A microgrid is a local energy grid combined with local ‘control,’ allowing it to exist in isolation or be disconnected from a ‘traditional’ grid and operate autonomously. It can be powered by distributed generators, batteries/storage, and/or renewable resources (such as solar panels). Depending on how it’s fueled and managed, a microgrid might run indefinitely and generally be more efficient than current solutions

Because microgrids often operate in isolation and are typically small-scale, they must use great care to balance load demands and supply capabilities – or they are at risk for improper operation (under-voltage, frequency variations, etc.) or crashing. A microgrid may have to deal with other challenges, such as black-starts (starting up and facing the whole microgrid load in the absence of a large generator to ‘back it up’) or being switched back (and synching) onto a macro grid. Local storage mitigates many microgrid issues.

The impact of losing electricity can be life-threatening in certain facilities:

hospitals and other emergency services, communications networks (including cellphones), airports, data centers, senior centers, shelters, and more. In such applications, microgrids should be used to power emergency response to power outages and/or to bolster grid resiliency.

Stat-EI’s patented microgrid technology is uniquely suited to implementing microgrids. A combination of RE + energy storage, combined with AI algorithms to manage the microgrid, allows the microgrid to come fully ‘online’ within milliseconds (most generators take seconds to tens of seconds) and to dynamically balance loads more quickly than is possible with other technologies. Because our AI can be ‘pre-loaded’ with facility-specific load ‘knowledge’, it can be fine-tuned to address specific load challenges. This architecture allows our microgrids to seamlessly connect and disconnect from the network (grid) at any time…


The problem of cyberattacks has become increasingly evident in energy grids and industrial control systems with the proliferation of successful attacks such as Sandworm, INDUSTROYER2.0, Triton, CADDYWIPER, and others. Motivations behind cyberattacks on our energy grids tends to be linked to rivalries between nation-states. As Distributed Energy Resource Management Systems (DERMS) worldwide strive to implement more renewable energy; reduce carbon footprint, cost, and improve optimization (ROI), we are pushing more of the decision making (intelligence) to the edge (i.e. micro-grids) through the use of digital sensors, increased bi-directional connectivity/communications, AI/ML, EV charging and smart meters increasing the attack surface

We in Stat-EI recognize this threat and have taken steps to protect all our green energy generation systems from cyberattacks.  To accomplish this, we have incorporated the full suite of applications from Bedrock Systems into our systems.  The protection is included in both the software, and the hardware components used in our offerings.

Bedrock System is recognized in the industry for their proactive approach to cybersecurity.  Bedrock’s approach is not to wait for the attack to respond, but instead, to use complex client specific rules to prevent the attack from ever happening.
Our intent is not only to improve the operation of green energy generating systems by increasing efficiency and resiliency, but also to make these systems impenetrable to cyberattacks.