![]() ![]() The interaction between multiple local markets leads to a multi-objective optimization and control problem, which by itself is already challenging. Therefore, we aim to investigate how these markets have to be set-up and organized such that they allow for complex interactions in a common and abstract manner without losing essential details required by the energy system. Furthermore, the local markets themselves, as well as the collective system, have interrelations with the forces of global energy markets. overloading on connecting power lines or transformers. This interconnects these local markets and hence multiple local energy management systems also have a joint task to stabilize the overall system and avoid e.g. However, in the surrounding area, several local energy markets may be present that all share the same grid infrastructure. Each local energy market addresses the management of (a large number of) involved assets distributed in a certain area and optimizes the joint operation of these assets in direction of its own objective(s). The role of this RT is to investigate how energy management can support the setup and integration of multiple local energy markets. For this local market mechanisms will be advanced past the current state of the art by using advanced distributed market-based control and transactive energy technology and network constraint reasoning.Ĭoncrete, our energy group will deal with the following two Research Tracks (RT): RT Robust planning and control for local energy markets To cope with this complexity, this work package focusses on a local market mechanism that: (1) is fair, transparent and posing the right incentives to all stakeholders, (2) is scalable, robust and increasing the resiliency of the distribution networks, (3) connects to the wholesale markets such that local and global stakes are balanced, and (4) has a feasible regulatory pathway, adapting the current market rules to new market realities. This trade will grow into an inherently complex system, as it combines a cyber-physical system of vast numbers of interacting intelligent devices, with multiple stakeholders exchanging these services. Trade of energy services and energy flexibility on a local level is widely seen as a key prerequisite for the integration of renewable energy sources on a massive scale. ![]() prosumers, aggregators) to interact with the grid. The contribution of our Energy group focuses mainly on Work package 2 (Distributed Energy operation technologies) of the program and aims to increase the ability of grid-edge operators (e.g. Therefore, MEGAMIND brings together an inter-disciplinary team of top scholars in Energy Systems, Artificial Intelligence and Energy Regulation with key industrial stakeholders: the three largest Dutch Distribution System Operators, the Dutch Transmission System Operator and other internationally operating representatives of the entire valorisation and innovation chain. The way value-chain partners in the local electricity system jointly adopt digital technologies, especially Artificial Intelligence (AI), and the way the legislator allows them to do so, are key for the success of the energy transition. ![]() As this poses technical as well as regulatory challenges, MEGAMIND aims to develop a techno-regulatory transition pathway for the electricity ecosystem on the level of the distribution grid. We envision a highly self-managed system that automatically and dynamically steers electrical energy flows taking into account the technical boundaries of the network and while the energy transition unfolds. The MEGAMIND (Measuring, Gathering, Mining and Integrating Data for Self-management in the Edge of the Electricity System) Research Program comprises a significant step in the second digitization wave in the energy distribution grid by developing a new way in which value-chain partners in local electricity systems (the electricity grid edge) interact with each other and with value-chain actors in the higher-level electricity system. ![]()
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