The Maximum Power Point Tracking Algorithm using Chaotic Neural Network for The Photovoltaic Power Generation
| Project/Area Number |
23700180
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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 |
Intelligent informatics
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| Research Institution | Nippon Institute of Technology |
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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 |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
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| Keywords | ソフトコンピューティング / 最適動作点追尾アルゴリズム / 組み合わせ最適化 / 最適動作点追尾制御法 / カオスダイナミクス / 組合わせ最適化 / 最適動作点追尾問題 / 組み合わせ最適化問題 |
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| Research Abstract |
The electric power from the photovoltaic power generation always fluctuates because the amount of the electric power depends on the weather conditions. Then, this study proposed a new maximum power point tracking algorithm to use the photovoltaic power generation systems stably and efficiently. Further, this study also evaluated a power-controllingalgorithm for the power grid with photovoltaic power generation systems and wind turbine power generation systems. The obtained results indicated that the heuristic algorithmsusing the neural networks work well for the novel power generation systems.
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Report
(3 results)
Research Products
(27 results)
