Evidence map›Paper›PMID 41168424›Full record

ArticleScientific reports2025

Enhanced hybrid microgrid stability with electric vehicle integration using PDA-FOPIID control optimized by tianji's horse racing algorithm.

Hossam Kotb, Ali M Elkassas, Ashraf Ibrahim Megahed, Muhammad R Hammad, Kareem M AboRas

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.

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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

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2 · The registry

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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

5 authors.

Hossam KotbDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt. hossam.kotb@alexu.edu.eg.
Ali M ElkassasDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
Ashraf Ibrahim MegahedDepartment 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.
Kareem M AboRasDepartment 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 stable voltage and frequency regulation in hybrid microgrids has become a pressing challenge due to the increasing penetration of renewable energy sources and the integration of electric vehicles. The strong coupling between active and reactive power dynamics often leads to instability, degraded dynamic performance, and difficulties in maintaining tie-line power balance. To address these challenges, this study proposes a novel cascaded controller that combines Proportional-Derivative-Acceleration (PDA) and Fractional-Order Proportional-Integral-Double Integral-Derivative (FOPIID) control strategies, optimized using Tianji's Horse Racing Optimization (THRO) algorithm. The proposed PDA-FOPIID controller functions as a robust secondary control strategy that effectively decouples voltage and frequency regulation while improving transient response. Optimization through THRO ensures superior performance compared to other well-known metaheuristic algorithms, achieving the lowest Integral Time-Square Error (ITSE) value of 0.0297. Extensive MATLAB/Simulink simulations under diverse operating conditions including step load changes, random fluctuations, multi-step perturbations, and high renewable penetration demonstrate the controller's effectiveness. Comparative results against several benchmark controllers, namely Proportional-Integral-Derivative (PID), Tilt-Integral-Derivative (TID), Fractional-Order PID (FOPID), PD-(1 + PI), and FOPI-PIDD², confirm that the proposed PDA-FOPIID achieves approximately 48% faster settling time, improved damping, and superior voltage and frequency stability. These findings highlight its potential as a promising solution for enhancing the reliability and resilience of modern hybrid microgrids with high renewable and electric vehicle integration.

Indexed as

AVRCascade controllerDual-area interconnected hybrid power systemEV(FOPIID) controllerLFCMicrogrid(PDA) controllerRESTianji’s horse racing optimization

Identifiers

PMID41168424
PMCPMC12575832

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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.