LAPSE:2023.30621
Published Article
LAPSE:2023.30621
A Two-Step State Estimation Algorithm for Hybrid AC-DC Distribution Grids
Gaurav Kumar Roy, Marco Pau, Ferdinanda Ponci, Antonello Monti
April 14, 2023
Abstract
Direct Current (DC) grids are considered an attractive option for integrating high shares of renewable energy sources in the electrical distribution grid. Hence, in the future, Alternating Current (AC) and DC systems could be interconnected to form hybrid AC-DC distribution grids. This paper presents a two-step state estimation formulation for the monitoring of hybrid AC-DC grids. In the first step, state estimation is executed independently for the AC and DC areas of the distribution system. The second step refines the estimation results by exchanging boundary quantities at the AC-DC converters. To this purpose, the modulation index and phase angle control of the AC-DC converters are integrated into the second step of the proposed state estimation formulation. This allows providing additional inputs to the state estimation algorithm, which eventually leads to improve the accuracy of the state estimation results. Simulations on a sample AC-DC distribution grid are performed to highlight the benefits resulting from the integration of these converter control parameters for the estimation of both the AC and DC grid quantities.
Keywords
AC-DC grids, grid monitoring, Multi-Terminal DC grids, state estimation, voltage source converters
Suggested Citation
Roy GK, Pau M, Ponci F, Monti A. A Two-Step State Estimation Algorithm for Hybrid AC-DC Distribution Grids. (2023). LAPSE:2023.30621
Author Affiliations
Roy GK: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany [ORCID]
Pau M: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany [ORCID]
Ponci F: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany
Monti A: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany
Journal Name
Energies
Volume
14
Issue
7
First Page
1967
Year
2021
Publication Date
2021-04-02
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14071967, Publication Type: Journal Article
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LAPSE:2023.30621
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https://doi.org/10.3390/en14071967
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