Conversion of AC wind energy system model to DC model for integration to optimization software with large scales

Abstract

The work presented in this paper deals with an AC model of wind turbine system conversion to a DC model with reduced simulation time, for possible integration to optimization software with larges scales permitting a multi-objective optimization, such as the constrained optimization conjointly of the cost and power losses of the wind turbine energy system. The DC model is based on average calculation of the DC voltage recharging the battery energy accumulator used for recovering the converted wind energy and the electromagnetic torque. Indeed, classical model of wind turbine using generally electric generator associated to a PD3 rectifier to convert the alternative energy on DC energy recoverable on battery energy accumulator with need a large simulation time and thereafter it is non integrable to optimization software for multi-objective optimization problem resolution. The two models are implemented under Matlab-Simulink simulation environment. Simulation results valid entirely the wind turbine system DC model. Finally, as perspective it is interesting to use a booster chopper as an interface between the rectifier and the battery to optimize the recovered energy. An average model of the booster chopper can be integrated into the DC model for performance improvement of the conversion chain.

Optimal systemic combined design and control of an automated wind energy conversion system

“…This method requires a very large computation time and generally makes the problem of design incompatible with high-dimensional optimization algorithms. In the literature it is shown that the design of electrical machines can be done by the analytical method (Tounsi, 2022a(Tounsi, , 2022b(Tounsi, , 2022c. In (Tounsi, 2022c) is shown the validation of the analytical method by the finite element method and by experimental tests.…”

“…Among these solutions, we chose a linear motor structure with permanent magnets (Belgacem et al, 2015;Ben Amor, 2015;Denkena et al, 2004;Suilah et al 2015;Tounsi, 2015bTounsi, , 2022aTounsi, , 2022bTounsi, , 2022c. This choice is argued by the fact that permanent magnet linear motors provide the best solution from the point of view precision of the developed pressing strength and simplicity of the control algorithm of these types of engines making easy to control the strength of these same motors with the possibility of real-time integration of the control algorithm on an electronic board.…”

Systemic optimal control of wind energy system regulating conjointly generator speed and battery recharging current

“…These mechanical systems also lead to dangerous vibrations which can cause deterioration of mechanical components. In addition, modern methods used for electrical systems design are based on analytical calculations of design parameter considering that this method is compatible with stochastic optimization methods as shown in Tounsi (2021Tounsi ( , 2022 and Shin et al(2013). For this reason, this study is based on the design of the power chain components by analytical method.…”

Model of wind energy system with reduced simulation time validated by classical equivalent model developed under Simulink

“…In addition, several studies illustrate the interest of the systemic and simplified analytical model to address performance optimization issues such as conversion chain efficiency (Neji et al, 2006;Tounsi, 2015aTounsi, , 2021Tounsi et al, 2006aTounsi et al, , 2006bTounsi et al, , 2007. In Tounsi et al (2006a) an analytical model with reduced simulation time sizing an axial motor is developed.…”

“…The major advantage of these studies is the use of analytical method for the design of the power chain permitting a significant reduction of the simulation time and thereafter increases the degree of compatibility of these models with large scales optimization approaches. For example, Tounsi (2021) presents a Conversion of AC wind energy system model to DC model for integration to optimization software with large scales.…”