CAISO (California) 5 Min. Real Time Market LMP Prices For All AP Nodes

Updated Daily
Since 2016
Aggregated Pricing Nodes
5 Minutes
AP Node

Historical 5 minutes Locational Marginal Prices (LMP) for all Aggregated Pricing Nodes (AP Nodes) in $/MWh

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Charts of CAISO (California) 5 Min. Real Time Market LMP Prices For All AP Nodes

Applications

  • Short-term commitments (forecast) of Locational Marginal Prices (LMP)
  • Seasonal average and distribution of price
  • Historical trade area and regional price analysis
  • Congestion and loss analysis for efficient operations
  • Valuation of Power Purchase Agreements (PPA's)

DOCUMENTATION

CAISO (California) 5 Min. Real Time Market LMP Prices For All AP Nodes

Overview

This data product offers five minute interval prices for all Aggregated Pricing Nodes (AP Nodes) in CAISO since 2016.

APNode or APN is an Aggregated Pricing Node (Aggregated Pnode) that can be a Load Aggregation Point, Trading Hub or any group of Pricing Nodes as defined by the California ISO.

LMP is the locational marginal price where demand at that PNode consistent with existing Transmission Constraints and the performance characteristics of resources. The Transmission Provider determines separate components of the LMP for the marginal cost of Energy, Marginal Cost of Congestion, and Marginal Cost of Losses relative to the Reference Bus, consistent with the following equation:

LMP = Energy + Loss + Congestion + GHG

Node Coverage

In this product, we provide more than 2,500 Aggregated Point Nodes (AP Nodes) which have been occured since 2016.

The graph shows the number of AP Nodes by years:

Year Number of AP Nodes
2016 883
2017 1,147
2018 1,820
2019 2,175
2020 2,062 (ongoing)

Metric Coverage

For each AP Node, you will find:

  • LMP (Locational Marginal Price)
  • Energy Price
  • Congestion Price
  • Loss Price
  • Green House Gas prices (GHG price occurs in limited AP Nodes)

Data Collection Methodology

  • Data is cleansed and organized to provide a ready for analysis dataset
  • Both historical and current dates of operations are aggregated
  • All date and hours are quality checked for consistency and completeness
  • Data updates from CAISO three times a day

California Independent System Operator (CAISO) The California Independent System Operator is a non-profit Independent System Operator serving California. It oversees the operation of California's bulk electric power system, transmission lines, and electricity market generated and transmitted by its member utilities.

Key Features

  • Five-minute interval prices in $/MWh
  • Updated daily by 5:00 PM PST
  • Historical data goes back to 2016
  • Covers more than 2,500 CAISO AP Nodes (Aggregated Pricing Nodes)

DATA DICTIONARY

7 Data Columns

Operation Timestamp (opr_ts)

The datetime when the market runs and value supplied

Node Id (node_id)

Pricing / Aggregated Pricing Node Identification Code

Locational Marginal Price in the market (price_locational_marginal)

The marginal cost ($/MWh) of serving the next increment of Demand at that PNode consistent with existing Transmission Constraints and the performance characteristics of resources.

Marginal Cost of Congestion (price_congestion)

The component of LMP at a Pnode that accounts for the cost of congestion, as measured between that Node and a Reference Bus

Marginal Cost of Energy (price_energy)

The component of LMP at a Pnode that accounts for the marginal real power

Marginal Cost of Losses (price_loss)

The component of LMP at a Pnode that accounts for the marginal real power losses, as measured between that Node and a Reference Bus

Marginal Cost of Green House Gases (price_green_house_gas)

The component of LMP at a Pnode that accounts for the green house gases

Data Provider

Alta Bering

Alta Bering is a Data Curation and Business Analytics Company with its roots in management consulting and decision science. Alta Bering is based in British Columbia and also offers a visual business analytics platform called EPO to help solve complex business problems by using popular Machine Learning and statistical methods

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