Project SPP-GI-TC-2024-20 — Project Summary

Queue ID
SPP-GI-TC-2024-20
Capacity
250 MW
Technology
Solar
Status
active
Location
Lincoln County, CO
Region
SPP
Developer
—
IA Status
—

SPP-GI-TC-2024-20

SPP-GI-TC-2024-20BetaActiveSolar / PhotovoltaicSPPLive · SPP

250 MW generation in Lincoln County, CO · In queue since May 2024 · Proposed COD July 2027

BA: PSCOISO/RTO: SPPNERC: WECCRC: SPPW

250 MW

Capacity

0

Components

2y 5m

In Queue

—

IA Status

COD target: 2027

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

3y 2m

Pre-Study0%
Queue EntryMay 29, 2024

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: 2027-07-01

About

SPP-GI-TC-2024-20 is a proposed 250 MW solar photovoltaic generation project in Lincoln County, Colorado. The development project is listed in the interconnection queue of the Southwest Power Pool (SPP), with Tri-State Generation and Transmission Association (TSGT) as the associated transmission utility. No developer or project name is identified in the queue data. The project would interconnect at the Big Sandy 230 Substation.

The project entered the SPP queue on May 29, 2024, and remains active. It has requested both Energy Resource (ER) and Network Resource (NR) interconnection service, and its proposed commercial operation date is July 1, 2027. 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

CO

County

Lincoln County

Grid Region

SPP (Southwest Power Pool)

Market

ISO/RTO Member

Developer

—

Utility

TSGT

Entity

SPP

Service Type

ER/NR

Point of Interconnection

Big Sandy 230 Substation

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
POI Substation
Big Sandy 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.