Particle swarm optimization based PI controller of VSC-HVDC system connected to a wind farm

Lakhdar Mazouz (), Sid Ahmed Zidi, Mohamed Khatir, Tahar Benmessaoud and Slami Saadi
Additional contact information
Lakhdar Mazouz: Sidi Belabbes University
Sid Ahmed Zidi: Sidi Belabbes University
Mohamed Khatir: Sidi Belabbes University
Tahar Benmessaoud: Djelfa University
Slami Saadi: Djelfa University

International Journal of System Assurance Engineering and Management, 2016, vol. 7, issue 1, No 22, 239-246

Abstract: Abstract This paper, explores the connection of a wind farm to the grid through high voltage direct current system on voltage source converter VSC-HVDC. 12 MW wind farm consisting of 6 individual 2 MW permanent magnet synchronous generators is presented. In this paper we proposed a new particle swarm optimization algorithm (PSO) based PI controller in order to optimize the gains of PI controller of VSC-HVDC link, which consequently improve the stability of the link after a strict faults. Different results are obtained to show the efficiency of the proposed PSO algorithm for the conception of optimal controller for a VSC-HVDC link connected to a wind farm. MATLAB/Similink simulations are provided to illustrate the performance of the proposed approach under serious perturbation as single AC fault and DC fault.

Keywords: Onshore wind farm; Optimisation; PSO; VSC-HVDC (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-015-0375-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:7:y:2016:i:1:d:10.1007_s13198-015-0375-1

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-015-0375-1

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().