scholarly journals Resilient distributed model predictive control for energy management of interconnected microgrids

2019 ◽  
Vol 41 (1) ◽  
pp. 146-169 ◽  
Author(s):  
Wicak Ananduta ◽  
José María Maestre ◽  
Carlos Ocampo‐Martinez ◽  
Hideaki Ishii
Keyword(s):  
Model Predictive Control ◽  
Energy Management ◽  
Predictive Control ◽  
Distributed Model ◽  
Distributed Model Predictive Control

Efficient building energy management using distributed model predictive control

2014 ◽  
Vol 24 (6) ◽  
pp. 740-749 ◽  
Author(s):  
H.F. Scherer ◽  
M. Pasamontes ◽  
J.L. Guzmán ◽  
J.D. Álvarez ◽  
E. Camponogara ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Energy Management ◽  
Predictive Control ◽  
Building Energy ◽  
Distributed Model ◽  
Distributed Model Predictive Control ◽  
Building Energy Management

scholarly journals Data-Centric Hierarchical Distributed Model Predictive Control for Smart Grid Energy Management

2019 ◽  
Vol 15 (7) ◽  
pp. 4086-4098 ◽  
Author(s):  
Ahmed Saad ◽  
Tarek Youssef ◽  
Ahmed T. Elsayed ◽  
Amr Amin ◽  
Omar Hanafy Abdalla ◽  
...  
Keyword(s):  
Smart Grid ◽  
Model Predictive Control ◽  
Energy Management ◽  
Predictive Control ◽  
Distributed Model ◽  
Distributed Model Predictive Control

Energy Management of Smart Community With EV Charging Using Distributed Model Predictive Control

2018 ◽  
Author(s):  
Fenglin Zhou ◽  
Yaoyu Li ◽  
Wenyi Wang
Keyword(s):  
Model Predictive Control ◽  
Energy Management ◽  
Predictive Control ◽  
Simulation Study ◽  
Transportation Systems ◽  
Distributed Model ◽  
Energy Management Strategy ◽  
Distributed Model Predictive Control ◽  
Smart Community ◽  
Building Occupancy

Human activities in buildings are connected by various transportation measures. For the emerging Smart and Connected Communities (S&CC), it is possible to synergize the energy management of smart buildings with the vehicle operation/travel information available from transportation infrastructure, e.g. the intelligent transportation systems (ITS). Such information enables the prediction of upcoming building occupancy and upcoming charging load of electrified vehicles. This paper presents a predictive energy management strategy for smart community with a distributed model predictive control framework, in which the upcoming building occupancy and charging load are assumed to be predictable to certain extent based on the ITS information. An illustrative example of smart community is used for simulation study based on a Modelica simulation model, in which a chilled-water plant sustains the ventilation and air conditioning of three buildings, and each building is assumed to host a number of charging stations. Simulation study is performed to validate the proposed strategy.

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