Unbalance Disturbance Rejection Control for Flywheel Energy Storage Device with Magnetic Bearings

Author(s):  
Kechen Wu ◽  
Huimin Ouyang ◽  
Zhuangzhuang Yue ◽  
Guangming Zhang ◽  
Lei Mei ◽  
...  
2013 ◽  
Vol 274 ◽  
pp. 257-260
Author(s):  
Shu Ying Li ◽  
Tie Lei Li ◽  
Zhi Tao Wang

Marine gas turbine generator set; Flywheel energy; Stability Abstract. Based on modular modeling idea, the modular model of marine generation system was set by the technology of systematic simulation. One set of simulation models of marine gas turbine generation system was generated. Results show that flywheel energy storage device can enhance the stability of power grid and play a better role in making marine gas turbine generation system stable under heavy load fluctuations.


2014 ◽  
Vol 663 ◽  
pp. 169-174
Author(s):  
Ahmad Radikal Akbar ◽  
Mokhtar Awang

A new feature for flywheel energy storage device is proposed considering the deficiencies in former technology. This feature is introduced as auto-reinforce performance which means giving-back the kinetic energy for flywheel after speed-down occurred (as result of sudden loading). Auto-reinforce performance is an ability to recover the kinetic rotational energy which significantly keeps longer the stored energy of a flywheel device. This novel concept of flywheel is engineered by installing a number of Permanent Magnets (PM) in certain mounting. Hence, the magnetism configuration such magnetic strength, magnetic energy density, pole direction, geometry, and dimension are influential parameters to the mechanical performance. By practicing Finite Element Magnetic Modeling (FEMM), it is possible to predict some designed mechanical parameters such magnetic force and magnetic torque. Finally by evaluating these mechanical parameters, the key performance of this device such as percentage of energy reinforcement and percentage of discharge elongation can be predicted. The main ideas of this paper are: 1) presenting the development stages especially in design prediction using Finite Element Analysis (FEA) software; and 2) discovering the correlation of designed magnetic properties and mechanical parameters for prototyping references.


2021 ◽  
Vol 677 (5) ◽  
pp. 052037
Author(s):  
Leila Abdullina ◽  
Vladislav Smirnov ◽  
Anna Alimova ◽  
Alina Kalistratova ◽  
Alexander Kravets

Author(s):  
Bincy Lathakumary Vijayan ◽  
Amina Yasin ◽  
Izan Izwan Misnon ◽  
Gopinathan M. Anilkumar ◽  
Fathalla Hamed ◽  
...  

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