Alqahtani Mohammed H, Almutairi Sulaiman Z, Aljumah Ali S, Ginidi Ahmed R, Shaheen Abdullah M
Department of Electrical Engineering, College of Engineering, Prince Sattam bin Abdulaziz Universi-ty, Al Kharj, 16278, Saudi Arabia.
Department of Electrical Engineering, Faculty of Engineering, Suez University, P.O. Box: 43221, Suez, Egypt.
Heliyon. 2024 Jul 10;10(14):e34326. doi: 10.1016/j.heliyon.2024.e34326. eCollection 2024 Jul 30.
This article introduces an innovative application of the Enhanced Gorilla Troops Algorithm (EGTA) in addressing engineering challenges related to the allocation of Thyristor Controlled Series Capacitors (TCSC) in power grids. Drawing inspiration from gorilla group behaviors, EGTA incorporates various methods, such as relocation to new areas, movement towards other gorillas, migration to specific locations, following the silverback, and engaging in competitive interactions for adult females. Enhancements to EGTA involve support for the exploitation and the exploration, respectively, through two additional strategies of periodic Tangent Flight Operator (TFO), and Fitness-based Crossover Strategy (FCS). The paper initially evaluates the effectiveness of EGTA by comparing it to the original GTA using numerical CEC 2017 single-objective benchmarks. Additionally, various recent optimizers are scrutinized. Subsequently, the suitability of the proposed EGTA for the allocation of TCSC apparatuses in transmission power systems is assessed through simulations on two IEEE power grids of 30 and 57 buses, employing various TCSC apparatus quantities. A comprehensive comparison is conducted between EGTA, GTA, and several other prevalent techniques in the literature for all applications. According to the average attained losses, the presented EGTA displays notable reductions in power losses for both the first and second systems when compared to the original GTA. Specifically, for the first system, the proposed EGTA achieves reductions of 1.659 %, 2.545 %, and 4.6 % when optimizing one, two, and three TCSC apparatuses, respectively. Similarly, in the second system, the suggested EGTA achieves reductions of 6.096 %, 7.107 %, and 4.62 %, respectively, when compared to the original GTA's findings considering one, two, and three TCSC apparatuses. The findings underscore the superior effectiveness and efficiency of the proposed EGTA over both the original GTA and several other contemporary systems.
本文介绍了增强型大猩猩部队算法（EGTA）在解决与电网中晶闸管控制串联电容器（TCSC）配置相关的工程挑战方面的创新应用。EGTA从大猩猩群体行为中汲取灵感，纳入了各种方法，如迁移到新区域、向其他大猩猩移动、迁移到特定位置、跟随银背大猩猩以及为成年雌性进行竞争性互动。对EGTA的增强分别通过周期性切线飞行算子（TFO）和基于适应度的交叉策略（FCS）这两种额外策略来支持利用和探索。本文首先通过使用数值CEC 2017单目标基准将EGTA与原始GTA进行比较，评估了EGTA的有效性。此外，还对各种近期的优化器进行了审查。随后，通过在两个分别具有30和57条母线的IEEE电网中进行仿真，采用不同数量的TCSC装置，评估了所提出的EGTA在输电电力系统中配置TCSC装置的适用性。针对所有应用，对EGTA、GTA和文献中的其他几种流行技术进行了全面比较。根据平均获得的损耗，与原始GTA相比，所提出的EGTA在第一个和第二个系统中均显示出显著的功率损耗降低。具体而言，对于第一个系统，在优化一个、两个和三个TCSC装置时，所提出的EGTA分别实现了1.659%、2.545%和4.6%的降低。同样，在第二个系统中，与考虑一个、两个和三个TCSC装置的原始GTA结果相比，所建议的EGTA分别实现了6.096%、7.107%和4.62%的降低。研究结果强调了所提出的EGTA相对于原始GTA和其他几种当代系统具有更高的有效性和效率。
