Modeling and fuzzy control of a wind energy system based on double-fed asynchronous machine for supply of power to the electrical network

Abstract

The present paper proposes a model of fuzzy logic control of a doubly fed asynchronous machine (DFAM). First, a mathematical model of DFAM, written in an appropriate d-q reference frame, is established to investigate the results of simulations. In order to control the rotor currents of DFAM, a torque tracking control law is synthesized using PI controllers; the stator side power factor is controlled at a unity level. Then, artificial intelligent controls, such as fuzzy logic control, are applied. The simulated performances are then compared to those of a classical PI controller. Results obtained, in Matlab/Simulink environment, show that the fuzzy control is more robust i.e. has a superior dynamic performance and, hence, is found to be a suitable replacement of the conventional PI controller for a high performance drive applications.

Modeling and Comparison of Fuzzy-PI and Genetic Control Algorithms for Active and Reactive Power Flow between the Stator (DFIG) and the Grid

“…DFIG-based wind power transmission systems offer various advantages, including reducing stress on mechanical structures and acoustic noise with the ability to control active and reactive energy. Another feature of the DFIG system is that the connected AC/DC/AC PWM transformers between the grid and the rotating circuit of the induction generator are designed for only a portion of the generator power [1]. Wind power generation implementation was introduced on the basis of DFIG, a fuzzy PI gain scheduling developed for DFIG vector control units used in variable speed wind turbines [2].…”

Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid

“…The solution to an optimization problem involves exploring the search space in order to maximize (or reduce) a particular function. The relative complexities (in size or structure) of the search space and functionality to be optimized lead to the use of radically different accuracy methods [4]. Optimization methods can be categorized in different ways; Deterministic and non-deterministic methods (also called stochastic or stochastic research methods), the choice of this or that method depends on the system to be studied and its complexity [5].…”

Construction and Optimization of a Thermo-economic Cost Analysis Model for the Complex Energy Network

“…The energy industry is the material basis for modernization, and establishing an energy supply network with high security and high reliability should be a core development strategy, whether in a developed or developing country [1][2][3][4]. Improving the energy use efficiency of the energy system is of great significance to the development of the national energy economy and the improvement of the national economic competitiveness [5][6][7][8][9]. Currently, the analysis of the energy network with various forms of heat-work conversion is mainly based on the theory of thermodynamic analysis.…”