2014/01/31 by Alessandra Parisio, Evangelos Rikos, Luigi Glielmo · 5 citations
Engineering · #Microgrid Control and Optimization #Optimal Power Flow Distribution #Smart Grid Energy Management
paper · doi:10.1109/tcst.2013.2295737
openalex publication_date 2014/01/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
Microgrids are subsystems of the distribution grid, which comprises generation capacities, storage devices, and controllable loads, operating as a single controllable system either connected or isolated from the utility grid. In this paper, we present a study on applying a model predictive control approach to the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. The overall problem is formulated using mixed-integer linear programming (MILP), which can be solved in an efficient way by using commercial solvers without resorting to complex heuristics or decompositions techniques. Then, the MILP formulation leads to significant improvements in solution quality and computational burden. A case study of a microgrid is employed to assess the performance of the online optimization-based control strategy and the simulation results are discussed. The method is applied to an experimental microgrid located in Athens, Greece. The experimental results show the feasibility and the effectiveness of the proposed approach.