2020
DOI: 10.1016/j.epsr.2019.106074
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Robust control of a DC microgrid under parametric uncertainty and disturbances

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Cited by 44 publications
(29 citation statements)
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“…, [25], [26]. Furthermore, let σ ∈ be the sum σ =σ +σ , such thatσ is a DC quiescent value, andσ is the small AC signal superimposed over the DC value [46].…”
Section: A DC Img With No Communication Delaymentioning
confidence: 99%
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“…, [25], [26]. Furthermore, let σ ∈ be the sum σ =σ +σ , such thatσ is a DC quiescent value, andσ is the small AC signal superimposed over the DC value [46].…”
Section: A DC Img With No Communication Delaymentioning
confidence: 99%
“…Previous studies [16], [24] have attempted to achieve more complex and advanced objectives through global communication coordinations. From the perspective of control and use of communication network topology, the DCMG can be generalized as follows [16], [24]: 1) Centralized control: The DGUs' states or data are shared with a centralized control terminal through dedicated communication links (DCLs), and the control signals are sent back using the same DCL [25]- [27]. 2) Decentralized control: In this scheme, no DCLs exist.…”
Section: Introductionmentioning
confidence: 99%
“…The uncertainty level is further increased under high penetration of RESs, calling for the design and implementation of robust controllers for negligible frequency deviation. The different sources in MG system are higher‐order and nonlinear in nature, however, for small‐signal stability study, the low order linearized models are quite sufficient 14 . Therefore, in the present study, the linearized model of individual sources and storage systems has been considered.…”
Section: H∞ Controller Synthesismentioning
confidence: 99%
“…The different sources in MG system are higher-order and nonlinear in nature, however, for small-signal stability study, the low order linearized models are quite sufficient. 14 Therefore, in the present study, the linearized model of individual sources and storage systems has been considered. The unmodeled dynamics, operational, and environmental effects may introduce uncertainties in the system that results into dynamic perturbation of model parameters.…”
Section: H ∞ Controller Synthesismentioning
confidence: 99%
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