Genetic Algorithm Based Optimal Location of SVC in Power System for Voltage Stability Enhancement

被引:0
|
作者
Skaria, Nithin A. [1 ]
Baby, Sarin [1 ]
Anumodu, D. M. [1 ]
机构
[1] Amaljyothi Coll Engn, Dept Elect & Elect Engn, Kottayam, Kerala, India
来源
2014 ANNUAL INTERNATIONAL CONFERENCE ON EMERGING RESEARCH AREAS: MAGNETICS, MACHINES AND DRIVES (AICERA/ICMMD) | 2014年
关键词
Continuation power flow; FACTS; genetic algorithm; static var compensator;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Voltage instability and voltage collapse are the foremost permanent concerns of electric utilities because of blackout event occurrences around the world. Flexible AC Transmission Systems (FACTS) has been proposed as the better alternative to overcome this, as in addition to improving voltage stability they improve system performance, reliability, quality of supply and also provide environmental benefit. The type of FACTS device and their location and setting in the system have different effect on power system. For determining that optimal location which maximises voltage stability, this paper employs Genetic Algorithm (GA) based optimisation technique. Static Var Compensator (SVC) is the FACTS device used for improving voltage stability margin. To analyze the voltage stability of power system, Continuation Power Flow (CPF) analysis is used here. The study was conducted on IEEE 14 bus and modified IEEE 30 bus test systems and the optimal locations were identified.
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页数:6
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