Genetic Algorithm Approach for Optimal Power Flow with FACTS devices

被引：0

作者：

Banu, R. Narmatha ^{[1
]}

Devaraj, D. ^{[1
]}

机构：

[1] Arulmigu Kalasalingam Coll Engn, Dept Elect & Elect Engn, Krishnan Koil 626190, India

来源：

2008 4TH INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年

关键词：

Power system security; Flexible AC transmission system (FACTS) devices; Security Enhancement; Thyristor controlled series capacitors (TCSCs);

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 a Genetic Algorithm (GA) based approach for solving the optimal power flow with FACTS devices to eliminate tine over loads in the system following single line outages. The proposed approach introduces an index called the single contingency sensitivity (SCS) index to rank the system branches according to their suitability for installing Thyristor Controlled Series Capacitors(TCSCs). Once the locations are determined, the problem of identifying the optimal TCSC parameters is formulated as an optimization problem and a GA based approach is applied to solve the Optimal Power Flow (OPF) problem. IEEE 30 bus system is considered to demonstrate the suitability of this algorithm. Case studies on IEEE test system show the effectiveness of this algorithm

引用

页码：861 / 866

页数：6

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