Predictive Dispatch Software for Grid Scale Storage

As the penetration of renewables increases, the size of storage projects grows, and with energy markets rapidly evolving, projects are requiring more sophisticated and dynamic controls to capture revenue and satisfy market requirements. This session will discuss how Wärtsilä GEMS employs optimization using Model Predictive Control to solve a variety of predictive dispatch problems ranging from navigating complex PPAs to power allocation algorithms on DC-coupled solar and storage plants. Wärtsilä’s robust technologies evolved from years of operations on islands, which operate in harsh environments, at high renewables penetration, and go for lengthy periods without running thermal plants.