scholarly journals The High-Speed Flywheel Energy Storage System

10.5772/10096 ◽  
2010 ◽  
Author(s):  
Tomasz Siostrzonek ◽  
Stanisaw Pirg ◽  
Marcin Baszyski
Keyword(s):  
Energy Storage ◽  
High Speed ◽  
Storage System ◽  
Energy Storage System ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System

A New Flywheel Energy Storage System for Distributed Generation

2003 ◽  
Author(s):  
Shuangqing Tang ◽  
Weiwei Zuo ◽  
Daoxun Liao
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
High Speed ◽  
Pulse Width Modulation ◽  
Storage System ◽  
Energy Storage System ◽  
Power Converter ◽  
Magnetic Bearing ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System

It is necessary to install flywheel energy storage (FES) system in distributed generation, which can improve the quality and the reliability of electric power. The proposed system is composed of four parts: flywheel, magnetic bearing, motor/generator, and power converter. A permanent magnet motor-generator is incorporated in a composite flywheel, running at high speed in a vacuum containment to minimize air friction losses. The flywheel is to be suspended on magnet bearings. A 3-phase, switch mode bridge inverter, driven by a pulse width modulation board, achieves the variable speed control for the motor/generator and the control for the DC bus voltage. The presentation will explain the schematics of the flywheel battery, control diagram, power electronics and motor/generator. The overall operation will be described.

A superconducting high-speed flywheel energy storage system

2004 ◽  
Vol 408-410 ◽  
pp. 930-931 ◽  
Author(s):  
R. de Andrade ◽  
A.C. Ferreira ◽  
G.G. Sotelo ◽  
W.I. Suemitsu ◽  
L.G.B. Rolim ◽  
...  
Keyword(s):  
Energy Storage ◽  
High Speed ◽  
Storage System ◽  
Energy Storage System ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System

ANFIS CONTROLLER FOR AN ACTIVE MAGNETIC BEARINGS TO SUSPEND A FLYWHEEL ENERGY STORAGE SYSTEM

2017 ◽  
Vol 126 (2B) ◽  
Author(s):  
Nguyen Van Sum
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Energy Storage ◽  
High Speed ◽  
Storage System ◽  
Energy Storage System ◽  
Active Magnetic Bearings ◽  
Control Performance ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System

<p><span style="font-family: Times New Roman;">A flywheel energy storage system (FESS) is an effective energy-saving device. It works by accelerating a rotor flywheel disc at a very high speed and maintaining the energy in the system as rotational energy. Active magnetic bearings (AMBs) are ideally suited for use at high-speed and are so used in FESSs. This work develops a mathematical model of the electromagnet force and rotor dynamic of a flywheel. The systems for controlling the position and velocity of the flywheel are designed based on the emerging approaches of an adaptive neuro-fuzzy inference system (ANFIS). Fuzzy logic has occurred as a mathematical tool to deal with the uncertainties in human perception. It also provides a framework for applying approximate human reasoning capabilities to knowledge-based systems. Additionally, ANFIS has emerged as an intelligent controller with learning and adaptive capabilities. ANFIS is combined the fuzzy logic controller (FLC) and neural networks (NNs). In the method that is developed herein, the control model uses Takagi-Sugeno fuzzy logic, in which the back-propagation algorithm processes information from neural networks to adjust suitably the parameters of the fuzzy controller, and the output control signal tracks the input signal. This method can be applied to improve the control performance of nonlinear systems. The output signal responses transient performance of systems use an ANFIS that must be trained through a learning process to yield suitable membership functions and weightings. The results of the FESS indicated that the system responds with satisfactory control performance to reduce overshoot, a zero-error steady-state, and short rise time. The proposed controller can be feasibly applied to FESS with various external disturbances, and the effectiveness of the ANFIS with self-learning and self-improving capacities is proven.</span></p>

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