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network-modeling

network-modeling

Build, mutate, validate, and migrate PyPSA Network component models.

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Documentation de la Skill

GitHub

name: network-modeling description: "Build, mutate, validate, and migrate PyPSA Network component models." disable-model-invocation: true metadata: disco-role: operating license: MIT

PyPSA network-modeling sub-skill

Use this sub-skill when the task is to create or mutate a pypsa.Network: define buses, carriers, components, static and time-varying attributes, snapshots, investment periods, scenarios, component schemas, standard line/transformer types, and modeling-related options or consistency checks.

Route here

  • Build a network from scratch with pypsa.Network() and n.add(...)/n.remove(...).
  • Inspect or edit component tables through n.components, n.c, n.generators, n.generators_t, or the new Components API.
  • Decide whether attributes are static, time-varying, scenario-specific, or period-specific.
  • Define carriers, buses, generators, loads, lines, links, stores, storage units, transformers, standard types, and global constraints as model inputs.
  • Run n.consistency_check(), n.sanitize(), n.calculate_dependent_values(), n.copy(), or n.equals(...) to validate the model structure before solving.

Route away

  • Import/export, CSV/netCDF/HDF5/Excel/cloud paths, and example-network caching belong to network-io-data.
  • n.optimize(...), Linopy models, solver choices, linear/nonlinear power flow, and infeasibility tracing belong to optimization-powerflow.
  • Statistics, plotting, clustering, maps, charts, and NetworkCollection analysis belong to analysis-visualization.

Operating loop

  1. Create the network and define snapshots before adding time-varying data.
  2. Add explicit Carrier rows for every bus carrier and technology carrier to avoid undefined-carrier warnings.
  3. Add Bus rows before components that reference them; use Link for controllable cross-carrier conversion and Line/Transformer for passive electric branches.
  4. For multiple components with time-varying data, pass a DataFrame whose index is exactly n.snapshots and whose columns are exactly the component names.
  5. Validate with n.consistency_check(...); use n.sanitize() only when adding missing buses/carriers and deterministic carrier colors is acceptable.
  6. Route to optimization or analysis only after the network structure and time-series shapes are clean.

Runtime references and helper

  • API reference explains verified constructor/mutation signatures, Components-store access, old/new API migration points, and static-vs-dynamic shape rules.
  • Component patterns gives self-contained recipes for buses, carriers, one-port components, branches, storage, sector coupling, standard types, periods, and scenarios.
  • Options and consistency covers modeling-relevant PyPSA options, scoped option_context use, consistency checks, sanitize, and stochastic/multi-period validation.
  • Troubleshooting maps common modeling warnings and errors to concrete fixes, including DataFrame shape mismatches and Components API deprecations.
  • Build tiny network helper creates a deterministic self-contained network with carrier rows, optional time series, optional new Components API access, and optional consistency checks.
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