A Robust STATCOM Controller using Particle Swarm Optimization
Authors
Abstract:
In this paper, a statcom without any energy storage devices is proposed to compensate network voltage during disturbances. This statcom utilizes a matrix converter in its topology which eliminates the DC-link capacitor of conventional statcom. The modulation method for matrix converter which is used in this paper is space vector modulation. There are some methods to improve power quality for sensitive loads. In this paper, Combination of Improved multi objective Particle swarm optimization (PSO) algorithm with fuzzy membership function is used to determine the PI coefficients. The simulation results indicate the efficiency of proposed method.
similar resources
Fopid Controller Design for Robust Performance Using Particle Swarm Optimization
This paper proposes a novel method to design an H∞-optimal fractional order PID (FOPID) controller with ability to control the transient, steady-state response and stability margins characteristics. The method uses particle swarm optimization algorithm and operates based on minimizing a general cost function. Minimization of the cost function is carried out subject to the H∞-norm; this norm is ...
full textOptimal Design of STATCOM Based OFD Controller using Quantum Particle Swarm Optimization
This study present the optimal design of OFD (OFD) controller for static synchronous compensator (STATCOM) connected to a power system, in order to increase the damping of low frequency electromechanical oscillations. The design process is converted to an optimization problem with the time domain-based objective function which is solved by a Quantum-behaved Particle Swarm Optimization (QPSO) te...
full textflexible beam robust loop shaping controller design using particle swarm optimization
in this paper a new strategy is proposed to design a fixed-structure robust controller for a flexible beam. robust controller designed by the conventional loop shaping method is not appropriate for a beam because of its high order and complicated form. fixed-structure loop shaping control in conjunction with particle swarm optimization (pso)algorithm is used to overcome this drawback. the ...
full textRobust Optimization of Adjustable Control Factors Using Particle Swarm Optimization
Most conventional robust design methods assume design solutions are fixed values. Using these methods, designers set each control factor to a fixed value to maximize the robustness of objective characteristics. However, fluctuations in the objective characteristic often exceed the allowable range in a design problem. Consequently, obtaining sufficient robustness is difficult using conventional ...
full textSuppressing Vibration In A Plate Using Particle Swarm Optimization
In this paper a mesh-free model of the functionally graded material (FGM) plate is presented. The piezoelectric material as a sensor and actuator has been distributed on the top and bottom of the plate, respectively. The formulation of the problem is based on the classical laminated plate theory (CLPT) and the principle of virtual displacements. Moreover, the Particle Swarm optimization (PSO) ...
full textApplying Particle Swarm Optimization to Adaptive Controller
A design for a model-free learning adaptive control (MFLAC) based on pseudo-gradient concepts and optimization procedure by particle swarm optimization (PSO) is presented in this paper. PSO is a method for optimizing hard numerical functions on metaphor of social behavior of flocks of birds and schools of fish. A swarm consists of individuals, called particles, which change their positions over...
full textMy Resources
Journal title
volume 27 issue 5
pages 731- 738
publication date 2014-05-01
By following a journal you will be notified via email when a new issue of this journal is published.
Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023