A Design for Robust Power System Stabilizer by Means of Particle Swarm Optimization Method
نویسندگان
چکیده
This paper proposes a new PSS design method that takes into account the robustness for comparatively large power systems. The proposed method is a parameter determination scheme for a standard PSS by using Particle Swarm Optimization (PSO). In order to deal with large-scale systems, a reduced model is developed to get the target system, which preserves major oscillation modes only. The major oscillation modes are selected by using residue concept and the PSS is designed based on the obtained target system. In order to verify the effectiveness, the proposed method is demonstrated through many numerical simulations for various cases.
منابع مشابه
Robust Control of Power System Stabilizer Using World Cup Optimization Algorithm
In this paper, we propose a new optimized PID controller to stabilize the synchronous machine connected to an infinite bus. The model for the synchronous machine is 4-ordered linear Philips-Heffron synchronous machine. In this research, the parameters of the PID controller are optimally achieved by minimizing a definite fitness function to removes the unstable Eigen-value to the left side of im...
متن کاملRobust Control of Power System Stabilizer Using World Cup Optimization Algorithm
In this paper, we propose a new optimized PID controller to stabilize the synchronous machine connected to an infinite bus. The model for the synchronous machine is 4-ordered linear Philips-Heffron synchronous machine. In this research, the parameters of the PID controller are optimally achieved by minimizing a definite fitness function to removes the unstable Eigen-value to the left side of im...
متن کاملSimultaneous Design of Power System Stabilizer and Static Synchronous Compensator Controller Parameters Using Bee Colony Algorithm
To improve the stability of the power system, the design of a PSS and STATCOM controller parameters using ABC is presented as an optimization problem in this paper. The ABC is a collective intelligence based on the optimization algorithm and inspired by the bee feeding behavior in finding food. Fast convergence and high accuracy are the capabilities of this algorithm. The effectiveness and robu...
متن کاملRobust Power System Stabilizer Design using Particle Swarm Optimization Technique
in the industry to damp out power system oscillations. In this paper, particle swarm optimization (PSO) technique is applied to design a robust power system stabilizer (PSS). The design problem of the proposed controller is formulated as an optimization problem and PSO is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the d...
متن کاملDesign of Robust Power System Stabilizer Based on Particle Swarm Optimization
In this paper, we examine the problem of designing power system stabilizer (PSS). A new technique is developed using particle swarm optimization (PSO) combined with linear matrix inequality (LMI). The main feature of PSO, not sticking into a local minimum, is used to eliminate the conservativeness of designing a static output feedback (SOF) stabilizer within an iterative solution of LMIs. The t...
متن کامل