Effects of Parallel FACTS Devices on Voltage Stability
Publish place: 19th International Power System Conference
Publish Year: 1383
Type: Conference paper
Language: English
View: 2,436
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
PSC19_198
Index date: 3 December 2006
Effects of Parallel FACTS Devices on Voltage Stability abstract
This paper presents a study of Parallel FACTS devices mainly Static Var Compensator (SVC) and STATic COMpensator (STATCOM) on steady-state voltage and power Stability. Their modeling and effects on power steady-state system performance have been studied. It also studies static stability improvement of the power system and hence power flow improvement in the network. Effects of FACTS on system loadability have been discussed and presented here. A method based on the concept of maximum power transfer capability of the lines has been used to identify the optimum place for the implementation of FACTS devices . In this study, the limits of active and reactive power in PV buses are considered. The study has been carried out on the IEEE 24 bus test system. Test system reveals that the incorporation of SVC and STATCOM significantly improves static voltage stability, the line power transfer capability and loadability of the system and therefore, the stability of the system is increased. It has also been observed that for the improvement of these parameters, the STATCOM is more adequate than the SVC.
Effects of Parallel FACTS Devices on Voltage Stability Keywords:
Effects of Parallel FACTS Devices on Voltage Stability authors
Ahad Kazemi
Associated professor Electrical Eng. Department, Iran University of Science and Technology
Heidar Ali Shayanfar
ProfesssorElectrical Eng. Department, Iran University of Science and Technology
Mehdi Hosseini
PhD student Electrical Eng. Department, Iran University of Science and Technology
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :