Project SPP-GEN-2023-102 — Project Summary

Queue ID
SPP-GEN-2023-102
Capacity
475 MW
Technology
Solar+Battery
Status
active
Location
Woods, OK
Region
SPP
Developer
IA Status
Facility Study

SPP-GEN-2023-102

SPP-GEN-2023-102BetaActiveSolarBatterySPPLBNL + Live

475 MW hybrid in Woods, OK · In queue since October 2023 · Proposed COD June 2029

BA: SWPPISO/RTO: SPPNERC: SPPRC: SPP

475 MW

Capacity

1

Components

Solar

2y 9m

In Queue

Facility Study

IA Phase

COD target: 2029

Interconnection

Total Duration

5y 8m

Study Phase

DISIS-2023-001; 04 SOUTHEAST

Facilities Study50%
Queue EntryOct 2, 2023

Interconnection request submitted to ISO/RTO

DISIS StudyCurrent

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: 2029-06-30

About

SPP-GEN-2023-102 is a proposed 475 MW hybrid solar and battery energy storage project located in Woods County, Oklahoma. The project consists of 475 MW of solar generation. It is listed in the Southwest Power Pool (SPP) interconnection queue, having entered the queue on October 2, 2023, with a proposed commercial operation date of December 17, 2027. The interconnecting utility is Oklahoma Gas & Electric (OGE).

The project's interconnection status is currently in the System Impact Study phase. The point of interconnection (POI) is the Degrasse 345 kV Substation.

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.

Available on the InfraSure platform

See the full development-risk decomposition for this project.

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

State

OK

County

Woods

Grid Region

SPP (Southwest Power Pool)

Market

ISO/RTO Member

Developer

Utility

OGE

Entity

SPP

Service Type

NRIS/ERIS

Point of Interconnection

Degrasse 345 kV Substation

Data Source

LBNL + Live

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.

Available on the InfraSure platform

See the full risk decomposition + scenarios for this project.

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.

Available on the InfraSure platform

See the full forecast + scenario decomposition for this project.

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.

Available on the InfraSure platform

See the full revenue + DSCR projection for this project.

Revenue conditioned on COD
Financing close risk
Cohort DSCR comparison
Market Context
Approximate
ISO / RTO
SPP
Trading Hub
SPP South Hub
Hub Confidence
HIGH
POI Substation
DeGrasse 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.

No insights available for this project.
InfraSure platform

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