v:
Energies, Vol 12, Iss 3, p 459 (2019)
Recent studies by electric utility companies indicate that maximum benefits of distributed solar photovoltaic (PV) units can be reaped when siting and sizing of PV systems is optimized. This paper develops a two-stage stochastic program that serves a
Externí odkaz:
https://doaj.org/article/edea1297a76f4038981326ad40538d6c
Publikováno v:
2022 North American Power Symposium (NAPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68652881ca694d8994ef09283803f810
https://doi.org/10.1109/naps56150.2022.10012207
https://doi.org/10.1109/naps56150.2022.10012207
Publikováno v:
IEEE Transactions on Smart Grid. 11:1759-1770
Smart inverters have been advocated as a fast-responding mechanism for voltage regulation in distribution grids. Nevertheless, optimal inverter coordination can be computationally demanding, and preset local control rules are known to be subpar. Leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98cbee9908e4b14e1705a0c248161aa6
https://doi.org/10.1109/tsg.2019.2942850
https://doi.org/10.1109/tsg.2019.2942850
Publikováno v:
2022 IEEE Texas Power and Energy Conference (TPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9b5b7d1d80f2811c7e12a094c999185
https://doi.org/10.1109/tpec54980.2022.9750738
https://doi.org/10.1109/tpec54980.2022.9750738
Phasor measurement units ({PMUs}) have become instrumental in modern power systems for enabling real-time, wide-area monitoring and control. Accordingly, many studies have investigated efficient and robust dynamic state estimation (DSE) methods in or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a49629ff63f50c003c41042291c6b696
Autor:
Krishna Sandeep Ayyagari, Sherin Ann Abraham, Yiyun Yao, Shibani Ghosh, Francisco Flores-Espino, Adarsh Nagarajan, Nikolaos Gatsis
The adoption of distributed energy resources such as photovoltaics (PVs) has increased dramatically during the previous decade. The increased penetration of PVs into distribution networks (DNs) can cause voltage fluctuations that have to be mitigated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b975ddbce4f2091aead86f1333583c2d