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OPEX of hybrid DC/AC power systems with large penetration of offshore wind taking into account spinning reserves
Aragüés-Peñalba, M.; Rimez, J.; Van Hertem, D.; Gomis-Bellmunt, O. (2018). OPEX of hybrid DC/AC power systems with large penetration of offshore wind taking into account spinning reserves. IET Renew. Power Gener. 12(13): 1516-1522. https://dx.doi.org/10.1049/iet-rpg.2018.5186
In: IET Renewable Power Generation. Institute for Engineering and Technology: Hertford. ISSN 1752-1416; e-ISSN 1752-1424
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| Trefwoord |
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| Author keywords |
hybrid power systems; wind power plants; HVDC power transmission;probability; failure analysis; power generation reliability; powersystem security; power system interconnection; OPEX; hybrid DC-AC powersystems; offshore wind penetration; system spinning reserves;transmission system security; high-voltage direct current transmission;HVDC transmission; high-voltage alternating current interconnections;reliability management strategies; single AC element; single DC elementoutage; probability of failure; power system components; wind energy;CIGRE HVDC test system; system behaviour; realistic wind generation;Belgian power system |
| Auteurs | | Top |
- Aragüés-Peñalba, M.
- Rimez, J.
- Van Hertem, D.
- Gomis-Bellmunt, O.
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| Abstract |
This study presents a method to analyse the secure and optimal operation of transmission systems consisting of both HVDC (high-voltage direct current) and high-voltage alternating current interconnections under a scenario of high penetration of offshore wind and taking into account the system spinning reserves. Different reliability management strategies are assumed, accounting for a single AC element and/or a single DC element outage and taking into consideration the probability of failure of the different power system components. The cost of operation of the system and the wind energy curtailed over the operating time are determined. This method is applied to a study case, based on the CIGRE HVDC Test System. The system behaviour over a complete year is modelled using realistic wind generation and demand based on scaling data from the Belgian power system. |
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