Synchronized measurement technology supported AC and HVDConline disturbance detection

Synchronized measurement technology supported AC and HVDConline disturbance detection

Naglic, M. (TU Delft Intelligent Electrical Power Grids)
Liu, L. (TU Delft Intelligent Electrical Power Grids)
Tyuryukanov, I. (TU Delft Intelligent Electrical Power Grids)
Popov, M. (TU Delft Intelligent Electrical Power Grids)
van der Meijden, M.A.M.M. (TU Delft Intelligent Electrical Power Grids; TenneT TSO B.V.)
Terzija, V. (The University of Manchester)

2018

In electric power system, disturbance detection has become an important part of grid operation and refers to the detection of a voltage and current excursion caused by the wide variety of electromagnetic phenomena. This paper proposes a computationally efficient and robust algorithm for synchronized measurement technology (SMT) supported online disturbance detection, suitable for AC and HVDC grids. The proposed algorithm is based on the robust median absolute deviation sample dispersion measure to locate dataset outliers. The algorithm is capable of identifying the disturbance occurrence and clearance measurement sample based on the dynamic criteria, driven by present power system conditions. The effectiveness of the proposed algorithm is verified by real-time simulations using a cyber-physical simulation platform, as a co-simulation between the SMT supported electric power system model and underlying ICT infrastructure. The presented results demonstrate effectiveness of the proposed algorithm, making it suitable for an AC and HVDC online disturbance detection application or as a pre-step of backup protection schemes.

Co-simulation
HVDC
Online disturbance detection
PMU
RTDS

http://resolver.tudelft.nl/uuid:847ef398-8658-4555-acae-58610cf35084

https://doi.org/10.1016/j.epsr.2018.03.007

0378-7796

Electric Power Systems Research, 160, 308-317

Institutional Repository

journal article

© 2018 M. Naglic, L. Liu, I. Tyuryukanov, M. Popov, M.A.M.M. van der Meijden, V. Terzija