Classifying and modelling demand response in power systems

Demand response (DR) is expected to play a major role in integrating large shares of variable renewable energy (VRE) sources in power systems. For example, DR can increase or decrease consumption depending on the VRE availability, and use generating and network assets more efficiently. Detailed DR models are usually very complex, hence,...

Challenges in heat network design optimization

Different stakeholders have different design considerations that shape a heating grid. In short term, theserange from achieving lowest ownership costs to preventing monopolies. In long term, project developersfocus on how uncertainties of design parameters (e.g. demand/supply, heat prices) affect the grid designand, ultimately, the business case...

Optimal non-zero pricee bids for EVs in energy and reserves markets using stochastic optimization

Abstract—In power systems, demand and supply always have to be balanced. This is becoming more challenging due to the sustained penetration of renewable energy sources and their inherit uncertain production. Because of the increasing amount of electrical vehicles (EVs), and the high capacity and flexibility of their charging process, EVs are a...