Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rahul Nellikkath"'
Publikováno v:
IEEE Transactions on Industry Applications. 57:2769-2781
Optimal planning and dispatch for satisfying peak demand are challenging, especially for microgrids with significant penetration of renewable energy. In extreme cases such as weather contingencies, microgrid operators may resort to load shedding. Alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d024f6d8db8a0572786c9aff4f2044b6
https://doi.org/10.1109/tia.2021.3057008
https://doi.org/10.1109/tia.2021.3057008
Publikováno v:
Nellikkath, R & Chatzivasileiadis, S 2022, ' Physics-Informed Neural Networks for AC Optimal Power Flow ', Electric Power Systems Research, vol. 212, 108412 . https://doi.org/10.1016/j.epsr.2022.108412
This paper introduces, for the first time to our knowledge, physics-informed neural networks to accurately estimate the AC-Optimal Power Flow (AC-OPF) result and delivers rigorous guarantees about their performance. Power system operators, along with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f529cdf87f5bb70141528291d11e0c4
https://doi.org/10.1016/j.epsr.2022.108412
https://doi.org/10.1016/j.epsr.2022.108412
Physics-informed neural networks exploit the existing models of the underlying physical systems to generate higher accuracy results with fewer data. Such approaches can help drastically reduce the computation time and generate a good estimate of comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38f9bfdc8e28e1eb6b347dcac83d7f28
http://arxiv.org/abs/2107.00465
http://arxiv.org/abs/2107.00465
Autor:
Eléa Prat, Irena Dukovska, Rahul Nellikkath, Malte Thoma, Lars Herre, Spyros Chatzivasileiadis
This paper proposes a method to design network-aware flexibility requests for local flexibility markets. These markets are becoming increasingly important for distribution system operators (DSOs) to ensure grid safety while minimizing costs and publi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a174ed5b9e2a96d96ffea3b808aa266
Publikováno v:
2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020).
In this paper, a MILP optimization problem is formulated to reduce network power losses of a droop – controlled islanded microgrid by the application of a day – ahead volt – VAr dispatch and network reconfiguration. The modelling also includes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::366cb8901a7b3aac399f86e1ee3802e9
https://doi.org/10.1109/pesgre45664.2020.9070397
https://doi.org/10.1109/pesgre45664.2020.9070397