Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies
作者： Yan Zhang , Yajie Liu , Bo Guo , Tao Zhang , Rui Wang
DOI: 10.1049/IET-GTD.2015.1127
关键词: Energy management system 、 Demand response 、 Demand forecasting 、 Mathematical optimization 、 Control engineering 、 Engineering 、 Renewable energy 、 Integer programming 、 Model predictive control 、 Microgrid 、 Optimal control
摘要: This study proposes a model predictive control (MPC)-based home energy management system for residential microgrid (RM) in which all related information such as the time-varying of load demand, electricity price and renewable generations, are taken into account. A novel finite-horizon mixed-integer linear programming problem is iteratively formulated to investigate optimal actions RM under an MPC framework. Three case studies conducted discuss technical economic impacts responsive electrical thermal loads, plug-in hybrid electric vehicles, storage units. Moreover, sensitivity analysis performed demonstrate superiority proposed approach when forecasts imperfect.
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