Zobrazeno 1 - 10
of 66
pro vyhledávání: '"IVER BAKKEN Sperstad"'
Autor:
Aleksandr Egorov, Gianluigi Migliavacca, Giorgia Lattanzio, Hakan Ergun, Iver Bakken Sperstad, Dario Siface, Andrei Morch
Publikováno v:
Open Research Europe, Vol 3 (2024)
The FlexPlan Horizon2020 project aimed at establishing a new grid planning methodology which considers the opportunity to introduce new storage and flexibility resources in electricity transmission and distribution grids as an alternative to building
Externí odkaz:
https://doaj.org/article/72982dbb0de549aba427e27e195387a4
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 9, Pp 1972-1984 (2023)
Abstract Deteriorated power system components have a higher probability of failure than new components. Still, the reliability of supply analyses traditionally models all components of the same type with the same probability of failure, and thus negl
Externí odkaz:
https://doaj.org/article/9738c0b68fe645b0b8d401283f49c6e0
Autor:
Aleksandr Egorov, Gianluigi Migliavacca, Giorgia Lattanzio, Hakan Ergun, Iver Bakken Sperstad, Dario Siface, Andrei Morch
Publikováno v:
Open Research Europe, Vol 3 (2024)
The FlexPlan Horizon2020 project aimed at establishing a new grid planning methodology which considers the opportunity to introduce new storage and flexibility resources in electricity transmission and distribution grids as an alternative to building
Externí odkaz:
https://doaj.org/article/cd02f91cd4364aa2a68ce0372268d17d
Autor:
Espen Flo Bødal, Venkatachalam Lakshmanan, Iver Bakken Sperstad, Merkebu Z. Degefa, Maxime Hanot, Hakan Ergun, Marco Rossi
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 24, Pp 5002-5014 (2022)
Abstract Optimisation tools for long‐term grid planning considering flexibility resources require aggregated flexibility models that are not too computationally demanding or complex. Still, they should capture the operational benefits of flexibilit
Externí odkaz:
https://doaj.org/article/8bf464365f0f429188c9fe9d0c3f0652
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109121- (2023)
This article presents a dataset for a Norwegian industrial medium voltage (MV) and low voltage (LV) electric power distribution grid with load time series. The raw dataset was collected in collaboration with the Norwegian distribution grid company (D
Externí odkaz:
https://doaj.org/article/70836ef58db9423e8f89db00e6a61f27
Autor:
Iver Bakken Sperstad, Olav Bjarte Fosso, Sigurd Hofsmo Jakobsen, Arnt Ove Eggen, Julie Helen Evenstuen, Gerd Kjølle
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 109025- (2023)
This article describes a reference data set for a representative Norwegian radial, medium voltage (MV) electric power distribution system operated at 22 kV. The data set is developed in the Norwegian research centre CINELDI and will in brief be refer
Externí odkaz:
https://doaj.org/article/ed99dfaecdac4b8e87ab1298fda3c8d3
Publikováno v:
Data in Brief, Vol 33, Iss , Pp 106495- (2020)
This article presents a test data set combining data relevant for power system reliability analysis, including network data, reliability data, basic interruption cost data, and exemplary operating state data. The data set originated as a data set for
Externí odkaz:
https://doaj.org/article/626155275ac242b1824b77cd62493e27
Autor:
Iver Bakken Sperstad, Magnus Korpås
Publikováno v:
Energies, Vol 12, Iss 7, p 1231 (2019)
Flexible distributed energy resources, such as energy storage systems (ESSs), are increasingly considered as means for mitigating challenges introduced by the integration of stochastic, variable distributed generation (DG). The optimal operation of a
Externí odkaz:
https://doaj.org/article/b596fdc291d441d395f1523168477488
Publikováno v:
Energies, Vol 10, Iss 7, p 925 (2017)
Decision support models for offshore wind farm operation and maintenance (O&M) are required to represent the failure behavior of wind turbine components. Detailed degradation modelling is already incorporated in models for specific components and app
Externí odkaz:
https://doaj.org/article/f7367541c1ad4e3f887ed15b940cdb53
Publikováno v:
Journal of the Operational Research Society. :1-20