Modeling of HVDC System to Improve Estimation of Transient DC Current and Voltages for AC Line-to-Ground Fault—An Actual Case Study in Korea
Dohoon Kwon,
Youngjin Kim,
Seungil Moon and
Chanki Kim
Additional contact information
Dohoon Kwon: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul, Korea
Youngjin Kim: Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyungbuk 37673, Korea
Seungil Moon: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul, Korea
Chanki Kim: Transmission & Distribution Lab., the R&D Center of Korea Electric Power Co., Daejeon 305-380, Korea
Energies, 2017, vol. 10, issue 10, 1-18
Abstract:
A new modeling method for high voltage direct current (HVDC) systems and associated controllers is presented for the power system simulator for engineering (PSS/E) simulation environment. The aim is to improve the estimation of the transient DC voltage and current in the event of an AC line-to-ground fault. The proposed method consists primary of three interconnected modules for (a) equation conversion; (b) control-mode selection; and (c) DC-line modeling. Simulation case studies were carried out using PSS/E and a power systems computer aided design/electromagnetic transients including DC (PSCAD/EMTDC) model of the Jeju– Haenam HVDC system in Korea. The simulation results are compared with actual operational data and the PSCAD/EMTDC simulation results for an HVDC system during single-phase and three-phase line-to-ground faults, respectively. These comparisons show that the proposed PSS/E modeling method results in the improved estimation of the dynamic variation in the DC voltage and current in the event of an AC network fault, with significant gains in computational efficiency, making it suitable for real-time analysis of HVDC systems.
Keywords: AC line-to-ground fault; estimation of dynamic variations in DC voltage and current; Jeju–Haenam HVDC system; PSS/E simulation environment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/10/10/1543/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/10/1543/ (text/html)
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:gam:jeners:v:10:y:2017:i:10:p:1543-:d:114212
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().