TY - GEN
T1 - Permanent Magnet Generators for Wind Application
T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
AU - Emami, Seyed Payam
AU - Roshandel, Emad
AU - Mahmoudi, Amin
AU - Boroujeni, Samad Taghipour
AU - Kahourzade, Solmaz
PY - 2021/11/16
Y1 - 2021/11/16
N2 - Subdomain technique is a computationally efficient approach with an acceptable accuracy for performance evaluation of the electric machines. This paper develops the subdomain model of three types of permanent magnet (PM) machines including surface-mounted PM (SPM), Inset PM, and consequent pole PM (CPPM) machines. The performance parameters of the studied machines are extracted via subdomain technique and validated by 2D finite-element analysis (FEA). The airgap flux density is calculated using the vector potentials obtained from the subdomain model. The flux density of the iron parts, that is required to find the core losses, are found using the magnetic vector potentials in the iron parts. The developed model is then employed for optimal design of various wind generators. The optimization is executed through two different scenarios. Firstly, the machines are optimized for maximization of the generator efficiency for a single operating point. In the second scenario, the optimization is done over annual wind regime of an area to maximize the annual energy efficiency. The airgap length, magnet dimensions, stack length, and the rotor and stator diameters are the variables of the optimization problem. The optimal designs are compared to show the advantageous and disadvantageous of the considered machines for the wind generator application.
AB - Subdomain technique is a computationally efficient approach with an acceptable accuracy for performance evaluation of the electric machines. This paper develops the subdomain model of three types of permanent magnet (PM) machines including surface-mounted PM (SPM), Inset PM, and consequent pole PM (CPPM) machines. The performance parameters of the studied machines are extracted via subdomain technique and validated by 2D finite-element analysis (FEA). The airgap flux density is calculated using the vector potentials obtained from the subdomain model. The flux density of the iron parts, that is required to find the core losses, are found using the magnetic vector potentials in the iron parts. The developed model is then employed for optimal design of various wind generators. The optimization is executed through two different scenarios. Firstly, the machines are optimized for maximization of the generator efficiency for a single operating point. In the second scenario, the optimization is done over annual wind regime of an area to maximize the annual energy efficiency. The airgap length, magnet dimensions, stack length, and the rotor and stator diameters are the variables of the optimization problem. The optimal designs are compared to show the advantageous and disadvantageous of the considered machines for the wind generator application.
KW - Analytical model
KW - optimal design
KW - permanent magnet machines
KW - wind generator systems
UR - http://www.scopus.com/inward/record.url?scp=85123386429&partnerID=8YFLogxK
U2 - 10.1109/ECCE47101.2021.9595543
DO - 10.1109/ECCE47101.2021.9595543
M3 - Conference contribution
AN - SCOPUS:85123386429
T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
SP - 396
EP - 402
BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers
Y2 - 10 October 2021 through 14 October 2021
ER -