Wenxin Liu, G. K. Venayagamoorthy, D. C. Wunsch II, “Adaptive Neural Network Based Power System Stabilizer Design,” Proceedings of the International Joint Conference on Neural Networks, Portland, 20-24 July 2003, pp. 2970-2975. doi: 10.1109/IJCNN.2003.1224043

has been cited by the following article:

• TITLE: PSS and SVC Controller Design using Chaos, PSO and SFL Algorithms to Enhancing the Power System Stability

  AUTHORS: Saeid Jalilzadeh, Reza Noroozian, Mahdi Sabouri, Saeid Behzadpoor

  KEYWORDS: Power System Stabilizer (PSS), Static Var Compensator (SVC), Single Machine Infinite Bus (SMIB), Chaos, Shuffled Frog Leaping (SFL), Particle Swarm Optimization (PSO)

  JOURNAL NAME: Energy and Power Engineering, Vol.3 No.2, May 18, 2011

  ABSTRACT: In this paper, the Authors present the designing of power system stabilizer (PSS) and static var compensator (SVC) based on chaos, particle swarm optimization (PSO) and shuffled frog leaping (SFL) Algorithms has been presented to improve the power system stability. Single machine infinite bus (SMIB) system with SVC located at the terminal of generator has been considered to evaluate the proposed SVC and PSS controllers. The coefficients of PSS and SVC controller have been optimized by Chaos, PSO and SFL algorithms. Fi-nally the system with proposed controllers is simulated for the special disturbance in input power of genera-tor, and then the dynamic responses of generator have been presented. The simulation results show that the system composed with recommended controller has outstanding operation in fast damping of oscillations of power system and describes an application of Chaos, PSO and SFL algorithms to the problem of designing a Lead-Lag controller used in PSS and SVC in power system.