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PCA Pillar 02 · Curtailment & Congestion

Probabilistic Capacity Assessment.

Where should the next electrolyser, BESS or demand block actually sit?

PCA moves a candidate asset through every zone over several years, places capacity where it does the most good, and ranks the zones by what an extra megawatt is worth there.

Request a trial See an example
Headroom · eight candidate substationsIllustrative
ABCDEFGH0200400600headroom (MW)
Sites that fitof eight–at least 1
Best sitefirm headroom– MWfor reference
Curtailmentflexible only–%limit 5%

Why it matters nowData centres and offshore wind are queuing faster than networks can take them, and an asset in the wrong zone pays for congestion for its whole life. PCA shows which zones avoid that, before the money is committed.

How PCA works.

  1. 01

    Alternating locations

    Bundle a candidate asset, shift it through every zone, score by redispatch delta.

  2. 02

    Capacity allocation

    One optimisation places capacity across all zones at once.

  3. 03

    Zonal shadow price

    What one extra MW is worth in each zone, in £.

  4. 04

    Ranked siting

    The three views agree on a ranked list of sites.

Example study

Site it where it earns its capital back.

Relative redispatch cost for a large new asset placed in each candidate zone. The lowest-cost zones are the only places it pays back. Hover any zone.

Figures from an example run on a test network.

14Zones evaluated
GW‑scaleCapacity placed
£1.4 bnCost saved · vs worst
Zone 8 · 1Top siting zones
Redispatch cost by candidate siting zone · multi-year · large new load
Hover a zone bar for detail
What it tells you

All three modes agree: only a handful of zones let an electrolyser earn its capital back. Everywhere else loses money.

Next step

Try PCA on your own network.

Request a trial [email protected]