Optimal Location and Size of Distributed Generators in an Elecric Distribution System based on a Novel Metaheuristic Algorithm

被引：0

作者：

Trieu Ngoc Ton ^{[1
]}

Thuan Thanh Nguyen ^{[2
]}

Viet Anh Truong ^{[1
]}

Tu Phan Vu ^{[3
]}

机构：

[1] HCMC Univ Technol & Educ, Fac Elect & Elect Engn, Ho Chi Minh City, Vietnam

[2] Ind Univ Ho Chi Minh City, Fac Elect Engn Technol, Ho Chi Minh City, Vietnam

[3] Vietnam Natl Univ HCMC, Postgrad Training Comm, Ho Chi Minh City, Vietnam

来源：

ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH | 2020年 / 10卷 / 01期

关键词：

distributed generators; coyote algorithm; electric distribution system; power loss; radial configuration; POWER LOSS MINIMIZATION; NETWORK RECONFIGURATION; ALLOCATION; OPTIMIZATION; PLACEMENT;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes a method for optimizing the location and size of Distributed Generators (DGs) based on the Coyote Algorithm (COA), in order to minimize the power loss in an Electric Distribution System (EDS). Compared to other algorithms, COA does not need control parameters during its execution. The effectiveness of COA was evaluated in an EDS with 33 nodes for two scenarios: the optimization of location and capacity of DGs in an initial radial configuration, and the best radial configuration for power loss reduction. Results were compared with other methods, showing that the proposed COA is a reliable tool for optimizing the location and size of DGs in an EDS.

引用

页码：5325 / 5329

页数：5

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