Resilient, automated dispatch for campus microgrids
Solar intermittency and HVAC load spikes threaten your microgrid stability. Voltpathio forecasts disruptions 45 minutes ahead and dispatches corrective actions automatically.
Designed for the full microgrid dispatch problem
Cloud-cover ML models tuned to your array's GPS coordinates and tilt angle. 45-minute advance warning before GHI drops more than 15% — enough lead time to pre-condition HVAC loads before solar output falls below your demand threshold.
Charge/discharge schedules balance two competing objectives: maintaining the minimum state-of-charge reserve for a credible islanding window, while discharging into peak demand intervals to reduce utility demand charges. You set the islanding reserve floor; Voltpathio optimizes everything above it.
Grid separation event detected via frequency deviation or loss-of-voltage signal. Pre-configured non-critical load shedding protocol executes within 200ms — data centers and life-safety systems are automatically excluded from curtailment scope.
P&L view per day: demand charges avoided, battery cycle cost (amortized against rated cycle life), net curtailment revenue from DR program participation, and renewable self-consumption ratio. Export to your campus sustainability reporting platform via REST API.
"We have 2.8 MW of rooftop solar and a 1 MWh battery system. Before Voltpathio, cloud events during peak load hours were our biggest cost driver — the battery was depleting for islanding reserve and not available for demand shaving. Now the optimizer keeps the reserve floor we need while still dispatching the battery into demand windows. We've cut demand charges 31% and maintained our 4-hour islanding capability."
Stabilize your campus microgrid
BMS connection in under 48 hours. First solar intermittency forecast in the same session.