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

2021 ◽  
pp. 0309524X2110635
Author(s):  
Souhir Tounsi

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.

2022 ◽  
pp. 143-174
Author(s):  
Bibhu Prasad Ganthia ◽  
Subrat Kumar Barik ◽  
Byamakesh Nayak

The interest towards renewable energy has been enhanced due to zero pollutant emission. Considering the present scenario, wind as a renewable source of energy is highly recommended. As it is freely available and free from pollution, wind can effectively play a role for energy generation. This can produce quality power during grid integrations as the load demands. Due to rapid variations in wind speed, wind energy systems need highly synchronized and powerful controller techniques for power regulations to overcome transients, voltage sags, and swells. A suitable and responsive controller is essential for power generation from wind energy. The controllers for wind energy system are categorized into five controller designs according to their locations to control the demand of the turbine system during grid integrations. In this chapter, various controller designs and implementations are highlighted with reference to previous works and existing studies.


Author(s):  
Suman Nath ◽  
Somnath Rana

Modeling and simulation of a grid connected wind-driven electricity generation system or WECS (an acronym for Wind Energy Conversion System) has been done. Our aim is to design and test a power system of 14.9 KVA capacity, operating at 440V, 20m/s base wind speed, induction generator based-wind energy system via. MATLAB simulation. The different components of a wind energy system namely the wind turbine, generator, controller system, rectifier-inverter, battery , load and other equipments including transformers, grid etc. were decided as per the scope of this project following which the design steps and modeling of the system in MATLAB simulation environment - SIMULINK was undertaken.


2016 ◽  
Vol 17 (2) ◽  
pp. 191-203 ◽  
Author(s):  
Megha Goyal ◽  
Yuanyuan Fan ◽  
Arindam Ghosh ◽  
Farhad Shahnia

Abstract This paper presents two different techniques of a wind energy conversion system (WECS) integration with an islanded microgrid (MG). The islanded microgrid operates in a frequency droop control where its frequency can vary around 50 Hz. The permanent magnet synchronous generator (PMSG) based variable speed WECS is considered, which converts wind energy to a low frequency ac power. Therefore it needs to be connected to the microgrid through a back to back (B2B) converter system. One way of interconnection is to synchronize the MG side converter with the MG bus at which it is connected. In this case, this converter runs at the MG frequency. The other approach is to bring back the MG frequency to 50 Hz using the isochronization concept. In this case, the MG side converter operates at 50 Hz. Both these techniques are developed in this paper. The proposed techniques are validated through extensive PSCAD/EMTDC simulation studies.


MethodsX ◽  
2021 ◽  
Vol 8 ◽  
pp. 101298
Author(s):  
José-Genaro González-Hernández ◽  
Rubén Salas-Cabrera ◽  
Roberto Vázquez-Bautista ◽  
Luis-Manuel Ong-de-la-Cruz

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