2023
DOI: 10.1109/tsg.2023.3239548
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Safe and Stable Secondary Voltage Control of Microgrids Based on Explicit Neural Networks

Abstract: This paper proposes a novel safety-critical secondary voltage control method based on explicit neural networks (NNs) for islanded microgrids (MGs) that can guarantee any state inside the desired safety bound even during the transient. Firstly, an integrator is introduced in the feedback loop to fully eliminate the steady-state error caused by primary control. Then, considering the impact of secondary control on the stability of the whole system, a set of transient stability and safety constraints is developed.… Show more

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Cited by 16 publications
(3 citation statements)
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“…Step 3: Entering the DRC. The reactive power out,b Q transferred by the inverter is calculated using (6), and is corrected according to (19). Then go to Step 6.…”
Section: ⅴ Realization Of the Proposed Voltage Control Strategymentioning
confidence: 99%
See 1 more Smart Citation
“…Step 3: Entering the DRC. The reactive power out,b Q transferred by the inverter is calculated using (6), and is corrected according to (19). Then go to Step 6.…”
Section: ⅴ Realization Of the Proposed Voltage Control Strategymentioning
confidence: 99%
“…To minimize the impact on the voltage of the distribution network, the voltage of a microgrid should be kept stable [6]. However, voltage on the common bus in a microgrid is heavily influenced by the status of RES and loads.…”
Section: ⅰ Introductionmentioning
confidence: 99%
“…Accordingly, the reactive power‐sharing error is reduced to zero and deviations of frequency and voltage are compensated. In [22], a central secondary controller is proposed to guarantee the safe operation of an islanded microgrid. The region of attraction within which the states will converge to the equilibrium is determined while the voltages are bounded within a desired region even during transients.…”
Section: Introductionmentioning
confidence: 99%