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Adaptive Control for Evaluation of Flexibility Benefits in Microgrid Systems

The papers main goal is to quantify the ability of microgrid components to provide flexibility. This flexibility is analyzed from two perspectives, defining two operating principles of each microgrid: independently from the distribution grid and connected, interacting and responding to signals from the upstream system. Following this, the paper presents two relevant cases. In the first part a deterministic model is developed based on mixed integer linear programming (MILP) simulating the microgrid operation over one year period. This model is used to determine the optimal microgrid configuration with respect to the amount of unused energy, thus defining role and capability of different pieces of equipment and their size (renewable energy sources (RES), heat storage (HS), micro combined heat and power plants (μCHP) and electric heat pumps (EHP)).The second part of this paper further expands the model with model predictive control (MPC) approach in order to capture the behavior of microgrid interaction with the distribution grid, modelling uncertainties of forecasting RES production by stochastic programming. The model is capable to evaluate both the impact of variable energy production and consumption and the impact of energy balancing tariffs depending on the amount of balancing energy needed for the microgrid operation.

Microgrid flexibility ; Mixed Integer Linear Programming (MILP) ; Model Predictive Control

S.I. Sustainable Development of Energy, Water and Environment Systems.