dc-power-flow

Community

Fast DC power-flow insights for grids

AuthorKaiserWhoLearns
Version1.0.0
Installs0

System Documentation

What problem does it solve?

DC power-flow analysis provides a fast, linearized view of transmission networks to support planning and operations, reducing computational burden relative to full AC models.

Core Features & Use Cases

  • Construct the susceptance matrix B from branch data, including non-contiguous bus numbering.
  • Compute line flows and loading percentages from bus angle solutions.
  • Support slack-bus handling and simple sensitivity analyses for contingency studies.
  • Use Case: Quickly estimate grid responses under small-angle DC approximations for planning and operation.

Quick Start

Run the DC power-flow workflow on a sample network to compute the susceptance matrix and line flows.

Dependency Matrix

Required Modules

numpy

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

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

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

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.