Model Predictive Control for Microgrid Power Management under Forecast Uncertainties

カテゴリ: 研究会(論文単位)

論文No: ST17051

グループ名: 【C】電子・情報・システム部門 システム研究会

発行日: 2017/11/10

タイトル(英語): Model Predictive Control for Microgrid Power Management under Forecast Uncertainties

著者名: Mildt Dominik(Keio University),Cupelli Marco(RWTH Aachen),Kubo Ryogo(Keio University)

著者名(英語): Dominik Mildt(Keio University),Marco Cupelli(RWTH Aachen),Ryogo Kubo(Keio University)

キーワード: Microgrids|Optimization|Model Predictive Control|Forecast Uncertainty|Demand Response|Microgrids|Optimization|Model Predictive Control|Forecast Uncertainty|Demand Response

要約(日本語): The allocation of energy resources in distribution grids into microgrids allows for feasible optimal control on a local scale. This paper presents and implements the active and reactive power management of a benchmark microgrid system that includes distributed generation, energy storages, thermo-electric coupling and demand response strategies using optimization for several control objectives, while taking into account operational and network constraints. To counteract forecast uncertainties of electric and thermal load, as well as solar and wind generation, a receding horizon approach based on the concept of Model Predictive Control (MPC) is used.

要約(英語): The allocation of energy resources in distribution grids into microgrids allows for feasible optimal control on a local scale. This paper presents and implements the active and reactive power management of a benchmark microgrid system that includes distributed generation, energy storages, thermo-electric coupling and demand response strategies using optimization for several control objectives, while taking into account operational and network constraints. To counteract forecast uncertainties of electric and thermal load, as well as solar and wind generation, a receding horizon approach based on the concept of Model Predictive Control (MPC) is used.

原稿種別: 英語

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