Robust Model Predictive Control with Scenarios for Aggregators in Grids with High Penetration of Renewable Energy Sources.

Abstract

Integrating flexible consumers in grids with high penetration of renewable energy sources requires a robust power balancing strategy. The methodologies and solutions suggested in this article aim to describe a flexible framework for controlling future electric energy systems by formulating the aggregation problem as a hierarchical robust optimization problem on different aggregation levels. The Aggregator solves a minmax robust optimization problem through a model predictive control framework. With two numercal examples we show how our algorithm controls flexible loads in closed loop, such that consumption follows the stochastic changing production influenced by the penetration of renewables into the power system.