Modeling Of Wind Energy System Research Articles

Average model of wind energy system dedicated to optimal design of the global system

This paper presents an average model based on justified simplifications dedicated to the design and optimization of wind energy systems. Indeed, the classic models of wind energy systems are complex and their use is not efficient for the optimal design of the components of the power chain given the complexity, the significant time of resolution and the strong correlation of the physical parameters of these models. For these reasons, a model based on the theory of average values with reduced simulation time of a wind turbine structure is developed. This model is validated against the classic model of the wind chain using the SimPowerSystem library of power component models integrated under the Matlab-Simulink simulation environment.

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

Models of a wind energy conversion chain using classical Simulink models of a diode bridge exhibit significant simulation time making difficult its combination with large scales optimization approaches. For this purpose and to increase the degree of compatibility of wind turbine models with large scales optimization approaches such as those based on Genetic Algorithms, a wind energy conversion system having an horizontal axis propeller, an axial generator with permanent magnets, recharging a battery energy accumulator through a diode rectifier is modeled by simplified method reducing simulation time. Indeed, a model of the three phase’s diode rectifier making the simulation time considerably reduced compared to the existing model in the Simulink library is developed. This model is validated by comparison with the model using the classic Simulink library. Another objective of this study is the formulation of the useful torque optimization problem having an essential constraint the reduction of the generator phase’s inductance in the goal to reduce the overvoltage in generator phases.

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

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.

Integration of wind into running vehicles to meet its total energy demand

Massive development in transportation sectors has accelerated fossil fuel energy consumption and greenhouse gas emissions from vehicles account for nearly 30% of global warming. We need clean energy for transportation sectors to meet their energy demand and avoid global warming. In this study, a wind energy system model was developed by integrating advanced technological and mathematical aspects to obtain a potential solution for the total energy demand of transportation sectors. Detailed analysis of the theoretical wind energy systems was modeled by a series of mathematical equations that were then proposed for use in transportation sectors to naturally meet their energy demand. To better explain this technology and its application in the transportation sectors, a sample experimental model of a car was also described as a hypothetical experiment. Interestingly, both the theoretical modeling and experimental analysis of the car confirm that a turbine can be a promising tool to utilize wind energy to generate electricity from self-renewing resources to power the car; importantly, wind energy is clean and globally abundant. The proposed wind energy system could be an innovative large-scale technology in energy science that can enable vehicles that produce energy from the wind when the vehicle is in motion, thus meeting 100% of the vehicle’s energy demand.

Development of a Matlab/Simulink®‐based wind turbine prototyping software through undergraduate student projects

AbstractElectrical Engineering and more particularly Power Engineering at the undergraduate level is facing a crisis at many French universities in terms of enrollment. One reason is the attraction of “newer” areas like Computer Engineering, which seem to excite the students more and pay higher starting salaries. In this difficult context, a significant educational investment is necessary to excite the students and entice them into Power Engineering. An area that students universally find interesting is alternate energy systems based on a renewable energy supply like wind. What is interesting with this area is that it includes the fundamental material that already exists in many energy conversion courses. Therefore, in this article the authors present the development of wind turbine prototyping software under Matlab/Simulink® through undergraduate student projects within the Electrical and Computer Engineering Professional Institute(IUP GEII) at Amiens, France 1. This software was developed by a group of three students of the Institute third and final year. It was then used by another group of three students of the Institute second year to realize a wind energy system model. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 20: 78–87, 2012

Entice students to power engineering using renewable energies undergraduate projects: example of development and application of wind turbines prototyping software under Matlab/Simulink®

Electrical Engineering and more particularly Power Engineering at the undergraduate level is facing a crisis at many French universities in terms of enrollment. One reason is the attraction of “newer” areas like computer engineering, which seem to excite the students more and pay higher starting salaries. In this difficult context, a significant educational investment is necessary to excite the students and entice them into Power Engineering. An area that students universally find interesting is alternate energy systems based on a renewable energy supply like wind. What is interesting with this area is that it includes the fundamental material that already exists in many energy conversion courses. Therefore, in this paper the authors present the development of a wind turbine prototyping software under Matlab/Simulink® through undergraduate student projects within the Electrical and Computer Engineering Professional Institute (IUP GEII) at Amiens, France [1]. This software was developed by a group of three students of the Institute third and final year. It was then used by another group of three students of the Institute second year to realize a wind energy system model.

Site assessment and feasibility analysis for a small wind energy conversion system

SYNOPSIS Wind data have been gathered over nine years in the city of Riyadh and an on-site wind data assessment program has been implemented. The results gave the daily, monthly and yearly variation of wind speed. The monthly and annual averages of Weibull factors were also determined. The wind distribution was found to be well represented by the Weibull distribution function. Four models for estimating the annual energy output (AEO) have been presented, straight line, cubic, Powell and piecewise linear approximation. The latter uses the actual power curve for a given wind energy system to determine the AEO and this is considered as a standard and reference method. An experimental double-bladed small wind energy system model MV05 of a rated power of 0.526 kW has been used and an actual power curve was obtained. The value of AEO has then been estimated by employing the different methods and comparing with the reference method. An economic analysis has been carried out to complete the feasibility study for ...