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Tomorrow's grid, today. Paces launches automated Off-Cycle Case Updates.

Paces has launched Off-Cycle Case Updates, a new add-on to our Power Flow Study and the first commercially available, automated off-cycle sensitivity modeling on any platform. In this post, we break down how transmission base cases work, what stale data actually costs developers, and how Off-Cycle Case Updates close the gap between your analysis and the utility's.
Gabby Stein
Product Manager, Power
March 17, 2026

Power flow studies have always been the foundation of serious pre-interconnection analysis. But every study on the market has shared the same limitation: the grid keeps changing, but base cases don't. You’ve had to either accept the staleness or pay $$$ and wait weeks for updated data.

Today, that limitation ends for Paces customers.

Paces has built Off-Cycle Case Updates as an add-on to our Power Flow Study, making it the first productized, automated version of off-cycle sensitivity modeling available on any platform. With it, a Power Flow Study from Paces gives developers three things they can't get elsewhere:

  1. A grid model that reflects the latest known transmission changes, not just the last published snapshot. This closes the gap between what you study and what the utility will study.
  2. Visibility into whether planned upgrades resolve existing violations or introduce new ones. A developer studying a site near a major upgrade project will see whether that upgrade actually improves their interconnection economics or creates new constraints they need to plan for.
  3. The competitive landscape. Queued load and approved projects that are present in the utility's study model, but absent from the published base case, are now captured in your analysis.

The result is the most defensible pre-interconnection analysis available, designed to minimize the gap between your numbers and the utility's. Surprises should skew positive, not negative. And we deliver it it in as little as 5 days. No custom scoping, no multi-week proposals.

To understand why this matters and why we built it, it helps to understand how transmission base cases work, what model staleness actually costs developers, and why the options available until now haven't been good enough.

How transmission base cases work and why they fall behind

Power flow studies rely on transmission base cases: detailed grid models published by ISOs such as MISO, PJM, and ERCOT. These models represent the transmission system at a specific snapshot in time, typically updated once or twice a year.

The grid doesn't wait for the next publication. Between releases, transmission projects get approved, construction advances, and new large load applications change the picture. Transformer upgrades, substation reconfigurations, and topology changes accumulate steadily.

By the time a developer orders an interconnection study months after the last base case was published, the model may not reflect the grid they'll encounter when they sit down with the utility.

This isn't theoretical. Developers who get surprised by utility study results that look nothing like their own pre-development analysis almost always trace the discrepancy to model vintage: the developer studied against an older snapshot while the utility ran their analysis on a fresher internal model.

What stale base cases actually cost developers

The consequences are real and expensive. We see this in conversations with developers all the time. They want to model interconnection along a planned high voltage line, but it isn't available in the base case, even for cases in the early 2030s. Power engineers are then stuck having to run an analysis against the old cases, even when they know they’re not up-to-date.

That kind of gap leads to bad decisions in both directions:

  • Planned upgrades that would resolve violations in a developer's area won't appear in a stale model, making the site look worse than it is
  • Competing load projects or new infrastructure that introduce new constraints won't appear either, making the site look better than it is

When the utility returns a study that reflects all those changes, but the developer's analysis doesn't match, the result is either a costly surprise about upgrade requirements or a missed opportunity for a site that was actually viable. For data center developers facing transmission bottlenecks and a rapidly growing interconnection queue, the stakes are higher than ever.

Why the existing options aren't enough

Developers have had two options: 

  1. Study against the published base case and accept the risk
  2. Attempt Off-Cycle Case Updates themselves

The second option sounds better, but the effort required is why most teams don't pursue it. Off-cycle conditioning is technically possible. Consultants can do it. But it is manual, bespoke work: researching upgrade sources from ISO planning documents, parsing project data, matching modifications to specific buses in the model, writing engineering change commands, and debugging convergence issues when the model doesn't solve cleanly. For a single site, this process can take weeks. Even clients with experienced in-house power teams report that creating a single off-cycle case update can take two to three weeks.

Most consultants don't offer off-cycle updates as a standard product. It gets scoped as custom work, presented across multiple proposal rounds, and reserved for only the highest-stakes sites. The cost runs into the tens of thousands of dollars per engagement.

Other platforms in the market offer useful screening-level grid data, but none of them deliver actual power flow studies run against conditioned models. 

What we built and why

We kept hearing the same frustration from clients: the data they needed for confident interconnection decisions either didn't exist in a timely format or took weeks of manual work to produce. So we automated the entire process and built it into the product.

Our pipeline scrapes proposed and approved upgrade data from ISO planning documents, regional transmission expansion plans, and publicly filed project data. Each modification is translated into engineering change commands and applied to the base model. Convergence is validated before any analysis runs.

The conditioned cases are refreshed monthly and cover >90% of high-impact proposed upgrades, including:

  • New transmission lines
  • Transformer additions and re-ratings
  • Substation reconfigurations
  • Queued large load projects

The study itself runs on the conditioned model using the same methodology as our standard Power Flow Study: security-constrained dispatch, contingency analysis, thermal and voltage violation identification, and upgrade cost estimation. The difference is that the results reflect the grid as it will likely exist, not just as it was last published.

Why it matters now

The grid is changing faster than ever. Data center sites are disappearing every day, making competition fiercer than ever. Large loads are driving unprecedented demand for interconnection capacity across MISO, PJM, and ERCOT. The gap between what a published base case shows and what the grid actually looks like is getting wider, not smaller.

For data center developers making decisions about where to invest, which sites to pursue, and when to enter the interconnection queue, studying against a stale model is a strategic risk.

We built off-cycle case updates because every serious interconnection decision should be based on the best available picture of the grid. Combined with our base Power Flow Study and N-1-1 contingency analysis, it's the most comprehensive, fastest power validation available on any platform. Learn more by speaking with our team.

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