2020
DOI: 10.1109/tsg.2019.2916727
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Distributed Consensus-Based Fault Tolerant Control of Islanded Microgrids

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Cited by 119 publications
(52 citation statements)
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“…There is no fixed trajectory when the particles move in the quantum space, and the parameters of the entire iterative equations are fewer and easier to control, therefore enabling searching for the best particles solution among the entire possible region. The representative expressions in (13) and (14) of the improved QPSO algorithm are formulated as follows, and notably (14) with randomized compression/expansion factor improves the convergent speed and ensures a global convergency, as compared with the customary PSO.…”
Section: Derivation and Analysis Of Nftcsmt Combined With Improved Qpsomentioning
confidence: 99%
See 1 more Smart Citation
“…There is no fixed trajectory when the particles move in the quantum space, and the parameters of the entire iterative equations are fewer and easier to control, therefore enabling searching for the best particles solution among the entire possible region. The representative expressions in (13) and (14) of the improved QPSO algorithm are formulated as follows, and notably (14) with randomized compression/expansion factor improves the convergent speed and ensures a global convergency, as compared with the customary PSO.…”
Section: Derivation and Analysis Of Nftcsmt Combined With Improved Qpsomentioning
confidence: 99%
“…The variable structure scheme combined with a Lyapunov candidate methodology is designed for gaining a robust response of an island microgrid. Such a control method necessitates an involved circuit design and yields the unwanted dithering phenomenon [13]. An integral sliding mode controlled DC-to-AC system is presented.…”
Section: Introductionmentioning
confidence: 99%
“…In grid-connected mode, the voltage and frequency of the MG are dictated by the main grid, while in islanded/stand-alone mode control units embedded within each DGs are responsible for frequency and voltage restoration, along with managing active and reactive power [7]. To face this issue, the most common approach is to deploy a three-layer hierarchical control architecture [8], which is based on the following interactive modules: i) a Primary Control (PC) level, commonly called zero-level, involving the local hardware control of each DG unit and designed to stabilize the power network, as well as to share active and reactive power among different distributed energy sources, without any communication links; ii) a Secondary Control (SC), properly designed in order to compensate inevitable voltage and frequency fluctuations caused by the operation of PC layer; iii) a Tertiary Control (TC) aimed at optimizing the power flows exchanged by the MG components [9]. Since PC induces unavoidable frequency and voltage deviation, the SC becomes essential for MG performances.…”
Section: Introductionmentioning
confidence: 99%
“…In order to ensure the reliability and stability of an islanded MG, primary control and secondary control are widely employed, where primary droop control is mainly applied to obtain the active power sharing control and guarantee the reliability of an islanded MG system [9][10][11][12]. However, the deviations of frequency and voltage magnitude are occurred due to the utilization of droop control [13,14]. Fortunately, the secondary control can effectively deal with the above challenges [15][16][17][18], so this paper focuses on the design of secondary control scheme for islanded MG.…”
Section: Introductionmentioning
confidence: 99%