Digitalization for the Future Weather-driven Energy System

Today, energy systems are often operated in silos using a centralized setup and rather simple digital solutions.  Similarly, electricity markets are typically based on simple static and deterministic principles like bidding and clearing. The future weather-driven energy systems call for a fundamental shift towards new market principles which respect dynamics and stochasticity. In addition, we are facing a decentralized setup with energy systems integration on all scales.

These fundamental shifts call for a massive digitalisation of the future energy system. A fundamental cornerstone of this digitalisation is methods for unlocking flexibility at all levels of the future low-carbon society.  In this talk we will describe digitalisation for unlocking the needed flexibility at all levels of the energy systems for an efficient large-scale integration of fluctuating renewable generation.

We will touch upon some of the new tools developed as a part of the FED project. These tools include methods for hierarchical forecasting, flexibility functions for characterizing the flexibility, MIMs (Minimum Operability Mechanism) for defining the interactions, as well as methodologies for how to establish local flexibility markets such that they respect the physical dynamics and stochasticity of the electricity loads. Many of these tools are integrated in the Smart-Energy Operating-Systems (SE-OS) which aims at providing a hierarchy of optimization and control-based methods for providing both balancing and smart grid services..

 Henrik Madsen

Foto: Mikal Schlosser

Henrik Madsen, Professor at DTU Compute at Technical University of Denmark

Henrik is an expert in digitalization and smart energy systems. He is Professor in Mathematical Statistics with a special focus on Stochastic Dynamical Systems (1999) at DTU and Professor II at NTNU, Norway (2017). He works with signal processing, time series analysis, grey-box modelling, demand response, prediction and optimization.