Offshore Windfarm Design Optimization using Dynamic Rating for Transmission Components

Syed Hamza Hasan Kazmi, Nicola Viafora, Troels Sørensen, Thomas Herskind Olesen, Bikash Chandra Pal, Joachim Holbøll

    Research output: Contribution to journalJournal articleResearchpeer-review

    193 Downloads (Pure)

    Abstract

    The foreseen development of large-scale Offshore Windfarms (OWFs) further from the shore dictates that the OWF transmission system must be optimally designed based on Dynamic Thermal Rating (DTR) in order to fully utilize the intermittent nature of the wind and to keep the offshore wind cost-competitive. In this paper, a comprehensive, DTRbased, two-stage stochastic model is presented, which has been developed for investment decision support for OWF size and HVAC transmission systems. Complex DTR models for all the critical HV components are made fit for the mixed-integer linear programming problem, while accounting for the stochasticity in wind generation and component availability. The main decisions incorporate the discrete size of OWFs, HV subsea export cable cross-sections and ratings for transformers and shunt reactors. For validation, an actual testcase OWF off the east coast of UK has been used. Results indicate that DTR-based iterative design of OWF and its transmission components can significantly improve the business case, even though transmission efficiency and energy delivered are not maximum for the optimal design case.
    Original languageEnglish
    JournalIEEE Transactions on Power Systems
    Volume37
    Issue number3
    Pages (from-to)1820 - 1830
    ISSN0885-8950
    DOIs
    Publication statusPublished - 2022

    Keywords

    • Dynamic thermal rating
    • Offshore Windfarms
    • Stochastic design optimization
    • HVAC transmission
    • Reliability

    Fingerprint

    Dive into the research topics of 'Offshore Windfarm Design Optimization using Dynamic Rating for Transmission Components'. Together they form a unique fingerprint.

    Cite this