Nyiso

Nyiso#

Module Contents#

Classes Summary#

NYISO

New York Independent System Operator (NYISO)

Attributes Summary#

`dataset_interval_map`
`GENERATOR`	load zone and point of generator interconnection
`ZONE`

Contents#

gridstatus.nyiso.dataset_interval_map[source]#

gridstatus.nyiso.GENERATOR = 'generator'[source]#

load zone and point of generator interconnection

Type:: NYISO offers LMP data at two locational granularities

class gridstatus.nyiso.NYISO[source]#

Bases: gridstatus.base.ISOBase

New York Independent System Operator (NYISO)

Attributes

default_timezone	US/Eastern
interconnection_homepage	https://www.nyiso.com/interconnections
iso_id	nyiso
markets	None
name	New York ISO
status_homepage	https://www.nyiso.com/system-conditions

Methods

`get_btm_solar`	Returns estimated BTM solar generation at a previous date in hourly
`get_btm_solar_forecast`
`get_capacity_prices`	Pull the most recent capacity market report's market clearing prices
`get_fuel_mix`
`get_generators`	Get a list of generators in NYISO
`get_interconnection_queue`	Return NYISO interconnection queue
`get_lmp`	Supported Markets:
`get_load`	Returns load at a previous date in 5 minute intervals for
`get_load_forecast`	Get load forecast for a date in 1 hour intervals
`get_loads`	Get a list of loads in NYISO
`get_raw_interconnection_queue`
`get_status`

get_btm_solar(date, end=None, verbose=False)[source]#

Returns estimated BTM solar generation at a previous date in hourly

intervals for system and each zone.

Available ~8 hours after the end of the operating day.

Parameters:

date (str, pd.Timestamp, datetime.datetime) – Date to get load for. Can be “latest”, “today”, or a date
end (str, pd.Timestamp, datetime.datetime) – End date for date range. Optional.
verbose (bool) – Whether to print verbose output. Optional.

Returns:

BTM solar data for NYISO system and each zone

Return type:

pandas.DataFrame

get_btm_solar_forecast(date, end=None, verbose=False)[source]#

get_capacity_prices(date=None, verbose=False)[source]#

Pull the most recent capacity market report’s market clearing prices

Parameters:

date (pandas.Timestamp) – date that will be used to pull latest capacity report (will refer to month and year)
verbose (bool, optional) – print out requested url. Defaults to False.

Returns:

a DataFrame of monthly capacity prices (all three auctions) for each of the four capacity localities within NYISO

get_fuel_mix(date, end=None, verbose=False)[source]#

get_generators(verbose=False)[source]#

Get a list of generators in NYISO

When possible return capacity and fuel type information

Parameters:

verbose (bool, optional) – print out requested url. Defaults to False.

Returns:

a DataFrame of generators and locations

Possible Columns

Generator Name
PTID
Subzone
Zone
Latitude
Longitude
Owner, Operator, and / or Billing Organization
Station Unit
Town
County
State
In-Service Date
Name Plate Rating (V) MW
2022 CRIS MW Summer
2022 CRIS MW Winter
2022 Capability MW Summer
2022 Capability MW Winter
Is Dual Fuel
Unit Type
Fuel Type 1
Fuel Type 2
2021 Net Energy GWh
Notes
Generator Type

Return type:

pandas.DataFrame

get_interconnection_queue(verbose=False)[source]#

Return NYISO interconnection queue

Additional Non-NYISO queue info: https://www3.dps.ny.gov/W/PSCWeb.nsf/All/286D2C179E9A5A8385257FBF003F1F7E?OpenDocument

Returns:: Interconnection queue containing, active, withdrawn, and completed project
Return type:: pandas.DataFrame

get_lmp(date, end=None, market: str = None, locations: list = None, location_type: str = None, verbose=False)[source]#

Supported Markets:

REAL_TIME_5_MIN (RTC)
REAL_TIME_15_MIN (RTD)
DAY_AHEAD_HOURLY

Supported Location Types:

zone
generator

REAL_TIME_5_MIN is the Real Time Dispatch (RTD) market. REAL_TIME_15_MIN is the Real Time Commitment (RTC) market. For documentation on real time dispatch and real time commitment, see: https://www.nyiso.com/documents/20142/1404816/RTC-RTD%20Convergence%20Study.pdf/f3843982-dd30-4c66-6c21-e101c3cb85af

get_load(date, end=None, verbose=False)[source]#

Returns load at a previous date in 5 minute intervals for: each zone and total load

Parameters:

date (str) – Date to get load for. Can be “latest”, “today”, or a date in the format YYYY-MM-DD
end (str) – End date for date range. Optional.
verbose (bool) – Whether to print verbose output. Optional.

Returns:

Load data for NYISO and each zone

Return type:

pandas.DataFrame

get_load_forecast(date, end=None, verbose=False)[source]#: Get load forecast for a date in 1 hour intervals

get_loads(verbose=False)[source]#

Get a list of loads in NYISO

Parameters:: verbose (bool, optional) – print out requested url. Defaults to False.
Returns:: a DataFrame of loads and locations
Return type:: pandas.DataFrame

get_raw_interconnection_queue(verbose=False) → BinaryIO[source]#

get_status(date, end=None, verbose=False)[source]#

gridstatus.nyiso.ZONE = 'zone'[source]#