Processing Magnetometer Signals for Accurate Wide-Area Geomagnetic Disturbance Monitoring and Resilience Analysis
- authored by
- Mohamadreza Ariannik, Afshin Rezaei-Zare, Peter Werle
- Abstract
Geomagnetic disturbances (GMDs) can disrupt the operation of power systems by inducing a quasi-dc voltage and generating geomagnetically induced currents (GICs) in a vast area of the power systems. This gives rise to the importance of wide-area monitoring of magnetic field on earth's surface. Assessment of power system resiliency against GMDs requires an accurate calculation of GIC flows, which is achieved by wide-area monitoring of the magnetic field B, and processing the B signals that are recorded by magnetometers on the earth's surface. In this paper, a method is proposed to denoise the B signal. Spikes in the signal are detected using a stationary wavelet transform and then replaced. Time derivative of B signal is taken by a continuous wavelet transform to prevent amplification of the noises. Furthermore, a quantitative analysis is performed to detect the optimum sampling frequency to overcome the practical limitations associated with transmitting the recorded B signal and to modify peaks of dB/dt signal negligibly. It is demonstrated that a sampling frequency of 1/15 Hz satisfies these conditions. Finally, GICs in a 118-bus benchmark power system are calculated with respect to a realistic geomagnetic storm to demonstrate the effectiveness of the proposed signal processing method.
- Organisation(s)
-
High Voltage Engineering and Asset Management Section (Schering Institute)
- External Organisation(s)
-
York University
- Type
- Article
- Journal
- IEEE Transactions on Power Delivery
- Volume
- 36
- Pages
- 2550-2558
- No. of pages
- 9
- ISSN
- 0885-8977
- Publication date
- 18.09.2020
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Energy Engineering and Power Technology, Electrical and Electronic Engineering
- Electronic version(s)
-
https://doi.org/10.1109/TPWRD.2020.3024908 (Access:
Closed)