D3.4 EXCESS Model-Predictive Control Algorithms

This document acts as a blueprint for the model predictive control (MPC) base and the optimization algorithms that are planned to be used in different demos. It presents the methodology that will be used in demos to implement MPC and optimize the controls of the various components such as generation, storage and demand. In each demo, simulations using various available software are carried out; plus, the integration of prediction models to enable MPC and optimization of the models based on the inputs and defined objectives if needed. Afterwards, this is implemented at the demo site in real-case scenario depending on the local conditions. The main objective function is either cost reduction or imported energy reduction, depending on the local requirements. The current deliverable is a guide for the MPC integration, its optimization and implementation of the control component at the demos.

This deliverable is not yet approved by the European Commission

Publication Date: 15 Mar 2022

Author: VTT with contributions from CENER, Gebwell, VITO, AEE, TSI and JR