A PARTICLE SWARM-AIDED APPROACH FOR STABILITY ENHANCEMENT OF A SUPERCONDUCTING GENERATOR USING AN SVC-BASED STABILIZER | ||||
| ERJ. Engineering Research Journal | ||||
| Article 1, Volume 34, Issue 2, April 2011, Page 103-110 PDF (517.55 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2011.67261 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| R. A. F. Saleh | ||||
| Electrical Engineering Dept., College of Engineering, Qassim University, Qassim, Saudi Arabia | ||||
| Abstract | ||||
| An important aspect in developing superconducting generator (SCG) concerns stability following a major system disturbance. This paper presents a method for enhancing stability of a SCG connected to an infinite-bus system using one of FACTS devices. In this method, a static VAR compensator (SVC)-based stabilizer is designed in coordination with a governor controller (GC) to effectively damp the mechanical oscillations which arise in the system when subjected to a disturbance. A time response-based objective function is defined and the design problem of SVC-based stabilizer and GC is formulated into an optimization problem. Particle swarm optimization (PSO) technique is employed to find out an optimal set of parameters for SVC-based stabilizer and GC. Simulation results, damping torque analysis, and small signal analysis show that the proposed PSO-based control scheme provides more damping to the SCG, and enhances its stability over a range of operating conditions. | ||||
| Keywords | ||||
| Superconducting generator; Transient stability; FACTS; Particle Swarm Optimization | ||||
|
Statistics Article View: 80 PDF Download: 142 |
||||
