Learning Control of Power Generation Using Low Temperature Gap

カテゴリ: 部門大会

論文No: OS5-4

グループ名: 【C】平成22年電気学会電子・情報・システム部門大会講演論文集

発行日: 2010/09/02

タイトル(英語): Learning Control of Power Generation Using Low Temperature Gap

著者名: 朴 熙載(早稲田大学),四ヶ所 里美(早稲田大学),韓 建栄(早稲田大学),李 羲頡(早稲田大学)

著者名(英語): Heejae Park(Waseda University),Satomi Shikasho(Waseda University),Kynyoung Han(Waseda University),Hee-Hyol Lee(Waseda University)

キーワード: Learning control|Neural Network|Power generation|Low thermal gap|EvaporatorTurbine

要約(日本語): Abstract- Recently, as one of the renewable and clean energy resources, the power generation using low temperature gap is attracting considerable attention and becoming most developing renewable and clean energy resources due to its large unit capacity, non-polluting and etc. The conrtol system to generate power using low temperature gap to keep the speed of the steam turbine in real environment is proposed in the paper. It is not easy to control because of nonlinear factor, dynamic characteristic of system. To overcome these porblem, the controller is used the PID control based on Neural Network. The system configuration and operation principles of the power generation system are designed and presented.

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