Allocation and Sizing of Distributed Generation (DG) using Salp Swarm Algorithm (SSA)

被引：0

作者：

Shanono, Ibrahim H. ^{[1
]}

Abdullah, N. R. H. ^{[2
]}

Andman, Asraf ^{[2
]}

Mustafa, M. ^{[2
]}

Samad, R. ^{[2
]}

机构：

[1] Bayero Univ Kano, Fac Engn, Elect Dept, Kano, Nigeria

[2] Univ Malaysia Pahang Al Sultan Abdullah, Fac Elect & Elect Engn Technol, Pahang, Malaysia

来源：

9TH INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING, ICOM 2024 | 2024年

关键词：

Distributed Generation; Salp-Swarm Algorithm; Optimization; Losses;

D O I：

10.1109/ICOM61675.2024.10652283

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The focus of this study is on reducing power loss in a distribution system, which is a challenging task. In contrast to the transmission system, power loss in the distribution system is more significant. To achieve maximum benefits, numerous engineering innovations, such as Distributed Generation (DG), have been introduced into the electrical infrastructure. In order to minimize power loss, it is necessary to determine the optimal sizing and location of DG. This study employs the Salp-Swarm Algorithm (SSA) technique to identify the most suitable placement and sizing of DG, with the aim of reducing system losses. The proposed method uses total power loss as the objective function to minimize losses in the system. The effectiveness of the proposed method was demonstrated through its application to the standard IEEE 30-bus Reliability Test System (RTS).

引用

页码：281 / 287

页数：7

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