Real‐time implementation and evaluation of gorilla troops optimization‐based control strategy for autonomous microgrids

Maged, Nourhan A.; Hasanien, Hany M.; Ebrahim, Essamudin A.; Tostado‐Véliz, Marcos

doi:10.1049/rpg2.12559

Cited by 11 publications

(2 citation statements)

References 53 publications

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“…23. To facilitate communication between the host development platform and the target publishing platform [23], the OPAL real-time emulator (OP4510) was employed [24]. The comprehensive architec-ture of OP4510, as given in [25] and [26], enabled the simulation of the Hardware-in-the-Loop configuration.…”

Section: B Real-time Simulation Resultsmentioning

confidence: 99%

Stability Analysis and Active Damping Design for Grid-Forming Converters in LC Resonant Grids

LIU,

Wu,

Wang

et al. 2024

IEEE Open J. Ind. Electron. Soc.

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In this paper, a small-signal model of grid-forming (GFM) converters that takes into account the presence of ac shunt capacitors in the power grid is presented. It is revealed that the inclusion of shunt ac capacitors in GFM converters leads to the emergence of two new resonant peaks in the loop gain of the active power control (APC) loop, in addition to the fundamental-frequency resonant peak that was previously identified in the literature. Further analysis based on the equivalent APC considering P/Q coupling has confirmed the same destabilization effect of ac shunt capacitors by introducing two extra resonant peaks. Based on the insight, it is suggested that the active damping control needs to be adapted to effectively dampen all three resonant peaks to ensure the stable operation of GFM converters. Finally, simulations and real-time simulations are carried out to corroborate the theoretical findings.

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Section: B Real-time Simulation Resultsmentioning

confidence: 99%

Stability Analysis and Active Damping Design for Grid-Forming Converters in LC Resonant Grids

LIU,

Wu,

Wang

et al. 2024

IEEE Open J. Ind. Electron. Soc.

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“…Grasshopper optimization algorithms GOA [36] and African Vulture Optimization (AVOA) are used to enhance the performance of hybrid renewable energy [37], and whale optimization algorithms [38,39] are used to enhance the performance of the PI controller. Gorilla tropical optimization GTO [40,41] is a population-based meta-heuristic designed to perform high exploration and exploitation. Also, GTO has a rapid convergence diagram.…”

Section: Literature Reviewmentioning

confidence: 99%

Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm

Mohamed

Hasanien

Al‐Ammar

et al. 2023

IET Generation Trans & Dist

Self Cite

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This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism.

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An in-depth survey of the artificial gorilla troops optimizer: outcomes, variations, and applications

Hussien,

Bouaouda,

Alzaqebah

et al. 2024

Artif Intell Rev

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A recently developed algorithm inspired by natural processes, known as the Artificial Gorilla Troops Optimizer (GTO), boasts a straightforward structure, unique stabilizing features, and notably high effectiveness. Its primary objective is to efficiently find solutions for a wide array of challenges, whether they involve constraints or not. The GTO takes its inspiration from the behavior of Gorilla Troops in the natural world. To emulate the impact of gorillas at each stage of the search process, the GTO employs a flexible weighting mechanism rooted in its concept. Its exceptional qualities, including its independence from derivatives, lack of parameters, user-friendliness, adaptability, and simplicity, have resulted in its rapid adoption for addressing various optimization challenges. This review is dedicated to the examination and discussion of the foundational research that forms the basis of the GTO. It delves into the evolution of this algorithm, drawing insights from 112 research studies that highlight its effectiveness. Additionally, it explores proposed enhancements to the GTO’s behavior, with a specific focus on aligning the geometry of the search area with real-world optimization problems. The review also introduces the GTO solver, providing details about its identification and organization, and demonstrates its application in various optimization scenarios. Furthermore, it provides a critical assessment of the convergence behavior while addressing the primary limitation of the GTO. In conclusion, this review summarizes the key findings of the study and suggests potential avenues for future advancements and adaptations related to the GTO.

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Real‐time implementation and evaluation of gorilla troops optimization‐based control strategy for autonomous microgrids

Cited by 11 publications

References 53 publications

Stability Analysis and Active Damping Design for Grid-Forming Converters in LC Resonant Grids

Stability Analysis and Active Damping Design for Grid-Forming Converters in LC Resonant Grids

Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm

An in-depth survey of the artificial gorilla troops optimizer: outcomes, variations, and applications

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