Real-time stability analysis and control of multi-converter systems by using MIMO-identification techniques

Tomi Roinila, Hessamaldin Abdollahi, Silvia Arrua, Enrico Santi

    Research output: Contribution to journalArticleScientificpeer-review

    48 Citations (Scopus)

    Abstract

    DC distribution systems typically consist of several feedback-controlled switched-mode converters forming a complex power distribution system. Consequently, a number of issues related to stability arise due to interactions among multiple converter subsystems. Recent studies have presented methods such as passivity-based stability criterion where the stability and other dynamic
    characteristics of an interconnected system can be effectively analyzed using bus-impedance measurement. Studies have presented online measurement techniques where the bus impedance is obtained by combining together the measurements of input and output impedances of single converters in the system. Since the converters are coupled, the presented measurement techniques require several measurement cycles in order to sequentially measure the individual impedances to be combined to obtain the overall bus impedance. This paper presents a measurement technique based on injection of orthogonal binary sequences. Applying this method, all the impedances in the system can be simultaneously measured during one measurement cycle. Therefore, the overall measurement time of the bus impedance is reduced compared to conventional measurement techniques. Furthermore, the method guarantees that the system dynamics do not change between measurements, and therefore, the computed bus impedance is not distorted. Experimental results are presented and used to demonstrate the effectiveness of the proposed method in the design of a stabilizing controller for a notional DC system using Positive Feed-Forward control (PFF).
    Original languageEnglish
    Pages (from-to)3948-3957
    JournalIEEE Transactions on Power Electronics
    Volume34
    Issue number4
    Early online date15 Jul 2018
    DOIs
    Publication statusPublished - Apr 2019
    Publication typeA1 Journal article-refereed

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    • Publication forum level 3

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