2021
DOI: 10.1016/j.jestch.2020.12.015
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Improved finite control set model predictive control for distributed energy resource in islanded microgrid with fault-tolerance capability

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Cited by 18 publications
(9 citation statements)
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“…In the realm of DC microgrid control, FCS MPC has emerged as a preferred approach to address the limitations of conventional vector control strategies, such as complex PI parameter tuning and multiobjective optimization [21], [22]. This method not only enhances system operation during grid-connected scenarios but also proven effective in islanding mode by anticipating voltage responses for potential switching states within each sample period.…”
Section: The Proposed Methodsmentioning
confidence: 99%
“…In the realm of DC microgrid control, FCS MPC has emerged as a preferred approach to address the limitations of conventional vector control strategies, such as complex PI parameter tuning and multiobjective optimization [21], [22]. This method not only enhances system operation during grid-connected scenarios but also proven effective in islanding mode by anticipating voltage responses for potential switching states within each sample period.…”
Section: The Proposed Methodsmentioning
confidence: 99%
“…In power generation, the efficiency of the system is significantly influenced by the converter's switching frequency, as a high switching frequency leads to increased losses. Therefore, in order to overcome this problem and achieve a low switching frequency, an improved MPC with a two-step prediction horizon (N=2) is proposed in [30,31]. Whenever two steps are considered for the prediction, two voltage vectors are evaluated.…”
Section: Figure 5 Voltage Vector Options For Inverter Systemsmentioning
confidence: 99%
“…( 4) is converted into discrete time state space model with Ts as a sampling time. However, zero order hold approach is used [9].…”
Section: B Lc Filtermentioning
confidence: 99%