2020
DOI: 10.1049/iet-pel.2020.0735
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Modified Sandia voltage shift anti‐islanding scheme for distributed power generator systems

Abstract: This study presents an active anti‐islanding technique for distributed power generator systems. The proposed scheme is based on the Sandia voltage shift (SVS) technique, which is characterised by a small non‐detection zone (NDZ) and by an acceptable solution to the trade‐off between the output power quality and the effectiveness of islanding detection. The proposed technique has the advantage to improve the NDZ and to reduce the anti‐islanding detection times. This is due to the exponential‐product modificatio… Show more

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Cited by 9 publications
(5 citation statements)
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“…Nonetheless, SVS scheme performs slow islanding detection [139] and can also impact the inverter stability, due to the positive feedback of current. This problem can be mitigated by using an adaptive gain as in [140].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Nonetheless, SVS scheme performs slow islanding detection [139] and can also impact the inverter stability, due to the positive feedback of current. This problem can be mitigated by using an adaptive gain as in [140].…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, the main disadvantages of the SVS are the power quality degradation and the impacts on the inverter stability [63]. In order to diminishes the method drawbacks, [140] proposed a Modified Sandia Voltage Shift (MSVS) that uses an exponential adjustment in the gain of the voltage positive feedback. More than that, the method can be implemented in parallel with the SFS in order of improving the islanding diagnosis capability [141].…”
Section: ) Sandia Voltage Shift (Svs)mentioning
confidence: 99%
“…Conversely, the primary drawbacks of the SVS are its effects on inverter stability and decrease PQ 131 . A MSVS that employs an exponential change in the gain of the voltage positive feedback was presented by 132 in an attempt to lessen the method's shortcomings. Furthermore, the technique can be used in tandem with the SFS to enhance the capacity to diagnose IS 133 .…”
Section: Islanding Detection Methodsmentioning
confidence: 99%
“…[56] To overcome the problems associated with remote IDMs, local IDMs are introduced, which are categorized into active and passive methods. There are several active IDMs proposed in the literature [19][20][21][22][23][24][25][26][27], which are shown in Table 1. Though for active IDMs, non-detection zones (NDZ) are very small, the power quality of the network is affected due to the injection of disturbance into the system, and their islanding detection speed is slower than passive IDMs [20,[22][23][24][25].…”
Section: Gauss-newton Algorithmmentioning
confidence: 99%
“…There are several active IDMs proposed in the literature [19][20][21][22][23][24][25][26][27], which are shown in Table 1. Though for active IDMs, non-detection zones (NDZ) are very small, the power quality of the network is affected due to the injection of disturbance into the system, and their islanding detection speed is slower than passive IDMs [20,[22][23][24][25]. On the other hand, passive IDM is one of the most cost-effective IDMs as the different operating parameters (power, frequency, voltage, current, harmonic distortion, etc.)…”
Section: Gauss-newton Algorithmmentioning
confidence: 99%