#Gridable with place value how to

I will focus on online optimization of AC power systems in closed loop. Real-Time Feedback Optimization of Power Systems His main interests are directed towards residential demand response and applying state of the art in artificial intelligence for energy applications.

He was active in this field for six years before taking up a research position at REstore. After developing control algorithms for photolithography applications for four years, he switched to the field of smart grid research. Through this presentation, we want to convey the message that real-life demand response benefits from being able to handle and combine a range of optimization and modelling techniques.īIO: Bert holds a PhD in applied physics. Finally, a third set of results obtained through a collaboration with UC Berkeley demonstrates how reinforcement learning can be both a practical and efficient control paradigm when combined with model based control in the context of residential demand response.

#Gridable with place value how to

A second example, shows how to combine FCR and self-consumption by solving a chance-constrained optimization problem using robust optimization, resulting in a significant value increase for batteries. In this presentation, REstore will explain how it controls one of the most advanced VPPs in Europe, comprising a 18 MW battery, providing Frequency Containment Reserves (FCR). To meet these challenges REstore uses and explores a range of modelling and optimization techniques, both model-based and model-free in a centralized and decentralized setting. This is direct resulting from the fact that the problem is a sequential decision making problem under uncertainty with a large state- and action-space. Using a virtual power plant for Demand response applications is a non-trivial challenge from a, among others, control context. storage and conversion between energy carriers). local (independent) micro-grids at community level and smart buildings/homes), changing end-user involvement and new technologies (e.g. consumers get prosumers), changing or new market structures and players (e.g. This includes different roles of stakeholders (e.g. To be able to ensure also in the future the stability of this energy system and the balancing of energy supply and demand without extremely extending the capacities of the underlying grids, the setup and the organization of our energy system has to be changed drastically. larger parts of the energy generation will be based on fluctuating, non-controllable and hard to predict sources like wind and sun and the ongoing electrification will introduce large peaks in the consumption. The envisioned direction of the energy transition leads to drastic changes within the current energy system e.g. Other changes include the ongoing growth of the electricity consumption resulting from an electrification of transport (electric vehicles) and heating (heat pumps) resulting in an increasing integration between the different energy systems of electricity, transportation and heat.

solar, wind, tidal, hydro or geothermal sources. This process, called energy transition, entails a fundamental change of the energy system from a centralized system with electricity production mainly based on fossil fuels to a decentralized local system based on sustainable energy production based on e.g. Global warming, climate agreements, EU policies to reduce CO2 emissions and many national energy programs reflect the need to make our energy systems more sustainable.