No abstract

No abstract

No abstract

This paper presents an autonomous wind turbine generation system consisting of wind turbine generators and back to back electronic power converters. Since this last one allows to connect the WTGS (Wind Turbine Generator System) that contain a variable margin of speed to the greed that work under a fixed speed. As conventional method of control usually use PI controller, the Mathematical model and parameters of the system should be known well, The output power of rectifier absorbed from the WTG is regulated by using controller such DC voltage of the system is controlled. We aim to demonstrate a new method of control that called HEGR (Hysteresis Error Gain Regulator) that give an enormous advantage than the additional regulators such as the (PI) and the VGPI (variable gain PI)

<p>The stability and the fast response are two parameters to evaluate the efficiency of any system, and the acknowledgement of the mathematic model studied and its parameters are strongly required. In order to build the regulation and the control of the system, different methods are used. Some are traditional (PI, PD, PID…); whereas, others are modern (Fuzzy logic, neural networks, statistical algorithms, genetic algorithms, VGPI and so on…).</p>In this paper, we focused on the presentation of a new method which we call the scheduling regulation based on a particle swarm optimization. A stochastic diffusion search method that takes inspiration from the social behaviors of real ants with their environment. Ant colony optimization algorithms (ACO) presents a promising performance which is a self-organized regulation system with no need to the acknowledgment of both the mathematic model and the parameters of the systems from a side, and it can insure the stability and the fast response of the system from another side.