Novel fault location algorithm for meshed distribution networks with DERs

Silos, Angel; Villafáfila‐Robles, Roberto; Lloret-Gallego, Pau

doi:10.1016/j.epsr.2019.106182

Cited by 23 publications

(8 citation statements)

References 38 publications

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“…This is a condition required to control distribution faults in an effective and efficient approach to facilitate maintaining the quality of service by reducing the outage time [61]. In this regard, the quality of the electric power system supply can be clearly defined in terms of PQ [62]. Under the scope of DNS operation, accessibility in DNS is of vital importance to sustain reliability [62].…”

Section: Change On Dns Fault Levelmentioning

confidence: 99%

An Integrated of Hydrogen Fuel Cell to Distribution Network System: Challenging and Opportunity for D-STATCOM

Adzman

Zali

2021

Energies

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The electric power industry sector has become increasingly aware of how counterproductive voltage sag affects distribution network systems (DNS). The voltage sag backfires disastrously at the demand load side and affects equipment in DNS. To settle the voltage sag issue, this paper achieved its primary purpose to mitigate the voltage sag based on integrating a hydrogen fuel cell (HFC) with the DNS using a distribution static synchronous compensator (D-STATCOM) system. Besides, this paper discusses the challenges and opportunities of D-STATCOM in DNS. In this paper, using HFC is well-designed, modeled, and simulated to mitigate the voltage sag in DNS with a positive impact on the environment and an immediate response to the issue of the injection of voltage. Furthermore, this modeling and controller are particularly suitable in terms of cost-effectiveness as well as reliability based on the adaptive network fuzzy inference system (ANFIS), fuzzy logic system (FLC), and proportional–integral (P-I). The effectiveness of the MATLAB simulation is confirmed by implementing the system and carrying out a DNS connection, obtaining efficiencies over 94.5% at three-phase fault for values of injection voltage in HFC D-STATCOM using a P-I controller. Moreover, the HFC D-STATCOM using FLC proved capable of supporting the network by 97.00%. The HFC D-STATCOM based ANFIS proved capable of supporting the network by 98.00% in the DNS.

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Section: Change On Dns Fault Levelmentioning

confidence: 99%

An Integrated of Hydrogen Fuel Cell to Distribution Network System: Challenging and Opportunity for D-STATCOM

Adzman

Zali

2021

Energies

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“…The detection speed and accuracy have been raised using heuristic and intelligent methods. These techniques often use the high frequency component of the voltage and current and require large databases or smart devices [7][8][9][10][11]. Jiang establishes a mixed integer linear programming (MILP) method for estimating the faulty line section using the incomplete and incorrect smart fault indicators (SFIs) statuses [7].…”

Section: Introductionmentioning

confidence: 99%

“…This method has been investigated for different operation conditions including the presence of DGs. Silos-Sanchez, et al provides an algorithm for active distribution network which has the capability of combination with internet of things (IoT) and is independent of the network topology [9]. Buzo, et al developed a fault location methodology for both active and passive distribution networks [10].…”

Section: Introductionmentioning

confidence: 99%

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Accurate fault location method for distribution network in presence of DG using distributed time‐domain line model

Mohajer

Sadeh

2021

IET Generation Trans & Dist

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In this paper a novel technique is presented for fault location in distribution networks in the presence of distributed generators (DGs). The proposed approach uses recorded voltage and current at the beginning of feeder and DG terminals. This method is based on transient state data, and due to presence of high frequencies in this state, to achieve high accuracy it utilizes the distributed time-domain (DTD) line model. The fault location problem is formulated as an optimization problem and is solved using Genetic Algorithm (GA). Through modal transformation, in addition to locate the symmetrical three-phase to ground (3LG) faults, the location of asymmetrical faults including single line to ground (SLG) and double line (LL) faults can also be determined. The effects of fault distance, fault resistance and fault inception angle on the accuracy of the proposed algorithm have also been investigated. A solution is also proposed to overcome the multi-response problem. The simulations are conducted and the results are obtained via PSCAD and MATLAB softwares, respectively. The effectiveness of the proposed approach has been verified using the modified IEEE 34-node test feeder under different fault conditions. The simulation results demonstrate the high efficiency and accuracy of the proposed method.

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“…Ref. [ 19 ] proposed a new single-phase to ground fault location algorithm based on DERS (Distributed Energy Resources). It only needs fault information provided by the directional fault passage indicator and intelligent electronic device, and it does not need to know the status of the circuit breaker or the network topology.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection and Isolation Methods in Subsea Observation Networks

Xiao

Yao

Chen

et al. 2020

Sensors

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Subsea observation networks have gradually become the main means of deep-sea exploration. The reliability of the observation network is greatly affected by the severe undersea conditions. This study mainly focuses on theoretical research and the experimental platform verification of high-impedance and open-circuit fault detection for an underwater observation network. With the aid of deep learning, we perform the fault detection and prediction of the network operation. For the high-impedance and open-circuit fault detection of submarine cables, the entire system is modeled and simulated, and the voltage and current values of the operating nodes under different fault types are collected. Numerous calibrated data samples are supervised by a deep learning algorithm, and a fault location system model is built in the laboratory to verify the feasibility and superiority of the scheme. This paper also studies the fault isolation of the observation network, focusing on the communication protocol and the design of the fault isolation system. Experimental results verify the effectiveness of the proposed algorithm for the location and prediction of high-impedance and open-circuit faults, and the feasibility of the fault isolation system has also been verified. Moreover, the proposed methods greatly improve the reliability of undersea observation network systems.

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Novel fault location algorithm for meshed distribution networks with DERs

Cited by 23 publications

References 38 publications

An Integrated of Hydrogen Fuel Cell to Distribution Network System: Challenging and Opportunity for D-STATCOM

An Integrated of Hydrogen Fuel Cell to Distribution Network System: Challenging and Opportunity for D-STATCOM

Accurate fault location method for distribution network in presence of DG using distributed time‐domain line model

Fault Detection and Isolation Methods in Subsea Observation Networks

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