Thermal Analysis and Debottlenecking of HVAC Export Cables for Offshore Windfarms

Kazmi, Syed Hamza Hasan; Østerø, Rogvi; Holbøll, R.; Olesen, Thomas Herskind; Sørensen, Torben Smith

doi:10.1049/icp.2021.1899

Cited by 1 publication

(1 citation statement)

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“…Some are based on the physical equations, such as FEM or RC-lattice based models [21]. Some others are built on data analysis [22]: based on past behavior, they estimate the temperature evolution in a more or less close future. This last class of models includes time-series based models, machine learning, and process models.…”

Section: A Introduction To Sdpmentioning

confidence: 99%

Stochastic Dynamic Programming for Energy Management of an Overplanted Offshore Wind Farm with Dynamic Thermal Rating and Storage

Faye-Bédrin,

Blavette,

Haessig

et al. 2023

2023 IEEE Belgrade PowerTech

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We study the optimal energy management of an offshore wind farm which combines "overplanting" (more production than transmission capacity), "dynamic thermal rating" (DTR, transiently exporting more than the steady-state transmission capacity thanks to the large thermal inertia of the soil surrounding the export cable) and an energy storage (to mitigate both curtailements and forecast errors). This forwardlooking setting, which aims at further reducing the Levelized Cost of Energy of offshore wind power, creates an optimization problem with both temporal couplings and uncertain inputs. The difficulty of this energy management problem comes from having time constants separated by several orders of magnitude due the thermal inertia of the cable surroundings. We propose an approximate solution based on large GPU implementation of Stochastic Dynamic Programming (SDP). In our performance comparisons, SDP outperforms simpler rule-based energy management schemes while we also explore the benefit of DTR in the context of overplanting.

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Section: A Introduction To Sdpmentioning

confidence: 99%