no code implementations • 5 Nov 2022 • Bang L. H. Nguyen, Tuyen Vu, Thai-Thanh Nguyen, Mayank Panwar, Rob Hovsapian
This paper presents a 1-D convolutional graph neural network for fault detection in microgrids.
no code implementations • 5 Nov 2022 • Bang L. H. Nguyen, Mayank Panwar, Rob Hovsapian, Yashodhan Agalgaokar, Tuyen Vu
This paper presents the operation modes and control architecture of the grid-connected hydrogen electrolyzer systems for the provision of frequency and voltage supports.
no code implementations • 27 Oct 2022 • Bang Nguyen, Tuyen Vu, Thai-Thanh Nguyen, Mayank Panwar, Rob Hovsapian
The temporal recurrent graph neural network structures can extract the spatial-temporal features from data of voltage measurement units installed at the critical buses.
no code implementations • 13 Sep 2022 • Bang L. H. Nguyen, Mayank Panwar, Rob Hovsapian, Kazunori Nagasawa, Tuyen V. Vu
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.
no code implementations • 13 Sep 2022 • Bang Le-Huy Nguyen, Thai-Thanh Nguyen, Van-Long Pham, Tuyen Vu, Mayank Panwar, Rob Hovsapian
The use of a hybrid energy storage system with battery and supercapacitor helps smooth out the power output under wind gusts and stabilizes the DC-link voltage under grid fault conditions.
no code implementations • 27 Jun 2018 • Yusheng Luo, Min Xian, Manish Mohanpurkar, Bishnu P. Bhattarai, Anudeep Medam, Rahul Kadavil, Rob Hovsapian
Optimal scheduling of hydrogen production in dynamic pricing power market can maximize the profit of hydrogen producer; however, it highly depends on the accurate forecast of hydrogen consumption.