SPP-GEN-2026-SR3
100 MW storage in Sayre, OK · In queue since January 2026
100 MW
Capacity
0
Components
4 months
In Queue
—
IA Status
Total Duration
4 months
Interconnection request submitted to ISO/RTO
SPP uses the Definitive Interconnection System Impact Study (DISIS) cluster process.
Typical: 36–48 months (improving)
Interconnection agreement not yet executed
Typical: 30–60 days (negotiation)
Commercial operation date not yet determined
Forward-looking exposure analytics for this queue project — climate hazards, expected generation variability, counterparty risk — into a single decision-grade view. Powered by InfraRisk.
See the full risk decomposition + scenarios for this project.
SPP-GEN-2026-SR3 is a proposed 100 MW battery storage project located in Sayre County, Oklahoma. The project is listed in the Southwest Power Pool (SPP) interconnection queue, having entered the queue on January 14, 2026. The interconnecting utility is AEP. The project's service type is listed as Energy Resource (ER).
The development project is currently listed as active in the SPP queue.
Generated from interconnection queue and public data sources
State
OK
County
Sayre
Grid Region
SPP (Southwest Power Pool)
Market
ISO/RTO Member
Developer
—
Utility
AEP
Entity
SPP
Service Type
ER
Point of Interconnection
Sweetwater 230kV
Data Source
Live · SPP
Forward-looking generation outlook for this queue project with probabilistic ranges across weather, demand, and policy scenarios. Powered by InfraSure's generation modeling stack.
See the full forecast + scenario decomposition for this project.
Forward revenue, DSCR bands, and refinancing risk for this queue project, projected under price, demand, and policy scenarios. Powered by InfraSure's asset cashflow stack.
See the full revenue + DSCR projection for this project.
- ISO / RTO
- SPP
- Trading Hub
- SPP South Hub
- Hub Confidence
- HIGH
- POI Substation
- Sweetwater 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.
Forward forecasts, scenario decomposition, and risk-decision tooling for this queue project.