Ahmad Nikoobakht
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
Authors
Jamshid Aghaei
Taher Niknam
Prof Vahid Vahidinasab V.Vahidinasab@salford.ac.uk
Professor
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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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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