Optimal Placement of Single and Multiple FACTS Controllers Using Genetic Algorithm

被引：0

作者：

Bamigbade, Abdullateef T. ^{[1
]}

Oluseyi, Peter O. ^{[1
]}

机构：

[1] Univ Lagos, Dept Elect & Elect Engn, Lagos, Nigeria

来源：

2020 IEEE PES & IAS POWERAFRICA CONFERENCE | 2020年

关键词：

FACTS; genetic algorithm; optimization; location; power flow; DEVICES;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The increasing interest in the integration of Flexible AC Transmission Systems (FACTS) controllers into electrical networks in recent time is largely due to its proven technical, economic and environmental benefit. These benefits may be maximized by situating these controllers in their optimal location. Consequently, this work utilizes a non-traditional optimization technique to optimize the parameters of FACTS controllers for their optimal placement. Single and multiple FACTS integration has been exploited with an aim of reducing generation cost. The results which are encouraging validates the use of various mix of FACTS controllers for power system enhancement.

引用

页数：5

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