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power-flow-data

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Parse power system data quickly and reliably.

Data & Analytics#json-parsing#matpower#power-flow#grid-data#bus-gen-branch#per-unit#load-flow
AuthorKaiserWhoLearns
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Power system data often comes in MATPOWER format, which is cumbersome to parse and analyze without a clear guide. This skill provides practical instructions to efficiently load and interpret bus, generator, and branch data for power-flow studies.

Core Features & Use Cases

  • MATPOWER format support: bus, gen, branch, and gencost data with per-unit system guidance.
  • Efficient loading approach for large networks using Python's json parser rather than line-by-line reads.
  • Utilities for mapping non-contiguous bus numbers and identifying the slack bus.

Quick Start

Load a MATPOWER-formatted network.json and follow the guide to compute basic topology and system loads.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: power-flow-data
Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#power-flow-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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