Evidence map›Paper›PMID 41455718›Full record

ArticleScientific reports2025

Optimized cascaded regulation strategy for robust automatic generation control in renewable-integrated power networks.

Kareem M AboRas, Mohammed Hassan El-Banna, Ahmed M El-Wakil, Muhammad R Hammad

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kareem M AboRasDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt. kareem.aboras@alexu.edu.eg.
Mohammed Hassan El-BannaDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
Ahmed M El-WakilDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
Muhammad R HammadDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring stability of both voltage and frequency in linked power networks (LPNs) is a critical challenge, primarily due to their nonlinear dynamics and load variability. Due to the high penetration of intermittent renewable energy sources, traditional Load Frequency Control (LFC) and Automatic Voltage Regulation (AVR) schemes often struggle to ensure fast, robust, and coordinated regulation in modern multi-area hybrid grids. To address these limitations, this research introduces a novel cascaded control architecture developed for Load Frequency Control (LFC) and Automatic Voltage Regulation (AVR) within a three-area hybrid LPN comprising thermal, wind, hydro, photovoltaic, and diesel generation sources. The proposed framework integrates three cascaded regulators: FOPI, TIDμ, and PIDA. Combining strengths of the three controllers provides better transient response, higher robustness against system uncertainties, and Improved steady-state accuracy. Also, for better performance, the parameters of the proposed controller are optimally selected using a recent developed optimization algorithm called Differential Creative Search (DCS). All simulations were carried out in MATLAB/Simulink environment. The obtained results are comprehensively compared to results obtained by utilizing other algorithms, Artificial Ecosystem-based Optimization (AEO), Dandelion Optimizer (DO), and the Runge-Kutta Optimization (RUN) algorithm. Results indicate that the DCS algorithm achieved the superior outcome, attaining the lowest objective function value of 0.0507, surpassing AEO, DO, and RUN with values of 0.0706, 0.0789, and 0.0649, respectively. Furthermore, the proposed controller was benchmarked against advanced control strategies such as FOPI-PI, TFOIDFF, and FOPI-PIDD2, yielding improvements in objective function values by 28.89%, 54.89%, and 26.42%, respectively. The simulation findings demonstrate that the FOPI-TIDμ-PIDA controller ensures significantly reduced overshoot by less than 0.12 Hz, faster settling times by less than 9.4 s, and enhanced voltage-frequency regulation even under ±25% variations in system parameters. Collectively, these results Proves the robustness, adaptability, and effectiveness of the proposed controller in advancing the stability and resilience of sustainable hybrid linked power networks.

Indexed as

AGCDifferentiated creative search algorithmFOPI-TIDμ-PIDA controllerGreen energy sourcesHybrid three-area systemLFC-AVR

Identifiers

PMID41455718
PMCPMC12749949

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.