SPP-GEN-2024-180
100 MW storage in Mayes, OK · In queue since March 2025
100 MW
Capacity
0
Components
1y 2m
In Queue
—
IA Status
Total Duration
1y 2m
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-2024-180 is a proposed 100 MW battery storage project located in Mayes County, Oklahoma. The project is in the Southwest Power Pool (SPP) interconnection queue, with a queue entry date of March 1, 2025. The designated point of interconnection (POI) is the Kerr Dam 161 kV Substation. The project's service type is listed as ER/NR.
The project is currently listed as active in the SPP queue. The utility associated with the project is Grand River Dam Authority (GRDA). The developer is not specified in the available data.
Generated from interconnection queue and public data sources
State
OK
County
Mayes
Grid Region
SPP (Southwest Power Pool)
Market
ISO/RTO Member
Developer
—
Utility
GRDA
Entity
SPP
Service Type
ER/NR
Point of Interconnection
Kerr Dam 161 kV Substation
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
- MEDIUM
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.