Nelson 345 kV (PJM-AH1-718 - moved to TC2) — Project Summary

Queue ID
PJM-AH1-718 - moved to TC2
Capacity
391 MW
Technology
Gas
Status
active
Location
Lee, IL
Region
PJM
Developer
IA Status

Nelson 345 kV

PJM-AH1-718 - moved to TC2BetaActiveNatural GasPJMLive · PJM

391 MW generation in Lee, IL · In queue since April 2025

BA: PJMISO/RTO: PJMNERC: RFCRC: MISO

391 MW

Capacity

0

Components

1y 3m

In Queue

IA Status

Interconnection

Total Duration

1y 3m

Pre-Study0%
Queue EntryApr 7, 2025

Interconnection request submitted to ISO/RTO

System Impact Study

PJM processes interconnection requests through multi-phase System Impact Studies (SIS).

Typical: ~48 months (historically longest)

Interconnection Agreement

Interconnection agreement not yet executed

Typical: 30–60 days (negotiation)

Commercial Operation

Commercial operation date not yet determined

Cross-source intelligence
Beta
Low confidence·0 sources·as of 2026-06-01
Expected COD
Developer
Status
Active
Active — recently entered PJM queue (April 2025), early-stage interconnection study
Financing
Unannounced
Key milestones
IA executedApr 7, 2025Most recent

Project entered PJM queue as AH1-718, later moved to TC2

About

The Nelson 345 kV project is a proposed 391 MW natural gas generation project located in Lee County, Illinois. The project is in the PJM interconnection queue as entry PJM-AH1-718, which was moved to TC2. The queue entry date is April 7, 2025.

The project is listed as active in the interconnection queue and is seeking a Generation Interconnection service type with utility ComEd. The developer is not specified in the provided data.

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

IL

County

Lee

Grid Region

PJM Interconnection

Market

ISO/RTO Member

Developer

Utility

ComEd

Entity

PJM

Service Type

Generation Interconnection

Data Source

Live · PJM

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
PJM
Trading Hub
N ILLINOIS 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.

No insights available for this project.

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InfraSure platform

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