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| Paper Abstract and Keywords | ||
| Presentation | 2013-04-25 13:50 Optimal Operation for WS model type Power Grid Systems Using Recurrent Neural Networks Keisuke Kimura, Takayuki Kimura, Kenya Jin'no (Nippon Inst. of Tech.)  NLP2013-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Because large demands for electricity due to rapid increasing of population growth, depletion of fossil fuels, and reducing greenhouse gas emissions, renewable energy have widely been studied, and introduction of renewable energy systems into many fields such as houses or buildings is accelerating. Essentially, supplying electric power by renewable energies often becomes unstable. Then, we need to implement a sophisticated control strategy to maintain supply systems stably. From this view point, M.E.Gamez et al. proposed an optimal control method for the smart grid systems using recurrent neural networks. In the conventional control method, optimization problems for the smart grid system are regarded as linear programming problems, and they solved the problems using recurrent neural networks. Then, results indicate that the control method has much possibility to implement into the real systems. However, only small sizes of the smart grid systems are evaluated for the control method. Then, we evaluated the control method using extended smart grid systems in this report. In this model, each house in the smart grid systems is connected by electric power lines and they share the electric power. From results of computational experiments, we revealed that there are large effects to the power grids by network topology to satisfy the demands to the customer. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Recurrent neural network / Linear programming problem / Renewable energy / Complex network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 15, NLP2013-7, pp. 35-40, April 2013. | |
| Paper # | NLP2013-7 | |
| Date of Issue | 2013-04-18 (NLP) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLP2013-7 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2013-04-25 - 2013-04-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya campus, Chukyo University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2013-04-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Optimal Operation for WS model type Power Grid Systems Using Recurrent Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | Recurrent neural network |
| Keyword(2) | Linear programming problem |
| Keyword(3) | Renewable energy |
| Keyword(4) | Complex network |
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| 1st Author's Name | Keisuke Kimura |
| 1st Author's Affiliation | Nippon Institute of Technology (Nippon Inst. of Tech.) |
| 2nd Author's Name | Takayuki Kimura |
| 2nd Author's Affiliation | Nippon Institute of Technology (Nippon Inst. of Tech.) |
| 3rd Author's Name | Kenya Jin'no |
| 3rd Author's Affiliation | Nippon Institute of Technology (Nippon Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2013-04-25 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2013-7 |
| Volume (vol) | vol.113 |
| Number (no) | no.15 |
| Page | pp.35-40 |
| #Pages | 6 |
| Date of Issue | 2013-04-18 (NLP) |
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