2018
DOI: 10.1109/tpwrs.2017.2707400
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High-Fidelity Model Order Reduction for Microgrids Stability Assessment

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Cited by 171 publications
(159 citation statements)
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“…As power inverters can be controlled at much faster time-scales (milliseconds), the transmission line dynamics can compromise the stability of the power-network. This phenomenon has been noted in [2], [11] for a droop controlled micro-grids and can be verified experimentally for all control methods listed above. In [12] small signal stability analysis for a steady state with no power flow is used to obtain insightful stability conditions for droop control in combination with a dynamic line model.…”
Section: Introductionsupporting
confidence: 66%
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“…As power inverters can be controlled at much faster time-scales (milliseconds), the transmission line dynamics can compromise the stability of the power-network. This phenomenon has been noted in [2], [11] for a droop controlled micro-grids and can be verified experimentally for all control methods listed above. In [12] small signal stability analysis for a steady state with no power flow is used to obtain insightful stability conditions for droop control in combination with a dynamic line model.…”
Section: Introductionsupporting
confidence: 66%
“…For every inverter with index k ∈ N , we propose the decentralized dispatchable virtual oscillator control (dVOC): (11) with gains η > 0, α > 0, and…”
Section: Controller and Closed Loop Designmentioning
confidence: 99%
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“…Similar remarks have been pointed out for microgrids consisted solely of inverters based on droop [26] and dispatchable virtual oscillator control [27]. While we solely focus on frequency dynamics in this example, it should be noted that the voltage stability could also be assessed using the proposed approach, as indicated in [26]- [28].…”
Section: Timescale Separationmentioning
confidence: 61%
“…For the purposes of capturing the slow modes dynamics, it is reasonable to assume that σ l 1 holds for modes evolving on the timescales slower than the line time constant [28]. By performing a Taylor series expansion we obtain:…”
Section: Discussionmentioning
confidence: 99%