The energy transition is integrating more generation, storage and flexibility into distribution grids, where solar PV, wind power, batteries, electric vehicles and controllable loads increasingly interact at medium- and low-voltage levels. This creates new challenges for grid operators, including local congestion, voltage deviations, fluctuating generation and demand, and a much higher coordination effort across many decentralized actors. Existing operating models still rely strongly on fixed schedules and centralized flexibility, which means that local flexibility from prosumers, energy communities and demand-side resources is often not used to its full potential. As a result, renewable energy may be curtailed, grid operation becomes more complex, and expensive grid reinforcement may be triggered earlier than necessary. The eCells project addresses this gap by exploring how distributed flexibility can be digitally integrated, securely coordinated and economically rewarded so that future grids remain stable, efficient and resilient.

eCells develops a cellular energy management concept in which local energy cells, such as energy communities or flexible consumer groups, provide a defined flexibility range to the upstream distribution grid operator. On this basis, the operator can calculate target power profiles, while each cell autonomously coordinates its own generation, storage and controllable demand to meet these targets within technical and economic constraints. The project combines model-predictive control (MPC), distributed optimization and AI-based forecasting and decision methods to improve real-time coordination under uncertainty. A digital platform with digital twin, middleware, secure smart-meter-based communication (SMGWs) and user interfaces connect sensors, data streams, algorithms and actuators across edge and cloud environments. In this way, eCells links technical control, market-oriented operation and secure digital infrastructure in one integrated system. The concepts are then validated step by step through simulation, hardware-in-the-loop testing and real-world field demonstrations in the use cases of energy communities and demand-side management.

The goal of eCells is to make distribution grids more intelligent, resilient and cost-efficient by turning distributed flexibility into usable grid-supporting services. To achieve this, the project develops predictive control and AI-based algorithms, digital twin and middleware components, and interoperable interfaces that enable automated coordination between grid operators, energy cells and connected assets. It also investigates the market models, business incentives and regulatory conditions needed to implement these services in practice. A central objective is to optimize power profiles at cell level, improve the integration of renewable energy, reduce curtailment and ease pressure on future grid expansion. In parallel, eCells aims to demonstrate the technical feasibility of its concepts in laboratory and field environments and to derive practical recommendations for network operators, technology providers and policymakers. The project therefore combines scientific innovation with concrete implementation pathways for the future operation of highly digitalized distribution networks.

• energy communities
• flexibility aggregation
• cellular energy management
• digital twin
• demand-side management

September 2024 - August 2027

Prof. Dr.-Ing. Naim Bajcinca
Gottlieb-Daimler-Str. 42
67663 Kaiserslautern
+49 (0)631/205-3230
naim.bajcinca(at)mv.uni-kl.de