PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC-BASED CONTROLLER FOR SUPERCONUCTING GENERATOR | ||||
| ERJ. Engineering Research Journal | ||||
| Article 1, Volume 39, Issue 4, October 2016, Page 243-249 PDF (511.72 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2016.66392 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ragaey A. F. Saleh | ||||
| Electrical Engineering Department, Faculty of Engineering, Menoufiya University | ||||
| Abstract | ||||
| An approach is suggested in this paper for the design of a fuzzy logic-based governor controller as a possible mean to improve superconducting generator (SCG) stability under transient conditions while it is connected to a very large power system (an infinite-bus). In this approach, the stabilizing signal is based on the instantaneous speed deviation and acceleration of the superconducting generator and on a set of simple control rules. Meanwhile, a tuning parameter is introduced to generate the appropriate control rules, and thus increase the effectiveness of the fuzzy logic-based controller. Particle swarm optimization (PSO) technique is used to search for optimal settings of the fuzzy controller parameters. Simulation results, compared with those using a conventional controller, show that the proposed, PSOtuned fuzzy controller leads to a significant improvement in the SCG system performance over a range of operating conditions. | ||||
| Keywords | ||||
| Superconducting generator; Fuzzy logic control; Transient stability; Particle Swarm Optimization | ||||
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