Enhancement of the operating time of the overcurrent relay of the distribution network with high-level penetration of renewable energy sources

• The current output of distribution generation (DG) units interfaced with an inverter during the fault is a major issue for isolated and grid-connected distributed networks. • The current output of DG during the fault depends on solar irradiation and wind speed, increasing the uncertainty due to the intermittent nature of renewable energy sources. • The installation of DG modifies the fault current direction and strength, which makes relay coordination more difficult. • Samples of wind and PV system output power generation are tested on MGs using the Monte Carlo Simulation (MCS) approach. • The proposed probabilistic model has been tested on isolated and grid-connected IEEE 33-bus with 5 DGs MGs. The calculation of the output current of distribution generation (DG) units interfaced with an inverter during the fault is a major issue for isolated and grid-connected distributed networks. The droop control inverter interfaced DG has controlled output current within 2 pu. during the fault. Furthermore, the current output of DG during the fault depends on solar irradiation and wind speed, increasing the uncertainty due to the intermittent nature of renewable energy sources. The installation of DG modifies the fault current direction and strength, which makes relay coordination more difficult. Overcurrent relays are used to defend isolated and grid-connected microgrids. This paper uses different techniques to study the fault current's probability distribution function (PDF) for isolated and grid-connected MGs. We use the droop control and virtual impedance techniques to calculate the probability of the short circuit current that the inverter-interfaced DG contributes. Wind and PV system output power generation samples are tested on MGs using the Monte Carlo Simulation (MCS) approach. A coordination time probability for relays on each line has been calculated to find the mean and standard deviation values of a setting time for overcurrent relays on a faulted bus. The proposed probabilistic model has been tested on the isolated and grid-connected IEEE 33-bus with 5 DGs and MGs using MATLAB code. We found that the droop control method gives a much longer overcurrent relay operating time than the virtual impedance method. This is true for DG buses for both modes of isolated and grid-connected MGs, as well as buses that connect branches. Additionally, for two modes—isolated and grid-connected MGs—the standard deviation of the relay operating time calculated by droop control is higher than its value calculated by the virtual impedance on the same bus.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2025-04-09
DOI
https://doi.org/10.1016/j.rineng.2025.104859
Citations
5
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
6.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancement of the operating time of the overcurrent relay of the distribution network with high-level penetration of renewable energy sources

Mishari Metab Almalki, Emad Abdelkarim, Khairy Sayed, Alaa F.M. Ali et al.
5 citations
Results in Engineering
Power Systems Fault Detection
6.07
article

Enhancement of the operating time of the overcurrent relay of the distribution network with high-level penetration of renewable energy sources

Mishari Metab Almalki, Emad Abdelkarim, Khairy Sayed, Alaa F.M. Ali, Mahmoud Aref, Mahmoud A. Mossa
article en
5 citations

Abstract

• The current output of distribution generation (DG) units interfaced with an inverter during the fault is a major issue for isolated and grid-connected distributed networks. • The current output of DG during the fault depends on solar irradiation and wind speed, increasing the uncertainty due to the intermittent nature of renewable energy sources. • The installation of DG modifies the fault current direction and strength, which makes relay coordination more difficult. • Samples of wind and PV system output power generation are tested on MGs using the Monte Carlo Simulation (MCS) approach. • The proposed probabilistic model has been tested on isolated and grid-connected IEEE 33-bus with 5 DGs MGs. The calculation of the output current of distribution generation (DG) units interfaced with an inverter during the fault is a major issue for isolated and grid-connected distributed networks. The droop control inverter interfaced DG has controlled output current within 2 pu. during the fault. Furthermore, the current output of DG during the fault depends on solar irradiation and wind speed, increasing the uncertainty due to the intermittent nature of renewable energy sources. The installation of DG modifies the fault current direction and strength, which makes relay coordination more difficult. Overcurrent relays are used to defend isolated and grid-connected microgrids. This paper uses different techniques to study the fault current's probability distribution function (PDF) for isolated and grid-connected MGs. We use the droop control and virtual impedance techniques to calculate the probability of the short circuit current that the inverter-interfaced DG contributes. Wind and PV system output power generation samples are tested on MGs using the Monte Carlo Simulation (MCS) approach. A coordination time probability for relays on each line has been calculated to find the mean and standard deviation values of a setting time for overcurrent relays on a faulted bus. The proposed probabilistic model has been tested on the isolated and grid-connected IEEE 33-bus with 5 DGs and MGs using MATLAB code. We found that the droop control method gives a much longer overcurrent relay operating time than the virtual impedance method. This is true for DG buses for both modes of isolated and grid-connected MGs, as well as buses that connect branches. Additionally, for two modes—isolated and grid-connected MGs—the standard deviation of the relay operating time calculated by droop control is higher than its value calculated by the virtual impedance on the same bus.

Results in EngineeringVol. 26
Al Baha University (SA), Aswan University (EG), Minia University (EG), Assiut University (EG), Sohag University (EG)
Affordable and clean energy
Openalex Percentile: Top 4%
Power Systems Fault Detection
6.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.