Abstract
The extensive integration of renewable energy resources (RERs) into modern power grids (MPGs), which severely lowers system inertia, standing severe frequency variations. These grids are vulnerable to cyber- attacks and natural uncertainties, creating a crucial need for resilient control schemes. This article introduces a novel resilience-coordinated scheme for interconnected MPGs. The scheme integrates Accelerating Virtual Rotor Control (AVRC) with Load Frequency Control (LFC), both governed by a modified Active Disturbance Rejection Controller (ADRC-IR). To optimize this controller's performance, a modified Horned Lizard Optimization Algorithm (MHLOA) is developed, enhancing its global search capabilities and convergence. MHLOA effectiveness is confirmed using a standard benchmark function. The ADRC-IR controller significantly reduces frequency and tie-line power deviations in the LFC system by 87.07%, 83.82%, and 76.54% respectively, compared to the TID, ADRC, and ADRC-PR controllers under high RESs penetration. Furthermore, the proposed AVRC/I & LFC strategy relied on ADRC-IR, which improves MPGs performance by 62.37%, 35.86%, and 30.22% when compared to (i) MPGs without AVRC/I, (ii) MPGs with LFC & AVRC/I, and (iii) MPGs with LFC & AVRC/I relied on a PI controller under high RESs penetration and cyber-attacks. The proposed scheme effectively preserves frequency stability within acceptable boundaries, demonstrating its resilience against MPGs challenges.
| Original language | English |
|---|---|
| Article number | 101445 |
| Journal | Sustainable Computing: Informatics and Systems |
| Volume | 52 |
| DOIs | |
| State | Published - Dec 2026 |
Bibliographical note
Publisher Copyright:© 2026 Elsevier Inc.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Load Frequency Control
- Microgrids
- Nonlinear Control, Active Disturbance Rejection Controller
- Renewable Energy Sources
- Virtual Inertia Control
ASJC Scopus subject areas
- General Computer Science
- Electrical and Electronic Engineering
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