Jul 2026· International Seminar on Intelligent Technology and Its Applications· pp. 164-169· 0 citations· 21 references
Abstract
The increasing penetration of distributed generation (DG) has raised short-circuit current levels, potentially affecting the coordination of overcurrent relays (OCRs) used for distribution network protection. To address this issue, this study applies the grasshopper optimization algorithm (GOA) to optimize the time dial setting (TDS) with the objective of minimizing the total operating time of main relays while satisfying the required coordination time interval (CTI) constraints. The optimization results are compared with those obtained using particle swarm optimization (PSO) for three IEC standard inverse-time characteristics, and the selected characteristic is validated using ETAP simulations. The optimization results show that the Extremely Inverse (EI) characteristic achieves the minimum total main relay operating time of 3.0780 s while maintaining the minimum CTI requirement of 0.20 s. Furthermore, GOA produces optimization results comparable to PSO, with differences of less than 0.3% across all tested characteristics. These findings indicate that GOA is an effective alternative for improving OCR coordination while maintaining the required CTI standards.
The meerkat optimization algorithm (MOA) is used in this study to suggest an effective multi-objective optimization framework for the best location and dimensions of electric vehicle charging stations (EVCSs) in radial distribution systems (RDS). The performance of the system in terms of power loss and voltage stabilit...
Madhubabu Thiruveedula, Sandeep Dharavath, Jarpula Ganesh Naik et al.· International Journal of App...· 0 citations
Over the past decade, the impact of distributed generation (DG), including both renewable and non-renewable sources, has significantly increased in power distribution systems. This paper proposes an Adaptive Spider Monkey Optimization (ASMO) algorithm to determine the optimal placement and sizing of DG units for improv...
Y. Santhosh, J. Upendar· Journal of engineering and a...· 0 citations
This paper investigates the problem of multi-objective optimization of a distribution network using BESS. For a test network model, the placement and capacity of BESS were optimized based on criteria such as energy losses, as well as the reliability metrics SAIDI, SAIFI and eENS. Calculations were carried out using qua...
T. Katsadze, D. Borsuk· Praci Institutu elektrodinam...· 0 citations
This article presents a hybrid optimization framework that combines particle swarm optimization (PSO) and the genetic algorithm (GA) for determining the optimal placement and sizing of passive harmonic filters in distribution systems. The objective is to reduce voltage distortion and active power losses while satisfyin...
Ahlam Abuzahew, M. Firat, H. Abunima et al.· Energy Exploration & Exp...· 0 citations
Active distribution networks (ADNs) achieve the secure and cost-effective operation of distribution grids by coordinating controllable assets integrated in the grid. However, against the backdrop of the persistent rise of the grid-connected capacity of distributed generation (DG), ADNs are confronted with considerabl...
Han Kong, Chen-Bo Zhang, Qiang Guo et al.· Engineering Research Express· 0 citations
This study presents a coordinated optimization methodology for the simultaneous placement and sizing of photovoltaic (PV) generators and static var compensators (SVC) in radial distribution networks. The objective is to address the challenges of intermittency and voltage profile degradation in regions with high solar r...
Hassane Ousseyni Ibrahim, Abdoul Malik Maman Issaka, Arouna Oloulade et al.· Advanced Engineering Forum· 0 citations
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