A UK energy demand response start-up using machine learning and artificial intelligence to manage a portfolio of storage assets and provide real-time energy reserves to the grid is set to launch within weeks.
A plan by utility Con Edison to save US$1 billion on infrastructure spending in New York’s Brooklyn and Queens neighbourhoods will get 13MWh of energy storage from Green Charge.
From the outside, the VPP looks like a single power production facility that publishes one schedule of operation and can be optimised from a single remote site. From the inside, the VPP can combine a rich diversity of independent resources into a network via the sophisticated planning, scheduling, and bidding of DER-based services. Peter Asmus examines the role energy storage can play within this architecture.