Decentralised nonlinear MPC for grid-connected microgrids with preview information

Authors: Pablo R. Baldivieso-Monasterios and George C. Konstantopoulos

Published in:  2021 American Control Conference (ACC) New Orleans, USA, May 25-28, 2021

Date Published: 28 July 2021


In this paper, we propose a decentralised model predictive control (MPC) strategy for the power management of a grid connected Microgrid. The system is composed of fully controllable units, i.e., solar and storage devices, interfaced via power inverters; and uncontrollable power sources for which a prediction of its future values is available at each sample time. The proposed controller is composed of a decentralised primary loop regulating the power, and a secondary economic decentralised controller that solves the optimal power flow problem. We leverage on the properties of the recently proposed Bounded Integral Control at the primary control level to obtain closed-loop guarantees for the proposed nonlinear economic MPC approach.

Keywords: Economics; Integral equations; Microgrids; Inverters; Load flow; Predictive control; Convergence

Insights for EnergyREV:

Provides analysis of the effect of renewable and load forecasts on battery operation for a grid connected microgrid; Exploiting the safety guarantees from a bounded primary controller to reduce the complexity for the secondary level optimisation.