evo-acopf-network-parser
SkillFiles & storageParses Matpower-style network.json files into Python data structures suitable for ACOPF formulation.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the evo-acopf-network-parser skill
What this skill tells your AI
The instructions your AI receives, as published by openlair/openskill in tasks-evolved/energy-ac-optimal-power-flow/environment/skills/evo-acopf-network-parser/SKILL.md and read by ahel’s review.
Parses Matpower-style network.json (array format) into solver-ready structures.
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-acopf-network-parser/scripts')
from utils import parse_network_json, map_generators_to_buses, identify_reference_buses, get_branch_bus_mappings
baseMVA, buses, gens, branches, loads_by_bus, shunts_by_bus = parse_network_json('network.json')
gen_at_bus = map_generators_to_buses(gens, buses)
ref_buses = identify_reference_buses(buses)
branch_from, branch_to = get_branch_bus_mappings(branches, buses)
Key Details
- Bus data includes embedded PD/QD (loads) and GS/BS (shunts)
- All power values converted to per-unit (divided by baseMVA)
- Angles converted from degrees to radians
- Cost coefficients scaled for per-unit solver evaluation
- Out-of-service generators and branches are filtered out
Signals
- GitHub stars
- 91
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
evo-acopf-network-parser- Source
- github.com/openlair/openskill