power-grid-optimization
CommunityOptimize electrical grid operations.
Education & Research#optimization#power grid#renewable energy#unit commitment#grid reliability#demand response
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps optimize the generation, transmission, and distribution of electricity, ensuring reliable, cost-effective, and sustainable power delivery while maintaining grid stability.
Core Features & Use Cases
- Optimal Power Flow (OPF): Solves AC and DC OPF problems to determine the most efficient power dispatch.
- Unit Commitment: Determines optimal generator scheduling considering costs, ramp rates, and minimum uptime/downtime.
- Renewable Integration: Manages uncertainty from wind and solar, minimizes curtailment using storage and transmission.
- Reliability Analysis: Performs N-1 contingency analysis to ensure grid resilience.
- Demand Response: Optimizes demand response programs to reduce peak load.
Quick Start
Use the power-grid-optimization skill to solve an optimal power flow problem for a given grid configuration.
Dependency Matrix
Required Modules
pyomopulpnumpypandas
Components
scriptsreferences
💻 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: power-grid-optimization Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#power-grid-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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