Introduction
Variable renewable energy sources like wind and solar offer clean power but face challenges from market volatility and grid instability. Austria’s pioneering hybrid energy project uses AI-powered intelligent flexibility to tackle these issues, improving profitability and stability for renewables.
Solving the Profitability Puzzle for Wind and Solar
Standalone wind and solar projects often encounter negative energy prices and curtailment, reducing revenues and limiting grid contribution. The Trumau project, a collaboration between EVN and CyberGrid, integrates wind, photovoltaic (PV), and battery energy storage systems (BESS) into Austria’s first hybrid setup. Storage alone could not fully address market fluctuations; instead, participation across multiple markets—including ancillary services, intraday, and day-ahead trading—proved essential to increasing economic returns and minimizing energy waste.
AI-Driven Optimization: The Core of Intelligent Flexibility
Central to this approach is CyberGrid’s AI platform, which automates the management of hybrid assets. The system uses advanced algorithms to forecast market prices, renewable generation, and grid conditions. In real time, AI optimizes charging and discharging schedules, deciding how to allocate energy between different market avenues. This multi-market strategy maximizes revenue streams while reducing curtailment. Full automation ensures rapid response to changing conditions, maintaining grid stability and economic viability without manual intervention.
A Model for Sustainable Energy Futures
The Trumau hybrid system demonstrates how AI-driven intelligent flexibility transforms renewable energy from a variable challenge into a consistent profit source. This blueprint supports greener grids by integrating renewables seamlessly and enhancing financial returns. Its success offers a replicable model to accelerate the energy transition with smarter, AI-enabled management of hybrid energy systems worldwide.
