Novel fault location methods for ungrounded radial distribution systems using measurements at substation

Xiu, Wanjing; Liao, Yuan

doi:10.1016/j.epsr.2013.08.012

Cited by 16 publications

(7 citation statements)

References 18 publications

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“…Whereas in [14,28], the frequency spectrum of the voltage waveform is used to estimate the fault distance. Besides that, the analytical formulation method has been utilized in [29][30][31] to estimate the fault distance. In [31], an estimation based approach using equation derivation is formulated.…”

Section: Introductionmentioning

confidence: 99%

“…Whereas in [29], the analytical formulation method based on a forward calculation of zero sequence voltage and current has been proposed. Other than that, the bus impedance matrix of the system is derived in [30] to estimate the distance. All the mentioned techniques have their own strength and weakness in estimating the fault distance accurately.…”

Section: Introductionmentioning

confidence: 99%

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Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system

et al. 2020

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This paper proposes an approach to accurately estimate the impedance value of a high impedance fault (HIF) and the distance from its fault location for a distribution system. Based on the three-phase voltage and current waveforms which are monitored through a single measurement in the network, several features are extracted using discrete wavelet transform (DWT). The extracted features are then fed into the optimized artificial neural network (ANN) to estimate the HIF impedance and its distance. The particle swarm optimization (PSO) technique is employed to optimize the parameters of the ANN to enhance the performance of fault impedance and distance estimations. Based on the simulation results, the proposed method records encouraging results compared to other methods of similar complexity for both HIF impedance values and estimated distances.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system

et al. 2020

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“…The impedance-based methods are one of the most successful techniques for FL [3]. These methods are easy to implement in real life applications, have good precision, and a high cost/benefit relationship [9][10][11][12]. However, these techniques present some limitations like the estimation of multiple FL.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks

et al. 2018

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Modern fault location methods are robust; however, they depend strongly on the availability of the measurements given by Distributed Energy Resources (DER). If the communication or synchronism of this information is lost, the fault location is not possible. This paper proposes an adaptive impedance-based fault location algorithm for active distribution systems. The proposal combines information provided by Intelligent Electronic Devices (IEDs) located at the substation, the knowledge of the network topology and parameters, as well as the distributed power sources, to estimate the fault location. Its adaptive feature is given by the use of a Distributed Energy Resources (DER) electrical model. This model is used to estimate the DER current contribution to the fault, in case the information provided by a local IED is not available. The method takes two types of DER technologies into account: Inverter non-interfaced DER (INIDER) and Inverter-interfaced DER (IIDER). The proposed method is validated on a modified IEEE 34-node test feeder, which was simulated with ATP/EMTP. The results obtained using the IEDs information, presented a maximum error of 0.8%. When this information is not available, the method’s performance decreases slightly, obtaining a maximum error of 1.1%. The proposed method showed better performance when compared with two state of the art methods, indicating potential use for real-life applications.

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“…None of the above references have considered the effects of DGs, so presenting new fault location methods is necessary by considering the effects of DGs. Proposed methods in previous studies [19][20][21][22][23][24] have been created on this basis.…”

Section: Introductionmentioning

confidence: 99%

Accuracy improvement of impedance-based fault locating method in distribution systems with DGs considering loss of laterals and load variations

Dadary

Afrakhte

2017

Int Trans Electr Energ Syst

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Summary Fast and accurate fault location methods will accelerate power system restoration process and then cause improvement on availability and reliability indices. Presenting a modified scheme in order to improve accuracy of impedance‐based fault location method in electric power distribution systems (EPDS) equipped with distributed generation (DG) units is the main goal of this paper. To achieve this goal, an iterative algorithm is introduced to compensate load variations. Also, a method is presented based on forward/backward sweep load flow to consider loss in all laterals of EPDS. Then, fault location will be determined by using a comprehensive method that extracts a fifth‐order algebraic equation for each type of fault. This method will be modified to consider the presence of DGs in EPDS. In this paper, all the specific characteristics of real distribution systems such as unbalanced nature of network and loads, different types of loads, presence of multi‐phase laterals, and capacitive effects of distribution lines are taken into account. The proposed scheme uses only 1 measurement unit at the main substation and 1 measurement unit at the DG bus. In this paper, modified IEEE 34 node test system is simulated by using PSCAD/EMTDC software, and it is used as a test system to evaluate the performance of the proposed method. Different scenarios such as the effect of fault distance, fault type, different fault resistances, and measurement unit errors are evaluated. The results indicate usefulness and precision of the proposed scheme.

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Novel fault location methods for ungrounded radial distribution systems using measurements at substation

Cited by 16 publications

References 18 publications

Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system

Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system

Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks

Accuracy improvement of impedance-based fault locating method in distribution systems with DGs considering loss of laterals and load variations

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