An optimization model of autonomous decentralized energy network and energy routing algorithms based on machine learning techniques
| Project/Area Number |
23760359
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
System engineering
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 社会システム工学 / 自律分散システム / 自律分散型電力ネットワーク / 数理計画 / 感度分析 / 蓄電池 / 太陽光発電 / 電力融通 / 包絡分析法 |
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| Research Abstract |
We study a decentralized solar energy network composed of multiple clusters, which correspond households equipped with PV units, rechargeable batteries, electrical appliances, and an electric power router. The routers manage the power transfer overthe clusters. A mathematical programming model is formulated for optimizing the design and the utilization of this overall energy network in order to evaluate efficiency and stability of the whole energy network. Through some simulation results, the effectiveness and the potential, e.g. for clarifying the effect of the batteries, of the proposed model are investigated. Moreover, we also develop a mathematical programming model which controls degradation of batteries in the decentralized solar energy networks in order to clarify the relationship between the system efficiency and the degree of degradation control.
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Report
(3 results)
Research Products
(16 results)
