Resilience as a Service White Paper • Web Edition

Rural microgrids Baseline kWh guarantees Wildfire resilience Grant-leveraged infra

Resilience as a Service

A private-sector model for deploying community-scale solar + battery microgrids in wildfire-prone rural towns — with contractually guaranteed baseline electricity and an operating model designed to reduce PSPS exposure, improve availability, and produce replicable deployment data.

Open Financial Model View Architecture Diagram Wildfire Hardening Notes

Thesis prompt: Can a privately structured, grant-leveraged microgrid operator deliver guaranteed baseline electricity to wildfire-prone rural communities at lower long-term cost and higher reliability than traditional investor-owned utility models?

Target PSPS reduction

≥ 80%

via islanding + local generation

Demo community size

~500 people

~200 households (adjustable)

Service promise

Baseline kWh/month

per household, contractually defined

Business model

DER operator + SPEs

stacked funding + grid services

Overview

Wildfire risk forces a different priority order than normal grid reliability planning: fire trumps reliability because overhead infrastructure cannot be made truly “fireproof” under extreme conditions. This paper explores an end-to-end model where resilience is delivered as an infrastructure service, with performance defined in contracts, not just utility SAIDI/SAIFI metrics.

What this model tries to prove

A DER operator (LLC/SPE structure) can deploy community microgrids in rural towns faster than traditional capex cycles.
Baseline energy guarantees are a viable product primitive (kWh/month per household).
PSPS exposure can be reduced materially through islanding + local supply.
Funding can be stacked: grants, tax credits, resilience funds, anchor contracts, and grid services/arbitrage.
Pilots can become a scalable “microgrid platform” serving 100+ communities in 10 years.

Baseline Energy Guarantees

The baseline guarantee is the core service commitment: a minimum monthly kWh allotment per household designed to keep critical life functions running during outages and PSPS events.

Baseline should cover

Refrigeration, lighting, device charging
Internet connectivity and basic computing
Medical devices (where applicable)
Limited heating/cooling (climate-dependent)

Billing primitive

Tier 1: Baseline kWh/month (guaranteed)
Tier 2: Above-baseline usage (normal tariff)
Optional: Critical load tier (medical/elder care)

Wildfire-Resilient Infrastructure

Undergrounding reduces ignition risk and exposure to wind, but it introduces a real long-term cost question: upgrades require excavation. The design goal is to minimize future dig-ups through modularity and capacity planning.

Underground distribution: what it really means

Pros: fewer wind faults, lower ignition risk, less PSPS dependency.
Cons: expensive installs, thermal constraints, harder repairs, upgrades require trenching.

How to avoid “dig every upgrade”

Overbuild conduit (extra ducts) on day one for future pulls.
Use standardized vaults/handholes for access points and expansions.
Plan for modular upgrades at aggregation points (pads) rather than along entire runs.
Use fiber + comms redundancy so control upgrades don’t require power trenching.
Prioritize sectionalization: smaller segments reduce repair blast radius.

Overhead hardening still matters

Covered conductor, insulated hardware, composite poles
Vegetation management + sensor-based fault detection
Selective undergrounding (highest-risk spans first)

Why Microgrids Change the Availability Math

PSPS events are a blunt tool: they trade community availability for fire prevention. Microgrids can shift that trade by enabling local “electrical islands” that keep running safely.

What improves availability

Islanding: community stays energized even if upstream lines are de-energized.
Local generation: solar supplies daytime loads; batteries cover night and peaks.
Load prioritization: baseline and critical loads protected first.
Reduced fault domain: smaller grid segments = smaller outage footprint.

Goal: ≥80% PSPS reduction Mechanism: sectionalization + local supply Key risk: permitting + interconnection delays

Microgrid Architecture Diagram

High-level architecture of a community solar + battery microgrid designed for islanding operation and baseline guarantees.

Note: this diagram is intentionally “macro.” If you want, we can later add a second diagram that breaks out: relays, PCC switchgear, SCADA/EMS, comms redundancy, and baseline enforcement logic.

Case Study Defaults (Editable)

These defaults are “reasonable placeholders” for a ~500-person town. Use the model below to tune assumptions and see the economics.

Households: ~200
Baseline guarantee: 400 kWh/month/household (adjust)
Load: ~2 GWh/year total community consumption (proxy)
System: ~1.5 MW solar + ~8 MWh battery (starting point)

Capital stack (concept)

Federal / state resilience funds (non-dilutive)
Tax credits (IRA/ITC where applicable)
Private capital for remaining gap
Anchor contracts + grid services as revenue engines

Financial Model (Demo Community)

This is a simplified operating model to test feasibility: capital cost, funding mix, baseline obligations, and revenue streams. It produces a quick view of annual cash flow and a payback-style signal.

Households

Baseline kWh / month / household

Total annual load (kWh)

Retail price ($ / kWh)

CAPEX (total project cost, $)

Grant coverage (% of CAPEX)

Tax credit value (% of CAPEX)

Private capital required (% of CAPEX)

Annual O&M + admin ($)

Anchor customer revenue ($/year)

Grid services & arbitrage revenue ($/year)

PSPS reduction achieved (%)

Tip: If grant% + tax% + private% ≠ 100%, the model will normalize the split for calculation.

Interactive Charts

These charts update as you change assumptions: baseline obligations vs load, funding split, and annual cash flow.