Optimization and Simulation of Auxiliary Magnetic Barrier Permanent Magnet Synchronous Machine for Wind Turbine
DOI:
https://doi.org/10.13052/dgaej2156-3306.3736Keywords:
Permanent magnet wind turbine, auxiliary magnetic barrier, back electromotive force, parameter optimization.Abstract
The auxiliary magnetic barrier permanent magnet synchronous motor
(AMBPMSG) has not only the advantages of high power density and high
efficiency of permanent magnet synchronous generator, but also the advan-
tages of high temperature non-demagnetization and low cost of the reluctance
motor. It has a broad application prospect in the field of wind power gen-
eration. Statement is presented in this paper, on the basis of structure and
operation principle of the motor, the magnetic barrier surrounding the shape,
shape of magnetic bridge, magnetic barrier layer and a permanent magnet is
optimized, by means of two-dimensional finite element simulation software
analysis of air-gap magnetic field, the counter electromotive force, reduce no-
load back electromotive force harmonic content, in order to obtain the optimal
electromagnetic performance, and develop the visual design and simulation
platform software. The research of this paper has a certain reference value for
the popularization and application of AMBPMSG.
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References
L. I. Yituo, L. U. Haifeng, Q. U. Wenlong (2019). Permanent magnet
synchronous motor. S13–S13.
A. A. S. Bukhari, B. P. Alalibo, W. Cao (2019). Switched reluctance
motor design for electric vehicles based on harmonics and back EMF
analysis. The Journal of Engineering, 17, 4220–4232.
C. Wang, X. Bao, S. Xu. (2017). Analysis of vibration and noise
for different skewed slot-type squirrel-cage induction motors. IEEE
Transactions on Magnetics, 53(11), 1–6.
Lin Ye, Cihang Zhang, Yong Tang, Wuzhi Zhong, Yongning Zhao, Peng
Lu, Bingxu Zhai, Haibo Lan, Zhi Li. Hierarchical Model Predictive
Control Strategy Based on Dynamic Active Power Dispatch for Wind
Power Cluster Integration. IEEE Transactions on Power Systems, 2019,
(6): 4617–4629.
S. Abedi, M. He and D. Obadina. Congestion Risk-Aware Unit Com-
mitment With Significant Wind Power Generation. IEEE Transactions
on Power Systems, 2018, 33(6): 6861–6869
P.J. dos Santos Neto, A. Cecílio Pinto, D. S. B. Tárcio André and
E. Ruppert Filho. A Proposal to Control Active and Reactive Power
in Distributed Generation Systems Using Small Wind Turbines. IEEE
Latin America Transactions, 2020, 18(10): 1699–1706.
X. Chen, J. Lin, F. Liu and Y. Song. Optimal Control of AGC Systems
Considering Non-Gaussian Wind Power Uncertainty. IEEE Transactions
on Power Systems, 2019 34(4): 2730–2743.
A. Haddadi, I. Kocar, U. Karaagac, H. Gras and E. Farantatos. Impact
of Wind Generation on Power Swing Protection. IEEE Transactions on
Power Delivery. 2019, 34(3): 1118–1128.
H. Liu, F. Bu, W. Huang, H. Xu, M. Degano and C. Gerada. Control-
Winding Direct Power Control Strategy for Five-Phase Dual-Stator
Winding Induction Generator DC Generating System. IEEE Transac-
tions on Transportation Electrification, 2020, 6(1): 73–82.
S. Chakraborty, D. Watson and M. Rodgers. Automatic Generation Con-
trol Using an Energy Storage System in a Wind Park. IEEE Transactions
on Power Systems, 2018, 33(1): 198–204.
M. Song, C. Gao, J. Yang and H. Yan. Energy storage modeling of
inverter air conditioning for output optimizing of wind generation in the
electricity market. CSEE Journal of Power and Energy Systems, 2018,
(3): 305–315.
S. Ghosh, Y. J. Isbeih, R. Bhattarai, M. S. E. Moursi, E. F. El-Saadany
and S. Kamalasadan. A Dynamic Coordination Control Architecture
for Reactive Power Capability Enhancement of the DFIG-Based Wind
Power Generation. IEEE Transactions on Power Systems, 2020, 35(4):
–3064.
H. Cheng, R. Li, F. F. Choobineh, Q. Hu and S. Mei. Dispatchable
Generation of a Novel Compressed-Air Assisted Wind Turbine and Its
Operation Mechanism. IEEE Transactions on Sustainable Energy, 2018,
(4): 2201–2210.
A. Lin, Z. Bie, C. Pan and S. Liu. Fast Cumulant Method for Prob-
abilistic Power Flow Considering the Nonlinear Relationship of Wind
Power Generation. IEEE Transactions on Power Systems, 2020, 35(4):
–2548.
Y. Liu, Z. Lin, K. Xiahou, M. Li and Q. H. Wu. On the state-dependent
switched energy functions of DFIG-based wind power generation sys-
tems. CSEE Journal of Power and Energy Systems, 2020, 6(2): 318–328.
Y. Li et al. Day-Ahead Coordinated Scheduling of Hydro and Wind
Power Generation System Considering Uncertainties. IEEE Transac-
tions on Industry Applications, 2019, 55(3): 2368–2377.
Yuanzheng Li, Tianyang Zhao, Chang Liu, Yong Zhao, Zhiyuan Yu,
Kaicheng Li, Lei Wu. Day-Ahead Coordinated Scheduling of Hydro
and Wind Power Generation System Considering Uncertainties. IEEE
Transactions on Industry Applications, 2019, 55(3): 2368–2377.
S. P. Teixeira and C. L. T. Borges. Operation Strategies for Coordinating
Battery Energy Storage with Wind Power Generation and Their Effects
on System Reliability. Journal of Modern Power Systems and Clean
Energy, 2021, 9(1): 190–198.
H. Zhao and L. Cheng. Open-Switch Fault-Diagnostic Method for Back-
to-Back Converters of a Doubly Fed Wind Power Generation System.
IEEE Transactions on Power Electronics, 2018, 33(4): 3452–3461.
A. Verma, R. Krishan and S. Mishra. A Novel PV Inverter Control
for Maximization of Wind Power Penetration. IEEE Transactions on
Industry Applications, 2018, 5(6): 6364–6373.
R. I. Putri, M. Pujiantara, A. Priyadi (2015). Maximum power extraction
improvement using sensorless controller based on adaptive perturb and observe algorithm for PMSG wind turbine application. IET Electric
Power Applications, 12(4), 455–462.
Jianxin Shen, Shun Cai, Hao He. (2016). Analysis and design of
synchronous magnetoresistive motor (6 of Continuous Load) param-
eter optimization of uniform distribution of magnetic barrier. Rotor
Microcomputer, 49(012), 84–88.
Junrui Xu. (2011). Identification of parameters of permanent mag-
net synchronous motor and its application in control. Harbin: Harbin
University of Technology.
Jie Wu, Qin Zhao, Baixing Zhuang. (2017). A method for optimizing
the shape of magnetic poles by weakening the back electromotive force
harmonics of permanent magnet synchronous motors. Micro Motor,
(2), 24–27.
