2017
DOI: 10.1049/iet-gtd.2017.0426
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High‐frequency transient comparison based fault location in distribution systems with DGs

Abstract: Distributed Generations (DGs) in the distribution systems are connected into the buses using power electronic converters. During fault, it is challenging to provide a constant impedance model for DGs in the system frequency due to the variable converter control strategies. System frequency impedance measurement based fault locations can be influenced by the converters' fault behavior. This paper addresses this problem by proposing a wide-area high frequency impedance comparison based fault location technique. … Show more

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Cited by 21 publications
(13 citation statements)
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“…The increasing penetration of the DGs and non-linear loads in the evolving active distribution networks further increases the difficulties. In [27], a wide-area high-frequency impedance comparison method is proposed based on the high-frequency impedance model for DGs without knowing exact parameters of the distribution Location of Single Phase to Ground Faults in Distribution Networks based on Synchronous Transients Energy Analysis S system. In [28], the actual inverters' control strategies during faults of the photovoltaic (PV) power plants are considered, and the improved Bayesian compressive sensing algorithm is used to extract the fault characteristics and then locate the faulted node.…”
Section: Introductionmentioning
confidence: 99%
“…The increasing penetration of the DGs and non-linear loads in the evolving active distribution networks further increases the difficulties. In [27], a wide-area high-frequency impedance comparison method is proposed based on the high-frequency impedance model for DGs without knowing exact parameters of the distribution Location of Single Phase to Ground Faults in Distribution Networks based on Synchronous Transients Energy Analysis S system. In [28], the actual inverters' control strategies during faults of the photovoltaic (PV) power plants are considered, and the improved Bayesian compressive sensing algorithm is used to extract the fault characteristics and then locate the faulted node.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, the monitoring devices required for traveling wave positioning are expensive, and the practical application of engineering is difficult. e impedance method [11] calculated the impedance of the fault branch by measuring the voltage and current at the fault point, and then calculated the fault distance. Like the traveling wave method, the multibranch of the distribution network affected the accuracy of the method.…”
Section: Introductionmentioning
confidence: 99%
“…The transient zero‐sequence current of the faulted line is generally tens of times larger than the steady‐state zero‐sequence current, making it containing more fault information [14]. Thus, many scholars have proposed methods of using the transient zero‐sequence current and voltage [1521]. The transient zero‐sequence current and voltage of each detection point are analysed with artificial intelligence algorithms such as neural networks to establish distance detection equations for fault location in [15, 16].…”
Section: Introductionmentioning
confidence: 99%
“…Combined with the Pearson correlation coefficient method, the difference of the fault transient zero‐sequence current information at both sides of the fault section is used in [20]. A wide‐area high‐frequency impedance comparison method is proposed in [21] based on the high‐frequency impedance model without knowing the exact parameters of the distribution system. However, the changes in the neutral grounding mode and the grounding resistance of the system have a great influence on the accuracy of the fault section location.…”
Section: Introductionmentioning
confidence: 99%