  An approach for reaching the net-zero carbon electricity grid is to intensify
the deployment of distributed renewable generation resources such as
photovoltaic (PV) solar and wind generation, complemented with stationary and
mobile (electric vehicle) battery energy storage systems (BESS). This paper
assumes a scenario where the PV renewable generation and BESS are integrated
into a nano-Grid (n-Grid), a prosumer-owned virtual power plant installed at
the residential or commercial sites. To be profitable, this distributed energy
resource (DER) needs to be managed effectively to support its own load and the
wholesale and retail market services. Our paper introduces a risk-based,
data-driven approach focused on predicting the State of Risk (SoR) of the
utility grid outages. The SoR prediction enables the development of optimal
mitigation strategies aiming at reducing the impact of the grid outages by
harvesting the n-Grid flexibility. Several data analytics tools to assist the
n-Grid operators and aggregators for n-Grid participation in the wholesale
market ancillary service products are introduced, and some preliminary
implementation results are demonstrated.
