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Parse MATPOWER case into pandas DataFrame

Project description

MATPOWER Case Frames

Parse MATPOWER case into pandas DataFrame.

Unlike the tutorial on matpower-pip, this package support parsing MATPOWER case using re instead of Oct2Py and Octave. After that, you can further parse the data into any format supported by you solver.

Installation

pip install matpowercaseframes

Usage

from matpowercaseframes import CaseFrames

case_path = 'case9.m'
cf = CaseFrames(case_path)

print(cf.gencost)

If you have matpower installed via pip install matpower (did not require matpower[octave]), you can easily navigate MATPOWER case using:

import os
from matpower import path_matpower # require `pip install matpower`
from matpowercaseframes import CaseFrames

case_name = 'case9.m'
case_path = os.path.join(path_matpower, 'data', case_name)
cf = CaseFrames(case_path)

print(cf.gencost)

Acknowledgement

This repository was supported by the Faculty of Engineering, Universitas Gadjah Mada under the supervision of Mr. Sarjiya. If you use this package for your research, we are very glad if you cite any relevant publication under Mr. Sarjiya's name as a thanks (but you are not responsible to). You can found his publications on the semantic scholar or IEEE.

This package is a a fork and simplification from psst MATPOWER parser, thus we greatly thanks psst developers and contributors.

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matpowercaseframes-0.0.1a3.tar.gz (14.1 kB view hashes)

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