Remote Multinodal Voltage Unbalance Compensation in Islanded AC Microgrids

Microgrids (MGs) are exposed to voltage quality deterioration due to the presence of voltage unbalance. To deal with this problem, existing solutions based on distributed generation (DG) units interfaced by power electronics offer two type of strategies for voltage unbalance compensation depending o...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2024-03, Vol.39 (3), p.3052-3063
Main Authors: Duarte, Josué, Velasco, Manel, Martí, Pau, Borrell, Ángel, Castilla, Miguel
Format: Article
Language:English
Subjects:
Compensation
Cross coupling
Distributed generation
Dynamic stability
Electric potential
MIMO (control systems)
Nodes
Stability analysis
Unbalance
Voltage
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Summary:Microgrids (MGs) are exposed to voltage quality deterioration due to the presence of voltage unbalance. To deal with this problem, existing solutions based on distributed generation (DG) units interfaced by power electronics offer two type of strategies for voltage unbalance compensation depending on whether the compensation is performed at one remote node or at multiple local nodes. The first type is limited to a single node, and the second type is limited to apply at the DG units output (locally). This article presents a multinodal control scheme where DGs can compensate for voltage unbalance at multiple remote nodes of the MG, thus overcoming both state-of-the-art strategies limitations. In particular, negative-sequence voltage is eliminated at as many remote nodes as the number of available DG's. A systematic approach for the multiple-input/multiple-output (MIMO) nature of the problem is presented covering three aspects. First, a square MIMO control strategy is established and a feasibility test is derived to assess whether the problem can be solved. Second, the cross-coupling interaction between the multiple controllers is minimized by optimally selecting, which DGs will contribute to mitigate the remote unbalances. Third, stability and transient dynamics are analyzed. Laboratory experimental results corroborate the control performance.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2023.3340093