Highbanks Solar (NYISO-863) — Project Summary

Queue ID
NYISO-863
Capacity
12.5 MW
Technology
Solar
Status
active
Location
Livingston, NY
Region
NYISO
Developer
Highbanks Solar LLC
IA Status
Facility Study

Highbanks Solar

NYISO-863BetaActiveSolarNYISOLBNL

12.5 MW generation in Livingston, NY · In queue since May 2019 · Proposed COD February 2026

BA: NYISISO/RTO: NYISONERC: NPCCRC: NYIS

12.5 MW

Capacity

1

Components

Solar

7y 2m

In Queue

Facility Study

IA Phase

Signed Oct 2022

Interconnection

Queue → IA

3y 5m

IA → COD

3y 4m

Total Duration

3y 5m

Schedule

5 months past proposed COD

Construction50%
Queue EntryMay 29, 2019

Interconnection request submitted to ISO/RTO

TCS Study

NYISO transitioned to a Transitional Cluster Study (TCS) format in 2024.

Typical: >42 months (historical); ~24 months target

Interconnection AgreementOct 17, 2022

Interconnection agreement executed — binding commitment to build

Typical: 30–60 days (negotiation)

ConstructionCurrent

Project under construction

Typical: 12–24 months

Commercial Operation

Proposed COD: 2026-02-01

About

Highbanks Solar is a proposed 20 MW solar generation project located in Livingston County, New York. The project, developed by Highbanks Solar LLC, is interconnected to the RG&E utility network and is listed in the NYISO interconnection queue as queue ID NYISO-863. The project entered the queue on May 29, 2019, and has a proposed commercial operation date of February 1, 2026. Its interconnection status is currently in the Facility Study phase.

The proposed project is linked to the existing Highbanks Solar operating plant (EIA ID 65934). The project has appeared in recent news coverage.

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

NY

County

Livingston

Grid Region

NYISO (New York)

Market

ISO/RTO Member

Developer

Highbanks Solar LLC

Utility

RG&E

Entity

NYISO

Service Type

Point of Interconnection

S158 High banks 34.5 kV

Data Source

LBNL

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
NYISO
Trading Hub
NYISO Zone C
Hub Confidence
MEDIUM
Nearest Node (Estimated)
23768
POI Substation
NEG CENTRAL___INDECK

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