Ali, Husni Rois and Pal, Bikash Chandra (2021) Model Order Reduction of Multi-Terminal Direct-Current Grid Systems. IEEE Transactions on Power Systems, 36 (1). 699 – 711. ISSN 08858950
Full text not available from this repository. (Request a copy)Abstract
This paper proposes a methodology to develop a linear low-order model of a multi-terminal direct-current (MTDC) system connected to practically-sized offshore wind farm systems. The method individually linearizes the model of wind farm systems and subsequently performs model order reduction (MOR) using iterative rational Krylov algorithm (IRKA). This is, therefore, a modular approach and expandable to any number of wind farm connections. On the other hand, the model order and non-linearity of other components are retained. Effectiveness of the proposed method is demonstrated on an MTDC system connected to two large-scale wind farm models by comparing the responses obtained from the full order model (FOM) and reduced order model (ROM). From the simulation studies, it can be seen that the ROM obtained from proposed method is able to maintain high degree accuracy of FOM responses at a much faster simulation time, and hence this can help power system operation planning. Various control functionalities and strategies, different operating conditions and faults of the MTDC system are also considered to investigate robustness of the proposed method. © 1969-2012 IEEE.
Item Type: | Article |
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Additional Information: | Cited by: 6 |
Uncontrolled Keywords: | Electric power system planning; Electric utilities; Iterative methods; Offshore oil well production; Control functionality; Different operating conditions; Large-scale wind farms; Model order reduction; Multi-terminal direct currents; Power system operations; Reduced order models; Simulation studies; Offshore wind farms |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering > Electrical and Information Technology Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 05 Oct 2024 09:30 |
Last Modified: | 05 Oct 2024 09:30 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/8805 |