An optimal coordination of directional overcurrent relays using a Gorilla troops optimizer

Merabet, Oussama; Bouchahdane, M.; Hamza, Belmadani; Kheldoun, Aissa; Ahmed, Eltom; Bradai, Rafik

doi:10.1109/icaeccs56710.2023.10105106

Cited by 4 publications

References 10 publications

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Optimizers for optimal coordination of distance relays and non-standard characteristics of directional overcurrent relays

2023

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In this paper, different methods are utilized to solve the coordination issue involving directional overcurrent relays (DOCRs) and distance relays. The proper coordination of DOCRs and distance relays is a critical issue for system security in electrical networks. Finding the DOCRs setting, pickup current(Ip) and timed dial setting (TDS), and operating time for zone-2 of distance relays is the primary objective of solving the coordination problem. The constant parameters A & B of the directional overcurrent relay that are responsible to control the form of the relay´s characteristics as well as the Ip and TDS have been regarded as variables in this problem. The optimal value for these four DOCR settings has been determined using different optimization techniques. The primary and backup relays must operate sequentially and without any violations, and this must be guaranteed by optimization techniques. In order to determine the operation time for zone-2 and DOCRs setting, optimization methods are examined utilizing the 8-bus and IEEE 30-bus networks. Different optimization algorithms, including recent and traditional techniques, are compared. The obtained results show the superiority of the genetic algorithm (GA) in solving the coordination problem of distance relays and DOCRs. Also, the obtained results prove the ability of the GA method compared to the particle swarm algorithm (PSO), grey wolf optimization (GWO), water cycle technique (WCA), equilibrium optimizer (EO), African vultures optimization algorithm (AVOA), flow direction algorithm (FDA), and gorilla troops optimizer (GTO) techniques.

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Optimizers for optimal coordination of distance relays and non-standard characteristics of directional overcurrent relays

2023

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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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An adaptive protection coordination for microgrids utilizing an improved optimization technique for user-defined DOCRs characteristics with different groups of settings considering N-1 contingency

Merabet,

Kheldoun,

Bouchahdane

et al. 2024

Expert Systems with Applications

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An optimal coordination of directional overcurrent relays using a Gorilla troops optimizer

Cited by 4 publications

References 10 publications

Optimizers for optimal coordination of distance relays and non-standard characteristics of directional overcurrent relays

Optimizers for optimal coordination of distance relays and non-standard characteristics of directional overcurrent relays

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

An adaptive protection coordination for microgrids utilizing an improved optimization technique for user-defined DOCRs characteristics with different groups of settings considering N-1 contingency

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