DocumentCode
2600929
Title
Optimal design of permanent magnet synchronous generator for wind energy conversion considering annual energy input and magnet volume
Author
Faiz, Jawad ; Ebrahimi, Bashir Mahdi ; Rajabi-Sebdani, M. ; Khan, M.A.
Author_Institution
Univ. Coll. of Nabeei-Akram, Tabriz, Iran
fYear
2009
fDate
6-7 April 2009
Firstpage
1
Lastpage
6
Abstract
In this paper a multi-objective criterion function is introduced to maximize annual energy input (AEI) and minimize permanent magnet (PM) volumes in a permanent magnet synchronous generator (PMSG). First, a PMSG is designed and modeled analytically to achieve above mentioned targets. After that, effects of various generator parameters on the two above-mentioned objective functions are analyzed using this model. The PMSG parameters and dimensions are then optimized using a genetic algorithm incorporated with an appropriate objective function. The results demonstrate an considerable enhancement in PMSG performance. Thus, finite element method (FEM) is utilized to prove the analytical results. Comparison between simulation and experimental results presents a good agreement between estimated and practical results.
Keywords
finite element analysis; genetic algorithms; permanent magnet generators; wind power; FEM; PMSG performance enhancement; annual energy input; finite element method; genetic algorithm; multiobjective criterion function; permanent magnet synchronous generator; permanent magnet volume; wind energy conversion; Genetic algorithms; Induction generators; Magnetic analysis; Permanent magnets; Power generation; Rotors; Scanning probe microscopy; Synchronous generators; Wind energy; Wind energy generation; Permanent magnet synchronous wind generator; annual energy; finite element; genetic algorithm; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4934-7
Type
conf
DOI
10.1109/SUPERGEN.2009.5348100
Filename
5348100
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