Project SPP-GEN-2024-032 — Project Summary

Queue ID
SPP-GEN-2024-032
Capacity
250 MW
Technology
Solar
Status
active
Location
Stevens, KS
Region
SPP
Developer
IA Status
System Impact Study

SPP-GEN-2024-032

SPP-GEN-2024-032BetaActiveSolarSPPLBNL + Live

250 MW generation in Stevens, KS · In queue since October 2024 · Proposed COD December 2028

250 MW

Capacity

1

Components

Solar

1y 7m

In Queue

System Impact Study

IA Status

COD target: 2028

Interconnection

Total Duration

4y 2m

Impact Study25%
Queue EntryOct 30, 2024

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: 2028-12-31

About

SPP-GEN-2024-032 is a proposed solar generation project located in Stevens County, Kansas, within the Southwest Power Pool (SPP) region. The project, with a total capacity of 250 MW, consists entirely of solar photovoltaic generation. The project's interconnection request was entered into the SPP queue on October 30, 2024, with a proposed commercial operation date of December 31, 2028. The interconnection customer is SUNC. The project's interconnection status is currently in the System Impact Study phase.

The point of interconnection (POI) for the project is the Hugoton 115 kV Substation. The project is listed as "active" in the SPP interconnection queue.

Generated from interconnection queue and public data sources

Project Details

State

KS

County

Stevens

Grid Region

SPP (Southwest Power Pool)

Market

ISO/RTO Member

Developer

Utility

SUNC

Entity

SPP

Service Type

Point of Interconnection

Hugoton 115 kV Substation

Data Source

LBNL + Live

Market Context
Approximate
ISO / RTO
SPP
Trading Hub
SPP North 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.

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