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Resiliency & Operations

Degraded-Mode Power Scheduling

For the burner, deciding what power to promise when a unit is derated - honest firm-power commitments under the availability gate.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

Promising only what you can hold

A firm-power customer - a MetroVolt data center, an Aegis fixed defense installation - needs a commitment the plant can keep. Degraded-mode power scheduling decides, given the current health of every unit, how much firm power to promise so that a further single fault does not break the commitment. It is graceful degradation expressed as a dispatch policy, and it is bounded by the honest availability gate.

Firm vs available

Available power is what the fleet can produce right now; firm power is what it can guarantee through the next credible fault. The scheduler commits firm power below available power by a reserve margin sized to the worst single-unit loss, so a failover event causes a reserve draw, not a shortfall.

python
def firm_power(unit_caps, reserve_units=1):
    # firm = total capacity minus the largest 'reserve_units' contributors
    caps = sorted(unit_caps, reverse=True)
    return sum(caps) - sum(caps[:reserve_units])

# with a stressed plug, a unit's cap is its DERATE point, not its design point
print(firm_power([80, 80, 80, 80], reserve_units=1))  # 240 firm from 320 available

The plug shapes the schedule

The scheduler never promises past the availability envelope; if health degrades, the firm commitment steps down transparently rather than being missed. It draws unit health from predictive maintenance and reserve sizing from fleet availability. Nothing here is expressed in economic terms - only megawatts and time.

Content reviewed August 2026 · design-and-simulation stage