PG&E to Deploy 1,000 Itron Distributed Intelligence Devices

Key Facts
  • PG&E will install up to 1,000 Itron Grid Edge Intelligence devices through 2026, scaling to hundreds of thousands long-term
  • Distributed intelligence apps respond to grid changes in under one second via on-meter waveform capture
  • DI meters coordinate directly with Level 2 EV chargers to keep load within home panel limits, avoiding panel upgrades that typically cost thousands
  • Roughly half of homes in PG&E's territory have 100-amp service, blocking conventional Level 2 charger installs
  • Initial deployment partially funded by California's Electric Program Investment Charge (EPIC) public-purpose R&D program
  • Itron reports 16M+ DI-enabled meters shipped, 100M+ endpoints under management, 70 GWh flexible load/generation dispatched in 2025

Pacific Gas and Electric Company (PG&E) and Itron will deploy up to 1,000 grid-edge devices across PG&E territory through 2026, with plans to scale to hundreds of thousands. The expanded collaboration, announced February 3, 2026, runs distributed intelligence applications on Itron Riva meters to throttle EV charging within home panel limits, balance per-phase load as electrification accelerates, and capture waveform signatures in under one second to flag failing equipment before it sparks a wildfire. Initial work is partially funded through PG&E's Electric Program Investment Charge (EPIC) program.

What Is Being Built

The deployment installs Itron Riva DI-enabled meters that replace existing SmartMeters at customer sites. Each device runs edge applications that coordinate directly with Level 2 EV chargers, dynamically dialing charging current up or down based on the home panel's available headroom and conditions on the secondary distribution circuit. About half of homes in PG&E territory have 100-amp service; the meter-side control loop lets those customers add a Level 2 charger without a panel upgrade that typically runs into the thousands of dollars and months of permitting.

The same edge platform feeds PG&E's grid management systems with per-phase current, voltage, and waveform data. Distributed intelligence applications detect changes on the grid in less than one second, capturing waveform signatures of impedance faults, conductor slap, and incipient transformer failures that traditional AMI polling intervals miss. Itron reports more than 16 million DI-enabled meters shipped and 100 million endpoints under management, with 70 GWh of flexible load and generation dispatched through its IntelliFLEX DERMS in 2025.

Critical Perspective

PG&E plans to deploy 1,000 grid-edge devices. This scale is modest compared to Itron’s 16 million DI-enabled meters already shipped. Similar grid modernization efforts have faced slow adoption and integration challenges, like the smart meter rollout. Will this distributed intelligence truly prevent grid issues or simply add another layer of complexity and cost?

Critical Perspective

PG&E’s ambitious deployment of 1,000 Itron Grid Edge Intelligence devices by 2026 is a promising step towards managing per-phase loads and detecting waveform anomalies in real-time. However, the article does not acknowledge the fundamental physics constraints that could limit these devices’ effectiveness at scale. According to Watt-Logic’s research, DC capacitors in rack power supplies can handle slower fluctuations, but sub-second responses required by DI meters may introduce instability issues. For instance, Itron reports dispatching 70 GWh of flexible load/generation in 2025, yet this figure does not account for the potential grid-wide interactions and cascading effects at high frequency. If scaled to hundreds of thousands of devices, such rapid responses could overwhelm existing infrastructure, leading to increased voltage unbalance beyond ANSI C84.1 limits. The question remains: how will PG&E ensure that sub-second edge detection does not cause more harm than good? The physics of power distribution do not negotiate with digital precision; they demand a balance between speed and stability. Will the benefits of real-time load management outweigh the risks of introducing new instabilities, particularly in areas already constrained by voltage unbalance?

Why It Matters

Single-phase residential loads, particularly Level 2 EV chargers and heat pumps, create chronic phase imbalance on four-wire secondary distribution. ANSI C84.1 limits voltage unbalance to 3 percent, but heavy single-phase EV charging on one leg of a service transformer can push neutral currents and voltage drop well past that on individual feeders, derating motors and accelerating transformer aging. Pushing the balancing decision to the meter rather than relying on quarterly AMI reads or manual phase-swap crews lets utilities react before a feeder drifts out of spec.

The wildfire angle is the second driver. PG&E faces continuing regulatory pressure to detect and de-energize faulted equipment before ignition; sub-second waveform capture at the customer meter shortens the detection window from minutes to milliseconds for events like wire-down faults that draw too little current to trip a feeder breaker. The 1,000-device pilot will inform PG&E's long-term advanced metering infrastructure roadmap, with hundreds of thousands of additional devices expected if the early phase hits its operational targets.

Related Coverage

On the Ground
LocationOakland, CA
UtilityPacific Gas and Electric (PG&E)
GridCAISO
StageDeployment
TechnologyDistributed Intelligence Smart Meters (1,000 devices Phase 1), Grid Edge Computing, AMI
Project Timeline
8 updatesFirst seen Feb 3, 2026Latest Jun 2, 2026This article #1
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