Fault location and detection techniques in power distribution systems with distributed generation: Kenitra City (Morocco) as a case study

Azeroual, Mohamed; Boujoudar, Younes; Bhagat, Kalsoom; Iysaouy, Lahcen El; Aljarbouh, Ayman; Knyazkov, Alexey; Fayaz, Muhammad; Qureshi, Muhammad Shuaib; Rabbi, Fazle; Markhi, Hassane El

doi:10.1016/j.epsr.2022.108026

Cited by 28 publications

(11 citation statements)

References 29 publications

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“…It learns to approximate hitting and has nonlinear functions thanks to its inference system, which is based on a collection of fuzzy if-then rules [14]. Since then, the universal estimator ANFIS has been presented [15,35]. Data from the PMU on frequency and phase, as well as RMS and phase values depending on the degree of each phase of voltage and current, are used to propose nine different types of predefined faults for the signal under analysis.…”

Section: Established Neural Fuzzy Networkmentioning

confidence: 99%

Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system

Khosravi,

Trik,

Ansari

2024

The Journal of Engineering

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The dynamic nature of distribution networks raises fresh issues with how such electrical systems function. These networks have some characteristics that indicate the need for better monitoring and control capabilities, including dispersed generation employing renewable resources, changing load profiles, and rising reliability requirements. Phasor measurement units (PMUs) offer simultaneous voltage and current phasor measurements at various places and offer a variety of options for gauging the condition and health of the power distribution network. In this regard, a cost‐optimized PMU with some unique features for distribution systems is presented in this work. These features include a fuzzy inference system to determine the root cause of potential electrical disturbances and methods to estimate electrical parameters through measured field data, which are necessities. This study takes into account the modelling of PMUs, utilizing a process for fault detection and classification with a fuzzy inference network. The 9‐bus distribution network's dependability model is built once the components and their functions are first outlined. The proposed model is then used to calculate the availability of the presented model, which has been examined to provide an analogous reliability model for PMUs. Depending on the specific manufacturer, the PMU's design and specs will change. To extract phase and size measurement features for the proposed model adaptive neural‐fuzzy inference system network's training, two PMU structures and associated reliability models are described here. When merging input data for fuzzy neural network prediction using MATLAB software, fuzzy sets are taken into account for error classification analysis.

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Section: Established Neural Fuzzy Networkmentioning

confidence: 99%

Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system

Khosravi,

Trik,

Ansari

2024

The Journal of Engineering

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“…The estimated parameters used by the controller will have the hat notation within this paper. The decoupling inner feedback and the PI controller are given by (8). The block diagram of the whole system is shown in Figure 1.…”

Section: Controller Designmentioning

confidence: 99%

“…Power modules represent 34% of power converters failures and power converters contribute to 80% of total electric drives failures [1], [3]. Moreover, the power devices gathered with their gate drivers and control circuits represent 50% of the industrial power converters which shows the importance of those failures [7], [8]. Open-circuit (OC) and short-circuit are the two main types of failure occurring in power modules.…”

mentioning

confidence: 99%

Open-circuit fault detection of inverter fed PMSM for electrical powertrain applications

Haidar

Douiri

Bartoli

2023

IJPEDS

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This paper aims to enhance the reliability of power electronic converters fed permanent magnet synchronous machine for electrical powertrain applications. Many faults like open circuit may affect the power converter and quickly lead to a decline in supplied power quality and all the power train components behavior. In this framework, this paper proposes an open circuit fault detection scheme for inverters. First, the dynamic models of the powertrain subsystems were developed. In fact, all the mathematics models of the motor, inverter, power converter, battery and charger are presented. Then, a detection scheme of open-circuit fault in inverter/motor. The control schemes were elaborated based on current analysis method. The diagnosis strategy under discontinuous switch-ing dynamics of the DC/AC inverter is proposed.

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“…In 2022, MohamedAzeroual et al [4] developed a technique on the basis of the multi-agent system for fault position and autonomous power restoration in the Power DS which comprises the DG. Effectual detection of fault, localization, highly protection was needed to control the system.…”

Section: Related Workmentioning

confidence: 99%

sRDOs : Substation Remote Diagnostic And Operation Solution for Distribution System Management

2022

JCMPS

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This work presents information regarding the extensive array of issues faced by both the consumers and the electric utilities in the distribution system in developing countries. Additionally, it protects the cost effectual solutions via remote monitoring, network operation, and diagnostic without compromising the reliability of the system. The utilizes transfers from the unintelligent network and manned networks to entirely unmanned smart grids, and switching activities at feeders and substations are controlled and managed remotely using the dedicated systems. The load in Load Voltage (LV) and Medium Voltage (MV) feeders is remotely monitored using the Substation Remote Diagnostic and Operation Solution (sRDOs) and distribution transformers as well as it permits the utility to disconnect non-paying consumers with completely no additional resource deployment and without suspended supply to paying consumers.

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Fault location and detection techniques in power distribution systems with distributed generation: Kenitra City (Morocco) as a case study

Cited by 28 publications

References 29 publications

Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system

Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system

Open-circuit fault detection of inverter fed PMSM for electrical powertrain applications

sRDOs : Substation Remote Diagnostic And Operation Solution for Distribution System Management

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