Genetic Algorithm Based Approach for Optimal Allocation of TCSC for Power System Loadability Enhancement

被引：0

作者：

Abdelaziz, Almoataz Y. ^{[1
]}

El-Sharkawy, M. A. ^{[1
]}

Attia, M. A. ^{[1
]}

Panigrahi, Bijaya Ketan ^{[2
]}

机构：

[1] Ain Shams Univ, Fac Engn, Dept Elect Power & Machines, Cairo, Egypt

[2] Indian Inst Technol, Dept Elect Engn, Delhi, India

来源：

SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, (SEMCCO 2012) | 2012年 / 7677卷

关键词：

TCSC; Optimal Location; Genetic Algorithms; OPTIMAL LOCATION; FACTS DEVICES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an approach to find the optimal location of thyristor controlled series compensators (TCSC) in a power system to improve the loadability of its lines and minimize its total loss. Also the proposed approach aims to find the optimal number of devices and their optimal compensation levels by using genetic algorithm (GA) based approach with taking into consideration the thermal and voltage limits. Examination of the proposed approach is carried out on a modified IEEE 30-bus system.

引用

页码：548 / 557

页数：10

共 15 条

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