Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Rob Hovsapian"'
Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems
Publikováno v:
IEEE Access, Vol 11, Pp 46039-46050 (2023)
Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resources imposes strong influences on fault detection using traditional ov
Externí odkaz:
https://doaj.org/article/c535c74f25c341bb8a28a20b6deb43b3
Autor:
Rob Hovsapian, Julian D. Osorio, Mayank Panwar, Chryssostomos Chryssostomidis, Juan C. Ordonez
Publikováno v:
Energies, Vol 14, Iss 13, p 3858 (2021)
In this work, the integration of a grid-scale ternary-Pumped Thermal Electricity Storage (t-PTES) with a nuclear power generation to enhance operation flexibility is assessed using physics-based models and digital real time simulation. A part of the
Externí odkaz:
https://doaj.org/article/d78ac8ac649f477c8341181d3b911db8
Autor:
Bishnu P. Bhattarai, Sumit Paudyal, Yusheng Luo, Manish Mohanpurkar, Kwok Cheung, Reinaldo Tonkoski, Rob Hovsapian, Kurt S. Myers, Rui Zhang, Power Zhao, Milos Manic, Song Zhang, Xiaping Zhang
Publikováno v:
IET Smart Grid (2019)
Big data has potential to unlock novel groundbreaking opportunities in power grid that enhances a multitude of technical, social, and economic gains. As power grid technologies evolve in conjunction with measurement and communication technologies, th
Externí odkaz:
https://doaj.org/article/cf813b36ca734688ac48098f1f8083ec
Autor:
Manish Mohanpurkar, Yusheng Luo, Danny Terlip, Fernando Dias, Kevin Harrison, Joshua Eichman, Rob Hovsapian, Jennifer Kurtz
Publikováno v:
Energies, Vol 10, Iss 11, p 1836 (2017)
This paper presents a real-time simulation with a hardware-in-the-loop (HIL)-based approach for verifying the performance of electrolyzer systems in providing grid support. Hydrogen refueling stations may use electrolyzer systems to generate hydrogen
Externí odkaz:
https://doaj.org/article/9ed4ee27cfd44bcd95c50cb50010adf2
Publikováno v:
2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE).
Publikováno v:
2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE).
Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems
Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resources imposes strong influences on fault detection using traditional ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a497b2c200916123ae9537d88fc97330
http://arxiv.org/abs/2210.15177
http://arxiv.org/abs/2210.15177
Publikováno v:
IECON
Hydrogen electrolyzers, with their operational flexibility, can be configured as smart dynamic loads which can provide grid services and facilitate the integration of more renewable energy sources into the electrical grid. However, to enable this abi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d08e4cad880c6bbded2c0a1e835e425
http://arxiv.org/abs/2209.05967
http://arxiv.org/abs/2209.05967
Publikováno v:
IEEE Transactions on Power Systems. 35:2748-2758
Measuring and enabling resiliency of electric distribution systems with increasing weather and cyber events are important. Some of the extreme events (e.g. Earthquakes, Hurricanes) and associated paths are predicted and monitored closely in advance a
Publikováno v:
Industrial & Engineering Chemistry Research. 59:956-969
This paper presents a general, novel, and accurate method to determine the shape of the temperature–entropy (T–S) vapor saturation curve for fluids, based on Lee–Kesler’s version of the corresponding states principle. The slope of the T–S v