Robust microgrid control using tube scaling approach

Microgrid is a cluster of distributed (renewable) generation sources, storage units and loads, which, when controlled in an optimal fashion, can improve both the quality of the local power supply as well as the performance of the overall power distribution system. In this paper we present a robust control methodology for microgrids that can cope with uncertainties introduced by intermittent renewable energy sources and variable loads. Our control approach is based on a tube scaling model predictive control where new optimization variables - scaling factors - are introduced that optimally balance disturbance compensation by individual controllable microgrid entities. The control actions are determined such that all microgrid constraints are satisfied for all possible realizations of the bounded disturbance. Performance of the proposed control strategy is illustrated with a numerical example.