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Towards robust OPF solution strategy for the future AC/DC grids: case of VSC‐HVDC‐connected offshore wind farms

Nikoobakht, Ahmad; Aghaei, Jamshid; Niknam, Taher; Vahidinasab, Vahid; Farahmand, Hossein; Korpås, Magnus

Towards robust OPF solution strategy for the future AC/DC grids: case of VSC‐HVDC‐connected offshore wind farms Thumbnail


Authors

Ahmad Nikoobakht

Jamshid Aghaei

Taher Niknam

Hossein Farahmand

Magnus Korpås



Abstract

This study jointly addresses two major challenges in power system operations: (i) sustained growth of intermittent offshore wind farms (OWFs) connected to AC grid via multi-terminal voltage source converter (VSC)-based high-voltage DC (HVDC) grid that brings new challenges to the power system operation, and (ii) dealing with non-linearity of the AC power flow equations with the multi-terminal VSC-based HVDC grid model. To overcome these challenges, firstly, to deal with the uncertainties caused by the high penetration of the intermittent OWFs, this study introduces a robust optimisation approach. The proposed framework is computationally efficient and does not require the probability density function of the wind speed. The proposed decision-making framework finds the optimal decision variables in a way that they remain robust against the set of
uncertainties. Secondly, the mathematical representation of the full AC optimal power flow (OPF) problem, with the added modelling of multi-terminal VSC-based HVDC grid in a day-ahead scheduling problem, is a mixed-integer non-linear programming (MINLP) optimisation problem, which is computationally burdensome for large-scale systems. Accordingly, this paper proposes a computationally efficient method for adjustment of solutions set points, which is also compatible with existing customary solvers with minimal modification efforts.

Journal Article Type Article
Acceptance Date Jan 26, 2018
Online Publication Date Feb 20, 2018
Publication Date 2018-04
Deposit Date Mar 9, 2025
Publicly Available Date Mar 11, 2025
Journal IET Renewable Power Generation
Electronic ISSN 1752-1424
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 12
Issue 6
Pages 691-701
DOI https://doi.org/10.1049/iet-rpg.2017.0575
Additional Information Received: 2017-08-31; Accepted: 2018-01-26; Published: 2018-02-20

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