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Grid Flexibility Index · V1 · 2026Q2

Where grid flexibility is worth the most, and where the grid can actually use it.

Opportunity is how much flexibility value a grid needs. Readiness is whether that value can be activated and paid.

Quadrants: · · ·

UNTAPPEDREADY TO SCALEMONITORACTIVATEDReadiness → able to activateOpportunity → value the grid needs358358CAISOERCOTPJMMISONYISOISO-NESPP
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Grid Flexibility Index V1How the index works

Questions or feedback on the Index?

Grid Flexibility Index V1. Coming next: utility-level scores within each grid and customer-class lenses.

ERCOT

PinnedActivated
Opportunity
3.86 / 10
range 3.6-4.3
Readiness
5.01 / 10
range 4.3-5.7
#
Activated in 50% of our (Monitor in 50%).
Value3.59
Stress4.45
Momentum3.47
Infrastructure9.64
Rates2.13
Market access8.80
Programs4.21
Institutions4.14
CertaintyHigh / Medium

Using several years of prices instead of the last four quarters would place ERCOT in Ready to scale.

ERCOT is within 0.01 of the quadrant line on the Readiness axis.

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Full ranking

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GridOpportunity ▼ReadinessQuadrantOpportunity rangeReadiness range
PJM6.374.76Untapped70%6.1-6.84.1-5.3High / Medium
SPP6.094.62Untapped67%5.8-6.54.2-5.4High / Medium
MISO5.634.80Untapped57%5.4-6.34.3-5.5High / Medium
ISO-NE5.044.20Untapped67%4.6-5.93.7-4.8High / Medium
NYISO4.346.37Activated97%4.1-4.85.6-6.9High / Medium
ERCOT3.865.01Activated50%3.6-4.34.3-5.7High / Medium
CAISO3.806.58Activated100%3.7-4.15.8-6.9High / Medium

How to read the quadrant

Each cell answers a different reader's question.

Opportunity: How much flexibility value a grid needs. Readiness: Whether that value can be activated and paid.

Untapped

high opportunity · low readiness

The reform target. Large, measured value is locked behind rate design and market access. Regulators and advocates should look here first.

Ready to scale

high opportunity · high readiness

Operator entry territory. The value is large and the rules let customers reach it.

Monitor

low opportunity · low readiness

Watch the momentum. The value and the means to capture it are both still small.

Activated

low opportunity · high readiness

Little untapped value remains relative to how ready the grid is.

Key takeaways

  • PJM has the most value on the table for flexible demand (Opportunity 6.37). Its Value score (7.22) is the highest of the seven. Capacity is the largest piece of that value. PJM's capacity auction has cleared at its price ceiling for three straight delivery years: $329.17 for 2026/27, $333.44 for 2027/28, and $325.00 for 2028/29 per megawatt-day. The published PJM score uses the 2027/28 auction. The 2028/29 result is shown for reference and will be considered in a later release. Its Readiness (4.76) sits below the quadrant line, which places PJM in Untapped.#
  • California has built the most of what flexibility needs and has the least untapped value left. CAISO leads on Readiness (6.58). Its Infrastructure (9.73) and Rates (6.44) scores are the highest of the seven. California made time-of-use pricing the default residential rate. EIA reports that Southern California Edison's residential enrollment in time-varying pricing programs, time-of-use included, rose from about 20,000 in 2013 to 2.65 million in 2024. CAISO's Opportunity score (3.80) is the lowest of the seven.#
  • In ERCOT's competitive market, time-of-use pricing is opt-in. ERCOT ties CAISO for the highest Market access score (8.80), yet its Rates score (2.13) is second lowest. Texas households choose their own retail plan and pay a time-varying price only if they pick one. State rules have also barred indexed pricing plans for residential and small-business customers since February 2022.#
  • New York rewards its utilities for growing demand response. NYISO's Institutions score (9.37) is the highest in the release, well above the next grid (ISO-NE, 7.59). New York regulators decouple utility revenue from electricity sales. They also pay earnings incentives tied to demand-response growth.#
  • MISO is the Untapped grid closest to Ready to scale. It lands there in 42% of our sensitivity tests, more often than PJM (30%) or SPP (33%). It also has the highest Momentum score (7.61). Congestion became more common on five of the seven grids over the last three years. MISO is the only one where value also became more concentrated in the highest-price hours.#

How the index works

Flexible demand means homes, businesses, and large facilities that shift or cut their electricity use when the grid is strained. It can do some of the work of new power plants and power lines. It pays off only where the grid needs it and the rules let customers take part. The Grid Flexibility Index measures both for the seven US wholesale power markets. It is published as dated, versioned releases. This is the 2026Q2 release, and later updates are published as new releases.

Opportunity measures how much flexibility is worth on a grid: what its markets pay for capacity, energy, and grid services, how stressed the grid is, and which way those pressures are moving. Readiness measures whether that value can reach customers: smart meters, time-varying rates, market access for companies that pool customers, demand-response programs that deliver, and utility incentives that reward it. Both are scored from 1 to 10 and read as a pair. A grid can need flexibility badly and still be unable to use it.

