Robust model predictive control for optimal energy management of island microgrids with uncertainties

Energy ◽  
2018 ◽  
Vol 164 ◽  
pp. 1229-1241 ◽  
Author(s):  
Yan Zhang ◽  
Lijun Fu ◽  
Wanlu Zhu ◽  
Xianqiang Bao ◽  
Cang Liu
Keyword(s):  
Model Predictive Control ◽  
Energy Management ◽  
Predictive Control ◽  
Robust Model Predictive Control ◽  
Optimal Energy ◽  
Robust Model ◽  
Optimal Energy Management

scholarly journals Hierarchical Energy Management System for Microgrid Operation Based on Robust Model Predictive Control

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4453 ◽  
Author(s):  
Luis Gabriel Marín ◽  
Mark Sumner ◽  
Diego Muñoz-Carpintero ◽  
Daniel Köbrich ◽  
Seksak Pholboon ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Power Consumption ◽  
Energy Management ◽  
Predictive Control ◽  
Management System ◽  
Uniform Grid ◽  
Energy Management System ◽  
Renewable Energy Resources ◽  
Robust Model Predictive Control ◽  
Robust Model

This paper presents a two-level hierarchical energy management system (EMS) for microgrid operation that is based on a robust model predictive control (MPC) strategy. This EMS focuses on minimizing the cost of the energy drawn from the main grid and increasing self-consumption of local renewable energy resources, and brings benefits to the users of the microgrid as well as the distribution network operator (DNO). The higher level of the EMS comprises a robust MPC controller which optimizes energy usage and defines a power reference that is tracked by the lower-level real-time controller. The proposed EMS addresses the uncertainty of the predictions of the generation and end-user consumption profiles with the use of the robust MPC controller, which considers the optimization over a control policy where the uncertainty of the power predictions can be compensated either by the battery or main grid power consumption. Simulation results using data from a real urban community showed that when compared with an equivalent (non-robust) deterministic EMS (i.e., an EMS based on the same MPC formulation, but without the uncertainty handling), the proposed EMS based on robust MPC achieved reduced energy costs and obtained a more uniform grid power consumption, safer battery operation, and reduced peak loads.

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