Solutions · energy
A transformer that fails in July does not wait for your October budget.
Grid infrastructure ages faster than budget cycles can replace it.
Utilities run thousands of substations, miles of conductor, and aging transformer fleets installed when demand was half what it is today. We map equipment condition to grid consequence, so reliability engineers can prioritize by cascading risk, not just asset age.
Why grid risk compounds faster than it appears
The transformers keeping the lights on were installed when electronics ran on vacuum tubes. Budget cycles are measured in years, equipment aging in decades, and load growth is outpacing both.
Contingency planning assumes all other equipment is healthy. Deferred maintenance erodes that assumption daily
N-1 works when the rest of the system is in good condition. When three substations in a corridor are running aging transformers with dissolved gas issues, the contingency is theoretical. One failure at peak can cascade.
Dissolved gas analysis reveals transformer degradation. Only if someone is trending the results over time
A single DGA reading is a snapshot. The trend over 18 months tells you whether acetylene and ethylene are accelerating toward a failure. Most utilities sample annually and trend manually, if they trend at all.
CIP compliance requires documented evidence of physical and cyber controls at every BES facility
Audit readiness is not a one-time exercise. Every maintenance action, access event, and equipment change at a CIP-classified facility must be documented and retrievable. Penalties start at $1M per violation per day.
Rate-case filings need defensible evidence that capital investments are prudent and necessary
Public utility commissions are rejecting recovery requests that lack structured risk justification. Engineering gut feel does not survive a cost-of-service hearing. A transformer-by-transformer risk model grounded in condition data does.
How Rivolq helps utility teams
See which failures would cascade into broader reliability events
We map transformer, breaker, and relay dependencies across substations and corridors. When a transformer shows accelerating DGA trends, you see the load it carries, the contingency paths available, and the corridor-level consequence of its failure.
Track DGA trends, loading history, and age-adjusted failure probability across the fleet
Dissolved gas, thermal imaging, load factor, and manufacturer lifecycle curves combine into one health score per unit. Prioritize replacements by consequence-weighted risk, not nameplate age.
Audit-ready compliance for every BES facility without the manual burden
Every maintenance action, equipment change, and physical security event is timestamped and linked to the CIP-classified assets it affects. Generate compliance packages on demand. Not in a three-week scramble before the audit.
Build the evidence record regulators need to approve recovery
Every proposed replacement is backed by condition trends, failure probability, and consequence modeling that holds up to PUC scrutiny. The structured justification that turns engineering recommendations into approved filings.
See corridor-level risk before the next peak season.
Map transformer health, substation dependencies, and compliance exposure into one infrastructure risk picture.