Title :
Application of SMES and Fuel Cell System Combined With Liquid Hydrogen Vehicle Station to Renewable Energy Control
Author :
Hamajima, T. ; Amata, H. ; Iwasaki, T. ; Atomura, N. ; Tsuda, Makoto ; Miyagi, D. ; Shintomi, T. ; Makida, Y. ; Takao, Tomoaki ; Munakata, K. ; Kajiwara, M.
Author_Institution :
Electr. Commun. Eng. Dept., Tohoku Univ., Sendai, Japan
fDate :
6/1/2012 12:00:00 AM
Abstract :
It is an urgent issue to reduce global carbon-dioxide in the world, and hence the renewable energy, that is environmentally friendly, should be supplied as a large amount of the electric power. Since installation of a large amount of the fluctuating renewable energy, such as wind turbine and photovoltaic, will cause the power utility network unstable, we propose an advanced superconducting power conditioning system (ASPCS) that is composed of Electrolyzer-Hydrogen-FC and SMES cooled with liquid hydrogen from a station for vehicles. The ASPCS has a function of compensating the fluctuating renewable energy with SMES that has quick response and large I/O power, and with that has moderate response and large capacity. The SMES is wound with superconductor with a critical temperature of 39 K from an economical point of view, because it is cooled with through a thermo-siphon system to keep safety against a flammable gas. The ASPCS effectively fulfills a power balance by applying a statistical prediction method of Kalman filter algorithm. The capacity of SMES is optimized by using the trend prediction for a number of wind power data. The overall electric efficiency of the ASPCS is evaluated for a typical wind generator.
Keywords :
Kalman filters; fuel cells; statistical analysis; superconducting magnet energy storage; superconducting materials; wind power plants; ASPCS; Kalman filter algorithm; LH2; MgB2; SMES application; advanced super-conducting power conditioning system; electric efficiency; electric power; electrolyzer-hydrogen-FC; fluctuating renewable energy; fuel cell system; global carbon-dioxide reduction; liquid hydrogen vehicle station; photovoltaic; power utility network; renewable energy control; safety; statistical prediction method; superconducting magnetic energy storage; superconductor; thermo-siphon system; wind generator; wind power data; wind turbine; Kalman filters; Renewable energy resources; Superconducting magnetic energy storage; Superconducting transmission lines; Vehicles; Wind power generation; ${rm MgB}_{2}$ superconductor; Fuel cell; Kalman filter; SMES; liquid hydrogen; renewable energy;
Journal_Title :
Applied Superconductivity, IEEE Transactions on
DOI :
10.1109/TASC.2011.2175687