Advanced active disturbance rejection control for enhancing frequency stability in low-inertia power grids linked with virtual inertia applications

Frequency instability in microgrids (MGs) resulted from the use of Inverter-based generators which lack natural inertia. To overcome this difficulty, this study presents a progressed virtual inertia controller (VIC) that is integrated with a battery energy storage system and has both damping and virtual inertia control loops. With the mounting penetration of renewable energy, an innovative approach that influences Progressive VIC in conjunction with controlled plug-in electric vehicles (PEVs) is obtainable. PEVs' battery storage capacity is used to supply extra frequency regulation services, serving as dispersed energy storage resources to lessen grid frequency variations. The proposed approach employs an Active Disturbance Rejection Controller (ADRC) and uses the Electric Eel Foraging Optimization (EEFO) technique for optimal parameter determination. A frequency control model for microgrids using this progressive VIC was evaluated under numerous operating circumstances and disturbances to reflect variable load and renewable energy generation. The outcomes validate that the ADRC outperforms traditional controllers such as PID, FO-PID, TID, and fuzzy PID in maintaining frequency stability. Also, enhanced VIC and PEVs improve the MG's stability compared to other methods considered. This innovative approach offers a viable remedy for upcoming microgrid designs by improving microgrid frequency stability and lowering the risk of frequency instability.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2025-02-01
DOI
https://doi.org/10.1016/j.heliyon.2025.e42556
Citations
10
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
12.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced active disturbance rejection control for enhancing frequency stability in low-inertia power grids linked with virtual inertia applications

Omar Alrumayh, Mohamed Khamies, Khairy Sayed, Abdulaziz Almutairi et al.
10 citations
Heliyon
Microgrid Control and Optimization
12.15
article

Advanced active disturbance rejection control for enhancing frequency stability in low-inertia power grids linked with virtual inertia applications

Omar Alrumayh, Mohamed Khamies, Khairy Sayed, Abdulaziz Almutairi, Alaa A. Mahmoud
article en
10 citations

Abstract

Frequency instability in microgrids (MGs) resulted from the use of Inverter-based generators which lack natural inertia. To overcome this difficulty, this study presents a progressed virtual inertia controller (VIC) that is integrated with a battery energy storage system and has both damping and virtual inertia control loops. With the mounting penetration of renewable energy, an innovative approach that influences Progressive VIC in conjunction with controlled plug-in electric vehicles (PEVs) is obtainable. PEVs' battery storage capacity is used to supply extra frequency regulation services, serving as dispersed energy storage resources to lessen grid frequency variations. The proposed approach employs an Active Disturbance Rejection Controller (ADRC) and uses the Electric Eel Foraging Optimization (EEFO) technique for optimal parameter determination. A frequency control model for microgrids using this progressive VIC was evaluated under numerous operating circumstances and disturbances to reflect variable load and renewable energy generation. The outcomes validate that the ADRC outperforms traditional controllers such as PID, FO-PID, TID, and fuzzy PID in maintaining frequency stability. Also, enhanced VIC and PEVs improve the MG's stability compared to other methods considered. This innovative approach offers a viable remedy for upcoming microgrid designs by improving microgrid frequency stability and lowering the risk of frequency instability.

HeliyonVol. 11(4)
City College of New York (US), Qassim University (SA), Majmaah University (SA), Sohag University (EG)
Qassim University
Affordable and clean energy
Openalex Percentile: Top 1%
Microgrid Control and Optimization
12.15
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.