Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids
Ting Wang,
Liliuyuan Liang,
Xinrang Feng,
Ferdinanda Ponci and
Antonello Monti
Additional contact information
Ting Wang: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany
Liliuyuan Liang: Contemporary Amperex Technology Co., Limited (CATL), Ningde 352100, China
Xinrang Feng: Envision Digital Shanghai, Shanghai 200050, China
Ferdinanda Ponci: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany
Antonello Monti: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany
Energies, 2021, vol. 14, issue 18, 1-15
Abstract:
Fast and accurate identification of short-circuit faults is important for post-fault service restoration and maintenance in DC distribution grids. Yet multiple power sources and complex system topologies complicate the fault identification in multi-terminal DC distribution grids. To address this challenge, this paper introduces an approach that achieves fast online identification of both the location and the severity of faults in multi-terminal DC distribution grids. First, a generic model describing the dynamic response of DC lines to both pole-to-ground and pole-to-pole faults with fault currents injected from both line ends is developed. On this basis, a Kalman filter is adopted to estimate both the fault location and resistance. In the real-time simulation of various fault scenarios in a three-terminal DC distribution grid model with Opal-RT platform, the proposed method is proved to be effective with a short response time of less than 1 ms.
Keywords: DC distribution grids; fault identification; fault location; protection; Kalman filters; parameter estimation (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: 2021
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Citations: View citations in EconPapers (2)
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