Project SPP-GEN-2026-GR1 — Project Summary

Queue ID
SPP-GEN-2026-GR1
Capacity
97.844 MW
Technology
Gas
Status
active
Location
Garden City, KS
Region
SPP
Developer
—
IA Status
—

SPP-GEN-2026-GR1

SPP-GEN-2026-GR1BetaActiveThermalSPPLive · SPP

97.844 MW generation in Garden City, KS · In queue since September 2026 · Proposed COD June 2028

BA: SWPPISO/RTO: SPPNERC: SPPRC: SPP

97.844 MW

Capacity

0

Components

1 month

In Queue

—

IA Status

COD target: 2028

Asset Intelligence Map

One connected view of the asset's ownership, operating or development evidence, grid context, commercial relationships, history, and forward outlook.

4 live dimensions
4 decision models

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Structured from the current asset record; empty data branches are omitted.Locked nodes are InfraSure decision models; no simulated values shown.
Interconnection

Total Duration

1y 9m

Pre-Study0%
Queue EntrySep 9, 2026

Interconnection request submitted to ISO/RTO

DISIS Study

SPP uses the Definitive Interconnection System Impact Study (DISIS) cluster process.

Typical: 36–48 months (improving)

Interconnection Agreement

Interconnection agreement not yet executed

Typical: 30–60 days (negotiation)

Commercial Operation

Proposed COD: 2028-06-01

About

SPP-GEN-2026-GR1 is a proposed gas-fired thermal generation project in the Garden City area of Kansas. The development project has a total capacity of 97.84 MW and is listed in the interconnection queue of the Southwest Power Pool (SPP). No developer or project name has been publicly identified in the queue data, so the project is referred to by its queue identifier.

The project entered the SPP queue on September 9, 2026, and its status is active. It proposes to connect at the Clifton point of interconnection within the SUNC utility area and requests Energy Resource (ER) interconnection service. Its proposed commercial operation date is June 1, 2028. The queue data does not report the status of an interconnection agreement.

Generated from interconnection queue and public data sources

Development Risk

Realization risk before commercial operation — cluster-study clearance, IA timing, counterparty mix, and withdrawal probability vs cohort. The diligence view that determines whether this project is worth pursuing. Powered by InfraSure's development-stage modeling stack.

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P(COD by stated date)
Withdrawal probability vs cohort
IA cluster risk
Project Details

State

KS

County

Garden City

Grid Region

SPP (Southwest Power Pool)

Market

ISO/RTO Member

Developer

—

Utility

SUNC

Entity

SPP

Service Type

ER

Point of Interconnection

Clifton

Data Source

Live · SPP

Risk Analytics

Composite operating-phase risk view — what this asset's risk profile would look like once it reaches commercial operation. Climate hazards across its operating life, expected generation variability, and offtake counterparty exposure, decomposed into a single decision-grade score. Powered by InfraRisk.

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Climate hazards (8+)
Generation variability (P10/P50/P90)
Offtake + transmission counterparty
Generation Forecast

Forward generation outlook — what this project would produce assuming it reaches commercial operation. Probabilistic ranges (P10/P50/P90) across weather, demand, and policy scenarios, conditioned on the proposed COD. Powered by InfraSure's generation modeling stack.

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P50 conditioned on COD
Capacity factor vs cohort
Weather + policy scenarios
Financial Forecast

Forward revenue, DSCR projection, and financing-close risk — conditioned on commercial operation. The bankability view that determines whether the deal clears its covenants once online. Powered by InfraSure's asset cashflow stack.

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Revenue conditioned on COD
Financing close risk
Cohort DSCR comparison
Market Context
Approximate
ISO / RTO
SPP
Trading Hub
SPP North Hub
Hub Confidence
HIGH
Nearest Node (Estimated)
MKECCLIFTON_UN1
POI Substation
Clifton Substation

This project's market context is estimated from its Point of Interconnection. Hub and node assignments are approximate and based on geographic inference from the POI substation name.

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InfraSure platform

Forward forecasts, scenario decomposition, and risk-decision tooling for this queue project.