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Research Paper | Electrical Engineering | India | Volume 4 Issue 6, June 2015
Optimal Tunning Statcom for SMIB System Using Particle Swarm Optimization
Bharti Verma, Abhijit Mandal
Abstract: - Transmission networks of modern power systems are becoming increasingly stressed because of growing demand and restrictions on building new lines. One of the consequences of such a stressed system is the threat of losing stability following a disturbance. Flexible ac transmission system (FACTS) devices are found to be very effective in a transmission network for better utilization of its existing facilities without sacrificing the desired stability margin. Flexible AC Transmission System (FACTS) such as Static Synchronous Compensator (STATCOM) and Static VAR Compensator (SVC), employ the latest technology of power electronic switching devices in electric power transmission systems to control voltage and power flow. A static synchronous compensator (STATCOM) is a shunt device of the flexible AC transmission systems (FACTS) family. The STATCOM regulates voltage at its terminal by controlling the amount of reactive power injected into or absorbed from power system. When system voltage is low, STATCOM generates reactive power and when system voltage is high it absorbs reactive power. In this paper performance of STATCOM is analysed over the SMIB. The prime motto of present paper is to find out the enhancement of damping the power system oscillation through co-ordinated model of -Static Synchronous Comp-ensator- (STATCOM) situated in shunt with transmission line. This paper also stabilizes the linearized -Phillips-Heffron- model of a power system installed with a STAT-COM and demonstrates the application of the model in anylizing the damping effect of the STATCOM and designing a -STATCOM- stabilizer to improve power system oscillation stability of single machine infinite-bus system by using -MATLAB- and design of damping controller with Particle Swarm Optimization (PSO) algorithm is used to find out the optimal controller parameters.
Keywords: FACTS Devices, MATLAB, STATCOM, SMIB
Edition: Volume 4 Issue 6, June 2015,
Pages: 1436 - 1439
How to Cite this Article?
Bharti Verma, Abhijit Mandal, "Optimal Tunning Statcom for SMIB System Using Particle Swarm Optimization", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB155709, Volume 4 Issue 6, June 2015, 1436 - 1439
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