Presentation 1999/7/22
Remote Online Scheduling for Multi Hybrid Energy System based on Natural Energy Prediction
Yasuharu Ohkawa, Shiro Tamaki, Morikazu Nakamura, Kenji Onaga,
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Abstract(in English) This paper considers remote online scheduling for multi-hybrid electric power generation system based on natural energy prediction. The multi-hybrid energy production system is composed of wind turbine subsystems, solar battery subsystems, and diesel ones connected by OpenPLANET and the Internet. Since fluctuation of electric power generated from natural energy production systems may easily become large, some control is needed to keep the quality of the generated power. This paper formalizes the minimization of the total driving cost of the system under the constraint ensuring the quality of the generated power and then shows some simulation result of the on line scheduling based on a real multi-hybrid system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Natural Energy / online scheduling / multi-hybrid Electric Power Generation System / Data Prediction and Estimation
Paper # NLP99-49
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Conference Information
Committee NLP
Conference Date 1999/7/22(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Remote Online Scheduling for Multi Hybrid Energy System based on Natural Energy Prediction
Sub Title (in English)
Keyword(1) Natural Energy
Keyword(2) online scheduling
Keyword(3) multi-hybrid Electric Power Generation System
Keyword(4) Data Prediction and Estimation
1st Author's Name Yasuharu Ohkawa
1st Author's Affiliation Department of Information Engineering, University of the Ryukyus()
2nd Author's Name Shiro Tamaki
2nd Author's Affiliation Department of Information Engineering, University of the Ryukyus
3rd Author's Name Morikazu Nakamura
3rd Author's Affiliation Department of Information Engineering, University of the Ryukyus
4th Author's Name Kenji Onaga
4th Author's Affiliation Department of Information Engineering, University of the Ryukyus
Date 1999/7/22
Paper # NLP99-49
Volume (vol) vol.99
Number (no) 204
Page pp.pp.-
#Pages 6
Date of Issue