Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Hortensia Amaris"'
Publikováno v:
Energies, Vol 16, Iss 15, p 5689 (2023)
Connected autonomous electric vehicles (CAEVs) are essential actors in the decarbonization process of the transport sector and a key aspect of home energy management systems (HEMSs) along with PV units, CAEVs and battery energy storage systems. Howev
Externí odkaz:
https://doaj.org/article/fed57ea3149a428494b22413d2ee0fa5
Publikováno v:
Sensors, Vol 21, Iss 17, p 5826 (2021)
In the last decade, the main attacks against smart grids have occurred in communication networks (ITs) causing the disconnection of physical equipment from power networks (OTs) and leading to electricity supply interruptions. To deal with the deficie
Externí odkaz:
https://doaj.org/article/1fe4e277b55c4c6ea386feb4e7254823
This paper proposes a fast topology identification method to avoid estimation errors caused by network topology changes. The algorithm applies a deep neural network to determine the switching state of the branches that are relevant for the execution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd4501ede5870ec02d76880427abcb9
https://hdl.handle.net/10016/36204
https://hdl.handle.net/10016/36204
Publikováno v:
Sensors, Vol 20, Iss 8, p 2187 (2020)
Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network’s energy efficiency. When a short circuit takes place in a smart grid it has
Externí odkaz:
https://doaj.org/article/b2eb66bc64314215b3843cfa8bebadbf
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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This paper introduces a network topology identification (TI) method based on deep neural networks (DNNs) for online applications. The proposed TI DNN utilizes the set of measurements used for state estimation to predict the actual network topology an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b6a9fed488cc1619ff5390b69db287
https://doi.org/10.1109/tpwrs.2021.3076671
https://doi.org/10.1109/tpwrs.2021.3076671
Publikováno v:
2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aa739dd3b6dd278ffe628b3dcdd14e7
https://doi.org/10.1109/smart55236.2022.9990292
https://doi.org/10.1109/smart55236.2022.9990292
This paper proposes a method to estimate the inertia constant of synchronous generators (SGs) and the virtual inertia provided by converter-interfaced generators (CIGs). The algorithm is based on a gray-box system identification approach and uses the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cecb30aef909081039df658df9bed56
https://doi.org/10.36227/techrxiv.20495283
https://doi.org/10.36227/techrxiv.20495283
Publikováno v:
Energies, Vol 7, Iss 4, Pp 2449-2475 (2014)
Transportation electrification has become an important issue in recent decades and the large scale deployment of electric vehicles (EVs) has yet to be achieved. The smart coordination of EV demand addresses an improvement in the flexibility of power
Externí odkaz:
https://doaj.org/article/73d2f458e7254123baaa2019ba6399a9
Publikováno v:
Energies, Vol 12, Iss 11, p 2196 (2019)
In this paper, a new control strategy for power output smoothing in a hybrid wave energy installation coupled to a flywheel energy storage system (FESS) is proposed. The control scheme is composed by three stages: a wave generator clustering process
Externí odkaz:
https://doaj.org/article/15a2609fad764a5a820b706d4e017981