The project called ‘Stable and scalable decentralized power balancing systems using adaptive clustering’ focuses on the design of distributed coordination and market mechanisms that incorporate decentralized, stabilizing, and scalable approaches to balance supply and demand (S/D) of energy. Distributed dynamic clusters of synergetic consumers and producers are form the basic construct. Clusters are designed to coordinate local load balancing for varying periods of time amongst consumers and producers, typically for substantially longer periods than considered in markets. Local load balancing in clusters thus allows for novel, more reliable solutions for global load balancing and can be used in conjunction with (current or novel) external market mechanisms. In addition, clusters are dynamic and can adapt to changing situations, including network failures. This project designs novel models, techniques and approaches for dynamic clustering and market mechanisms for energy S/D balancing, in a cooperation between engineering systems, computer science, and electrical engineering researchers, and network operator, ICT, and business consultants.
Frances Brazier is the principal investigator of the project, which is in cooperation with CWI, EWI (TU Delft), KEMA, Thales R&D and Alliander