zevOS

01Case study · Utilities & discoms

Public charging under a tender, with the reporting it demands

Subsidised public charging comes with reporting obligations. They are discovered late, and reconstructing them from incomplete records is painful.

State distribution utilityPublic charging under a state tenderComposite scenario
  • 38

    Public sites under the tender

  • Quarterly

    Reporting obligation

  • Per site

    Granularity required

The deployment

Profile

Deployment
Public charging on utility and municipal land
Obligation
Periodic energy, session and uptime reporting per site
Constraint
Evening peak coincides with driver demand

The problem

What was in the way

  1. 01The tender required energy, session and availability reporting per site per quarter, in a defined format.
  2. 02Charging load landed squarely on the evening peak, which is the worst hour for the distribution network.
  3. 03Planning wanted hour-of-hour load data at feeder level, which nothing was capturing.
  4. 04Availability had to be evidenced, not asserted, and outages explained.

The approach

What was actually done

Each step names the mechanism rather than the outcome, so you can judge whether it would transfer to your situation.

01

Report from the records, not from memory

Energy, sessions and per-connector availability are retained from day one at the granularity the tender asks for, so producing a quarterly return is a query rather than a reconstruction.

02

Price the peak honestly

Time-of-day tariff windows mirror the utility’s own structure, making off-peak charging materially cheaper and giving price-sensitive drivers a reason to shift.

03

Enforce the ceiling physically

Per-EVSE charging profiles cap draw at constrained sites regardless of what a driver would prefer, re-applied automatically after every charger boot.

04

Outages with causes attached

Every availability gap carries its decoded fault code and the action taken, which is what turns an uptime percentage into something a tender committee accepts.

The outcome

What changed

  • Quarterly returns produced from stored records rather than assembled by hand.
  • Measurable movement of discretionary charging out of the evening peak.
  • Hour-of-day load data available for network planning.
  • Availability evidenced per site with the outage list attached.

Would the same approach work for you?

Tell us your constraints and we will say honestly which parts of this transfer and which do not.