On April 4, we organized a scientific seminar on “Predictive risk-aware control for microgrids: Operation of a revenue-generating energy management system“. Tereza Ábelová, a PhD student at the Slovak University of Technology in Bratislava, led the seminar, which was organized in the framework of the FrontSeat project as part of the seminar series on “Research Seminar on Smart Cybernetics.”
Abstract:
Achieving economic sustainability in microgrids is key to accelerating the transition to renewable energy. This presentation introduces an advanced energy management system (EMS) offered as a service, integrating a scenario-based Model Predictive Control (MPC) approach to handle uncertainties using risk measures. A novel two-stage MPC method enhances computational efficiency by combining stochastic and deterministic optimization. Designed for scalability, the EMS enables modular microgrid operation, provides real-time asset control, and optimizes revenue streams (energy arbitrage, peak shaving, and imbalance settlement) to maximize profitability. A case study on a commercial microgrid with renewables and battery storage validates its economic and operational benefits. The presentation explores these capabilities from the service provider’s perspective.
This project has received funding from the European Union’s Horizon under grant no. 101079342 (Fostering Opportunities Towards Slovak Excellence in Advanced Control for Smart Industries).
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