Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG

Abstract

Under the trends to using renewable energy sources as alternatives to the traditional ones, it is important to contribute to the fast growing development of these sources by using powerful soft computing methods. In this context, this paper introduces a novel structure to optimize and control the energy produced from a variable speed wind turbine which is based on a squirrel cage induction generator (SCIG) and connected to the grid. The optimization strategy of the harvested power from the wind is realized by a maximum power point tracking (MPPT) algorithm based on fuzzy logic, and the control strategy of the generator is implemented by means of an internal model (IM) controller. Three IM controllers are incorporated in the vector control technique, as an alternative to the proportional integral (PI) controller, to implement the proposed optimization strategy. The MPPT in conjunction with the IM controller is proposed as an alternative to the traditional tip speed ratio (TSR) technique, to avoid any disturbance such as wind speed measurement and wind turbine (WT) characteristic uncertainties. Based on the simulation results of a six KW-WECS model in Matlab/Simulink, the presented control system topology is reliable and keeps the system operation around the desired response.

A quantitative measure of the degree of output controllability for output regulation control systems: Concept, approach, and applications

“…For wind turbines, a MPPT (Yaakoubi et al, 2019) control is usually applied to capture the maximum energy from the available wind. The mechanism of MPPT control to achieve maximum wind energy extraction is tracking the optimum rotor speed.…”

Energies and Its Worldwide Research

“…Other authors used a control scheme based on a recurrent higher order neural network identifier (RHONN) to approximate the DC link and DFIG mathematical models [62]. Other authors worked with the squirrel cage induction generator (SCIG) and its connection to the grid [63]. They used an optimization strategy of the energy harvested from the wind using a maximum power point tracking algorithm (MPPT) implemented in fuzzy logic for the simulation of the control strategy implemented by an internal model controller (IM).…”

Wind Energy Conversion System Modeling toward Different Approaches

“…The rotor quantities referred to the stator are given by: The angular displacement of the rotor, with respect to the stator, and the stator are given by Eqs. (20) and (21), respectively:…”