OPTIMUM SIZING AND SITING OF TCSC USING RANDOM WEIGHTED - GENETIC ALGORITHM IN POWER SYSTEM

被引：0
作者：
Kanimozhi, R. [1 ]
Selvi, K. [2 ]
Prabakaran, R. [1 ]
机构：
[1] Anna Univ, BIT Campus, Tiruchirappalli, Tamil Nadu, India
[2] Thiyagarajar Coll Engn, Madurai, Tamil Nadu, India
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2016年 / 78卷 / 04期
关键词：
New Voltage Stability Index (NVSI); TCSC; rw-Genetic Algorithm; Voltage stability; optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a voltage stability index based method to locate series compensation of transmission lines using random weighted Genetic Algorithm (rwGA) to improve the loading margin by incorporating elitism and Dynamic Crowding Distance (DCD). Minimization of total loss and load bus voltage deviation is considered as the main objective and minimization of the investment cost of Thyristor Controlled Series Compensator (TCSC) and overall annual operating cost is taken as sub objective to maximize the social welfare. This proposed method is validated in IEEE 30 bus and a practical Tamil Nadu Electricity Board (TNEB) 69 bus system in India.
引用
收藏
页码：195 / 214
页数：20
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