Simplified Method for Single Line to Ground-Fault Location in Electrical Power Distribution Systems

Zahri, Mustapha; Menchafou, Youssef; Markhi, Hassane El; Hammami, Mohamed

doi:10.11591/ijece.v5i2.pp221-230

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…A multi-agent system (MAS) is usually classified as an efficient real-time platform and represents a new field in artificial intelligence that applied for the self-regulation, stability, and protection of power systems (Zahri et al, 2015). Abbaspour et al (2019) a multi-level based on the multi-agent system for power grid protection to support the coordination of overcurrent relays in the connection of DGs.…”

Section: Introductionmentioning

confidence: 99%

A multi-agent-based for fault location in distribution networks with wind power generator

et al. 2021

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The integration of distributed generation (DG) units such as wind power into the distribution network are one of the most viable technique to meet the energy demand increases. But, the integration of these DG units into power systems can change the dynamic performances of the systems and create new challenges that are necessary to be taken care of in the operation of the network. The fault location and diagnosis are the most significant technical challenges that can improve power systems’ reliability and stability. In this paper, a Multi-Agent System (MAS) based on current amplitude and current direction measured proposed for fault location, isolation, and power restoration in a smart distribution system with the presence of a wind power generator. The agents can communicate and collaborate to locate the faulted line, then send trips signal to corresponding circuit breakers accordingly. The simulation results show the performance of the proposed techniques.

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Section: Introductionmentioning

confidence: 99%

A multi-agent-based for fault location in distribution networks with wind power generator

et al. 2021

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“…Transient currents caused by faults and lightning strikes have significant effects on power system performance [1,2]. Thw high amplitude currents are dispersed into the earth through the grounding electrodes embedded inside the soil [3].…”

Section: Introductionmentioning

confidence: 99%

Integration of Frequency Dependent Soil Electrical Properties in Grounding Electrode Circuit Model

Mokhtari

Abdul‐Malek

Wooi

2016

IJECE

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<span>The effect of frequency dependent soil properties on the impedance and transient response of the grounding electrode was investigated. The frequency dependent soil models as proposed by Scott, Smith-Longmire, and Visacro-Alipio were critically reviewed. A novel method was proposed to integrate the frequency dependent soil electrical properties in the circuit model of grounding electrode. To validate the application of the method in circuit model, the voltage responses of the grounding electrode obtained by the circuit and electromagnetic models were compared. The voltage responses obtained by the circuit and electromagnetic models were in excellent agreement in terms of voltage peaks and wave shapes. The differences between voltage peaks obtained by the circuit and electromagnetic models were found less than 1%.</span>

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Deep learning approaches for fault detection and classifications in the electrical secondary distribution network: Methods comparison and recurrent neural network accuracy comparison

et al. 2020

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Simplified Method for Single Line to Ground-Fault Location in Electrical Power Distribution Systems

Cited by 5 publications

References 14 publications

A multi-agent-based for fault location in distribution networks with wind power generator

A multi-agent-based for fault location in distribution networks with wind power generator

Integration of Frequency Dependent Soil Electrical Properties in Grounding Electrode Circuit Model

Deep learning approaches for fault detection and classifications in the electrical secondary distribution network: Methods comparison and recurrent neural network accuracy comparison

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