Energy Storage Modeling and Simulation

Argonne’s Approach 

Researchers at Argonne have developed several novel approaches to modeling energy storage resources in power system optimization and simulation tools including:

• Capturing the unique attributes of different energy storage technologies
• Improving the decision-making of location, capacity, and duration of ES
• Grid services (energy, ancillary services, and capacity)
• Multi-day state-of-charge management
• Considering the impacts of battery degradation on investments and operations
• Optimizing energy storage scheduling across a range of different wholesale markets

By integrating these capabilities into our models and tools, such as the Argonne Low-carbon Electricity Analysis Framework (A-LEAF), our team can better quantify the value of energy storage in evolving power systems. In addition to advancing the state-of-the-art of energy storage modeling, we are also able to apply our models to analyze the performance of various proposed real-world storage projects under different projected future electricity grids and system conditions.