| Presentation | 2013-04-25 Optimal Operation for WS model type Power Grid Systems Using Recurrent Neural Networks Keisuke KIMURA, Takayuki KIMURA, Kenya JIN'NO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Recurrent Neural Network / Linear Programming Problem / Renewable Energy / Complex Network |
| Paper # | NLP2013-7 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2013/4/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| 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 |
| 1st Author's Name | Keisuke KIMURA |
| 1st Author's Affiliation | Department of Electrical and Electronics Engineering, Nippon Institute of Technology() |
| 2nd Author's Name | Takayuki KIMURA |
| 2nd Author's Affiliation | Department of Electrical and Electronics Engineering, Nippon Institute of Technology |
| 3rd Author's Name | Kenya JIN'NO |
| 3rd Author's Affiliation | Department of Electrical and Electronics Engineering, Nippon Institute of Technology |
| Date | 2013-04-25 |
| Paper # | NLP2013-7 |
| Volume (vol) | vol.113 |
| Number (no) | 15 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |