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Wind Power Forecasting using an Artificial Neural Network for ASPCS

Energy and Power Engineering 2013年第4期5卷 414-417页

作者： Kazuma Hanada Takataro Hamajima Makoto Tsuda Daisuke Miyagi Takakazu Shintomi Tomoaki Takao Yasuhiro Makida Masataka Kajiwara Advanced Research Institute for the Sciences and Humanities Nihon University Tokyo Japan Department of Electrical and Electronics Systems Hachinohe Institute of Technology Aomori Japan Department of Electrical Engineering Tohoku University Miyagi Japan Department of Engineering and Applied Sciences Sophia University Tokyo Japan High Energy Accelerator Research Organization Ibaraki Japan iwatani corporation Tokyo Japan

In order to use effectively renewable energy sources, we propose a new system, called Advanced Superconducting Power Conditioning System (ASPCS) that is composed of Superconducting Magnetic Energy Storage (SMES), Fuel Cell-Electrolyzer (FC-EL), hydrogen storage and DC/DC and DC/AC converters in connection with a liquid hydrogen station for fuel cell vehicles. The ASPCS compensates the fluctuating electric power of renewable energy sources such as wind and photovoltaic power generations by means of the SMES having characteristics of quick response and large Input-Output power, and hydrogen energy with FC-EL having characteristics of moderate response and large storage capacity. The moderate fluctuated power of the renewable energy is compensated by a trend forecasting method with the Artificial Neural Network. In case of excess of the power generation by the renewable energy to demand it is converted to hydrogen with EL. In contrast, shortage of the electric power is made up with FC. The faster fluctuation power that cannot be compensated by the forecasting method is effectively compensated by SMES. In the ASPCS, the SMES coil with an MgB2 conductor is operated at 20 K by using liquid hydrogen supplied from a liquid hydrogen tank of the fuel cell vehicle station. The necessary storage capacity of SMES is estimated as 50 MJ to 100 MJ depending on the forecasting time for compensating fluctuation power of the rated wind power generation of 5.0 MW. As a safety case, a thermosiphon cooling system is used to cool indirectly the MgB2 SMES coil by thermal conduction. In this paper, a trend forecasting result of output power of a wind power generation and the estimated storage capacity of SMES are reported.

关键词： Renewable Energy Artificial Neural Network Forecasting SMES Liquid Hydrogen Fuel Cell and Electrolyzer

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Ultrahigh-speed distributed Brillouin reflectometry

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Light(Science & Applications) 2016年第1期5卷 349-356页

作者： Yosuke Mizuno Neisei Hayashi Hideyuki Fukuda Kwang Yong Song Kentaro Nakamura Institute of Innovative Research Tokyo Institute of TechnologyMidori-kuYokohama 226-8503Japan Research Center for Advanced Science and Technology The University of TokyoMeguro-kuTokyo 153-8904Japan Servo Laboratory FANUC CorporationOshino-muraYamanashi 401-0597Japan Department of Physics Chung-Ang UniversityDongjak-guSeoul 06974Korea

Optical fibre sensors based on Brillouin scattering have been vigorously studied in the context of structural health monitoring on account of their capacity for distributed strain and temperature ***,real-time distributed strain measurement has been achieved only for two-end-access systems;such systems reduce the degree of freedom in embedding the sensors into structures,and furthermore render the measurement no longer feasible when extremely high loss or breakage occurs at a point along the sensing ***,we demonstrate real-time distributed measurement with an intrinsically one-end-access reflectometry configuration by using a correlation-domain *** this method,the Brillouin gain spectrum is obtained at high speed using a voltage-controlled oscillator,and the Brillouin frequency shift is converted into a phase delay of a synchronous sinusoidal waveform;the phase delay is subsequently converted into a voltage,which can be directly *** a single-point measurement is performed at an arbitrary position,a strain sampling rate of up to 100 kHz is experimentally verified by detecting locally applied dynamic strain at 1 *** distributed measurements are performed at 100 points with 10 times averaging,a repetition rate of 100 Hz is verified by tracking a mechanical wave propagating along the *** drawbacks of this ultrahigh-speed configuration,including the reduced measurement accuracy,lowered spatial resolution and limited strain dynamic range,are also discussed.

关键词： Brillouin scattering distributed strain and temperature sensing high-speed measurement nonlinear optics optical fibre sensors

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