Both scores are built from published sources and documented estimates: ISO market prices, EIA utility filings, NERC reliability assessments, regulator orders and tariffs, and FERC dockets. Some inputs are our own estimates or proxies (the capacity price for three grids, the utility-incentive score for utilities we could not resolve individually), and the methodology page lists the basis and vintage of each factor. Each factor is measured against the same fixed range for every grid. Scores are comparable across grids and from one release to the next.

To test how much the results depend on our own judgment calls, we run a Monte Carlo simulation. It re-scores every grid 20,000 times. Each run varies the category weights, the scoring ranges, and how factors are combined. It also shifts each input within a range set by its data quality or documented uncertainty. The shaded area around each grid spans the middle 80% of its simulated Opportunity and Readiness scores. Quadrant consistency shows how often a grid stays in the same quadrant.

Version 1 scores 19 factors. Wholesale demand-response participation is not scored in Version 1. A replacement measure of market access is under review. The time-varying-rates factor counts residential customers. Every other factor covers all customers or the grid as a whole.

The factors

Opportunity

12 factors · Value 3 · Stress 6 · Momentum 3

Value · 3 factors

Value stack
What flexible demand could earn across four streams: capacity payments, energy arbitrage, grid services, and avoided transmission charges.
  • Capacity value. What flexible demand could earn by standing in for the capacity a grid pays generators to guarantee is available at peak.
  • Energy arbitrage. What flexible demand could earn shifting electricity use from expensive hours to cheap ones, based on actual wholesale prices.
  • Grid services. What flexible demand could earn providing the fast-response support services, like frequency regulation, that keep the grid stable minute to minute.
  • Transmission avoidance. What flexible demand could earn by cutting usage during the specific peak hours transmission charges are based on.
Value concentration
How much of a grid's yearly flexibility value shows up in just a handful of hours, rather than spread evenly across the year.
Value predictability
How often the highest-value hours are visible a day ahead, which determines whether flexibility can actually be scheduled for them.

Stress · 6 factors

Congestion intensity
The share of hours in which transmission congestion affects wholesale prices.
Demand growth
How fast peak electricity demand is growing, combining the recent multi-year trend with new large loads requesting a grid connection.
Peakiness
How concentrated a grid's electricity use is into a few peak hours, rather than spread evenly across the year.
Reserve margin
How far a grid's projected spare generating capacity falls below, or stays above, its reliability reference level.
Surplus stress
The share of hours when real-time wholesale prices go negative, a sign of surplus power that flexible demand could absorb.
Winter and fuel risk
How large a grid's winter peak is relative to its summer peak, combined with the share of its generating capacity that runs on natural gas.

Momentum · 3 factors

Scarcity trend
Whether the share of a year's value packed into its highest-price hours has risen or fallen over the last three years.
Congestion trend
Whether congested hours have become more or less common over the last three years.
Value capture to date
How much flexibility is already deployed (grid-scale and customer batteries plus utility demand response) as a share of peak. More deployed means less value left untapped.

Readiness

8 factors, 7 scored in V1 · Infrastructure 1 · Rates 1 · Market access 3 · Programs 2 · Institutions 1

Infrastructure · 1 factor

Smart meters
The share of homes and businesses with an advanced meter capable of supporting time-varying rates and flexibility programs.

Rates · 1 factor

Time-varying rates
Whether residential customers can get an electricity rate that varies with the time of day, and how many are on one. Tariff access carries 60% of the factor and EIA-reported enrollment carries 40%.

Market access · 3 factors

Wholesale participation(added in a later release)
The share of peak demand enrolled to earn revenue directly in wholesale electricity markets.
Aggregator access
Whether independent companies may bundle homes and businesses together to sell their flexibility into markets, and how far along that access is.
Retail market structure
Whether customers can choose their electricity supplier, which determines whether they can reach products tied to wholesale value.

Programs · 2 factors

Demand-response enrollment
The share of peak demand enrolled in a utility-run demand-response program.
Demand-response realization
How much peak reduction demand-response programs actually delivered, as a share of what they were enrolled to deliver.

Institutions · 1 factor

Utility incentives
Whether a utility earns more, or at least loses nothing, when it helps customers use less at peak.

Time-varying-rates data covers 78.8% to 100.0% of residential meters in the utility rosters, depending on the grid. Utility-incentive scores are taken from each utility's rate orders where we have read them and from the average for similar utilities (investor-owned or public power) where we have not, with higher confidence for 6 grids and lower for ISO-NE.

Get the GFI briefing

The scores, methods, and ranges on this page stay open. Subscribe for each release's executive briefing: what changed, why it matters, and one market or utility example. Coming next: utility-level scores within each grid and customer-class lenses for residential, commercial, and large-load customers.

Questions or feedback on the Index?

Grid Flexibility Index V1. Coming next: utility-level scores within each grid and customer-class lenses.

Grid Flexibility Index V1 · 2026Q2 release · trailing 4 quarters ending 2026Q2 · updated 2026-09-27

Corey Balgeman, "Grid Flexibility Index, 2026Q2 release: ERCOT," Grid Flexibility, 2026. https://gridflexibility.fyi/gfi/ercot

License: CC BY 4.0