Skip to main content

Power block price creation and conversion

Project description

elektra

Elektra is Molecule's core framework for block-logic (i.e., how to compute mwh from 5x16, 2x16, etc. blocks). It's derived from a set of our core logic internal to the Molecule application, and we're happy to share it with the world -- because nobody should ever have to fight with North American power block logic, ever, again.

Elektra is in pre-release mode, which means that signatures may change over time as we evolve the project to 1.0. Submissions are welcome.

These are the primary methods implemented in the elektra project, although many constructs and sub-functions are currently public.

  • create_prices
  • scrub_hourly_prices
  • convert
  • translateBlocks

Create Prices

This method creates block prices, given hourly prices for a period of time and a handful of other parameters. A key function of this method is that it validates whether enough prices have been submitted to do the calculation. So, if the block is 5x16, but a price is missing for a Wednesday at 11 AM, an exception will be thrown. Daylight Savings Time is also contemplated.

The create_prices method takes the following parameters:

  • flow_date - date | The as of date for the power prices (i.e., the settlement/reporting date needed)
  • ticker - string | The ticker symbol for the power product (Molecule ticker; used for identification, not calculation)
  • node - string | The node on the power grid (used for identification, not calculation)
  • iso - Elektra.Iso | The name of the Independent Service Operator
  • block - Elektra.Block | The desired power block for the output prices
  • frequency Elektra.Frequency | The desired frequency for the output prices either Daily or Monthly
  • prices DataFrame | A Pandas dataframe of prices consisting of flow_date, hour_ending, and price

The response from the method is a single price float the provided attributes.

Scrub Hourly Prices

This method validates that a submitted dataframe contains all the necessary hourly prices for a flow date, and returns a DataFrame with these prices. Daylight Savings Time (long-day and short-day) is contemplated.

The scrub_hourly_prices method takes the following parameters:

  • flow_date - date | The as of date for the power prices (i.e., the settlement/reporting date needed)
  • ticker - string | The ticker symbol for the power product (Molecule ticker; used for identification, not calculation)
  • node - string | The node on the power grid (used for identification, not calculation)
  • iso - Elektra.Iso | The name of the Independent Service Operator
  • prices DataFrame | A Pandas dataframe of prices consisting of flow_date, hour_ending, and price

The response from the method is a Pandas dataframe with the following columns of data:

  • Hour Beginning
  • Hour Ending
  • Required
  • Special
  • Value

Convert (Alpha)

Given a flow date and an input block (i.e., 5x16), this method returns the number of hours in another block.

For example, if today is Wednesday, November 4, 2020, and I have a 7x24 block (24 hours), but I want to see how many 5x16 hours that implies -- I'll get 16. On the other hand, if today is Saturday, October 31, 2020, and I have a Wrap block (24 hours that day), that only implies 8 hours of 7x8. This is useful when trying to convert a position purchased in one block, to a volume of another block. It works in tandem with the TranslateBlocks method.

The convert method takes the following parameters:

  • flow_date - date | The as of date for the power prices (i.e., the settlement/reporting date needed)
  • input_block -- (text: Wrap, 5x16, 2x16, 7x8, 7x16, 1x1) | The input block.
  • output_block -- (text: Wrap, 5x16, 2x16, 7x8, 7x16, 1x1) | The block for which we want to see hours.

Translate Blocks (Alpha)

Wrapper for convert, which adds the ability to convert a MW position for a term block (i.e., 7x24 monthly) to another block (or blocks) for that same term (i.e., 5x16, 2x16).

The translateBlocks method takes the following parameters:

  • iso - string | The short name of the Independent Service Operator (Elektra.Iso). This is not currently used, so beware when using for CAISO.
  • mw - decimal | The number of megawatts on the input block to be used for mw/mwh computation
  • frequency - text | monthly, daily, or hourly. Currently only monthly is implemented.
  • contract_start date | The first flow date of the block. This method will compute the last flow date.
  • in_block - string | 7x24, 5x16, Wrap, 2x16, 7x8
  • out_blocks - string array | accepted values include 7x24, 5x16, Wrap, 2x16, 7x8
  • out_uom - string | Set to MW for a megawatt number. Default is mwh.

Samples

Included in the samples directory, there is an example flask application which utilizes the elektra PIP package.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

elektra-0.0.10.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

elektra-0.0.10-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file elektra-0.0.10.tar.gz.

File metadata

  • Download URL: elektra-0.0.10.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.0 requests/2.23.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for elektra-0.0.10.tar.gz
Algorithm Hash digest
SHA256 bcc1f63f2b12e0831a02702226458303bd2357698e94fde6b8c4af17fbbe97b4
MD5 0d7cbd0aeac198ba7310d3df75baeee0
BLAKE2b-256 55283866bdf33772ecff988f968abf37e524ce398a81111c2185728197b82d96

See more details on using hashes here.

File details

Details for the file elektra-0.0.10-py3-none-any.whl.

File metadata

  • Download URL: elektra-0.0.10-py3-none-any.whl
  • Upload date:
  • Size: 4.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.0 requests/2.23.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for elektra-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 d1e76b841f02715abe225d206ffdf34306e74907a4b6ae9ca3e3e0b278252109
MD5 6bb53613627ea89ee06b7d26830f1e53
BLAKE2b-256 b2a09c03a82297674d4dc7aa45dd61cd3a1f3c40cce2bb94029c8077072b5af5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page