State Estimation for Hybrid VSC Based HVDC/AC Transmission Networks

Motaz Ayiad, Helder Leite and Hugo Martins
Additional contact information
Motaz Ayiad: Efacec Automation, Grid Management Division, 4471-907 Porto, Portugal
Helder Leite: Faculty of Engineering (FEUP), University of Porto, 4200-465 Porto, Portugal
Hugo Martins: Efacec Automation, Grid Management Division, 4471-907 Porto, Portugal

Energies, 2020, vol. 13, issue 18, 1-27

Abstract: As the integration of High Voltage Direct Current (HVDC) systems on modern power networks continues to expand, challenges have appeared in different fields of the network architecture. In the Supervisory, Control and Data Acquisition (SCADA) field, software and toolboxes are expected to be modified to meet the new network characteristics. Therefore, this paper presents a unified Weighted Least Squares (WLS) state estimation algorithm suitable for hybrid HVDC/AC transmission systems, based on Voltage Source Converter (VSC). The mathematical formulas of the unified approach are derived for modelling the AC, DC and converter coupling components. The method couples the AC and DC sides of the converter through power and voltage constraints and measurement functions. Two hybrid power system test cases have been studied to validate this work, a 4-AC/4-DC/4-AC network and Cigre B4 DC test case network. Furthermore, comparison between the fully decentralized state estimation and the unified method is provided, which indicated an accuracy improvement and error reduction.

Keywords: state estimation; WLS; unified; HVDC/AC; AC/DC; transmission; hybrid; distributed; decentralized; VSC; HVDC (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/18/4932/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/18/4932/ (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:13:y:2020:i:18:p:4932-:d:416382

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 ().