PJM_MD100_GTEP_case

Case path: ModelCases/PJM_MD100_GTEP_case Data path: ModelCases/PJM_MD100_GTEP_case/Data_PJM_GTEP_subzones

Dashboard

A live demo is hosted on Hugging Face Spaces:

HOPE GTEP Dashboard →

The demo runs the PJM MD100 GTEP case with bundled output data — no installation required.

To run locally from the repo root:

python tools/hope_dashboard/gtep_app.py

Then open http://127.0.0.1:8051/ in your browser.

Model Setup Snapshot

SettingValue
model_modeGTEP
resource_aggregation1
endogenous_rep_day1
external_rep_day0
inv_dcs_bin0
operation_reserve_mode0

System Scale Overview

MetricValue
Zones35
States13
Existing generators3,565
Thermal generators1,686
VRE generators884
Existing storage units56
Existing transmission lines180
Unique zone-to-zone corridors54
Existing generator capacity207,809.9 MW
Existing storage power/energy5,396.9 MW / 21,587.6 MWh
Sum of zonal peak demands181,827.9 MW
Hourly load profile rows8,760

Candidate Expansion Options

MetricValue
Candidate generators137
Candidate generator capacity985,000 MW
Candidate storage units22
Candidate storage power/energy440,000 MW / 1,760,000 MWh
Candidate lines53
Candidate line capacity125,800 MW

Existing Capacity Mix Highlights

TypeUnitsExisting Capacity (MW)
NGCC28856,951.3
Coal12451,935.1
NGCT70743,616.3
NuC2628,901.2
Oil5386,656.9
SolarPV7876,128.8
WindOn955,287.9

Network View (Zone-Level, Geography-Style)

PJM MD100 zone network map

Map note: this is a geography-style engineering schematic anchored by state positions and PJM-style zone labels. It is not a strict GIS shapefile rendering, but the edge capacities and zone connections are from the model inputs.