Random Fictional Power Grid Topology Generator

Description

Construct a connected imaginary generator/junction backbone and leaf consumer attachments; topology only, explicitly not electrical feasibility, load flow, or installation guidance.

Worldbuilding fixtures describe an invented setting through supplied entities and explicit relations. A reproducible arrangement can support games or writing exercises while keeping constructed history and geography separate from factual claims about the real world.

Construct a connected imaginary generator/junction backbone and leaf consumer attachments; topology only, explicitly not electrical feasibility, load flow, or installation guidance.

When to use this tool

Use this generator to create reproducible fictional power grid topology cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

Supply nodes, candidates, extraBackboneLinks in the field shapes below. Set seed when you need an explicit replay.
Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
Read nodes, edges, consumerAttachments, componentCount, electricalFeasibilityAssessed, fictional. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.

Construct a connected generator/transmission backbone from eligible candidate links and attach every consumer to one available backbone neighbor. Return attachments, graph evidence, and electricalFeasibilityAssessed false.^[1]

Input field	Meaning and units	Accepted input
nodes	Nodes	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
nodes[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
nodes[].role	Role	Required. Text; one of "generator", "junction", "consumer".
candidates	Candidates	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 64.
candidates[].from	From	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
candidates[].to	To	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
extraBackboneLinks	Extra Backbone Links	Required. Safe integer; minimum 0; maximum 64.
seed	Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.	Optional. Safe integer.

Output field	Interpretation	Returned shape
nodes	Nodes	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
nodes[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
nodes[].role	Role	Required. Text; one of "generator", "junction", "consumer".
edges	Edges	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 64.
edges[].from	From	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
edges[].to	To	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
consumerAttachments	Consumer Attachments	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 15.
consumerAttachments[].consumerId	Consumer Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
consumerAttachments[].parentId	Parent Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
componentCount	Component Count	Required. Safe integer; minimum 1; maximum 1.
electricalFeasibilityAssessed	Electrical Feasibility Assessed	Required. Boolean; exactly false.
fictional	Fictional	Required. Boolean; exactly true.
randomness	Replay source and normalized 32-bit seed, or null seed for an advancing context source.	Required. Object; no unknown keys.
randomness.seed	Optional safe-integer replay seed; normalization and precedence are explained below.	Required. Safe integer. or Null.
randomness.source	Source	Required. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json

{
  "input": {
    "nodes": [
      {
        "id": "g",
        "role": "generator"
      },
      {
        "id": "j",
        "role": "junction"
      },
      {
        "id": "c",
        "role": "consumer"
      },
      {
        "id": "d",
        "role": "consumer"
      }
    ],
    "candidates": [
      {
        "from": "g",
        "to": "j"
      },
      {
        "from": "j",
        "to": "c"
      },
      {
        "from": "g",
        "to": "d"
      },
      {
        "from": "j",
        "to": "d"
      }
    ],
    "extraBackboneLinks": 0,
    "seed": 42
  },
  "output": {
    "nodes": [
      {
        "id": "g",
        "role": "generator"
      },
      {
        "id": "j",
        "role": "junction"
      },
      {
        "id": "c",
        "role": "consumer"
      },
      {
        "id": "d",
        "role": "consumer"
      }
    ],
    "edges": [
      {
        "from": "g",
        "to": "j"
      },
      {
        "from": "c",
        "to": "j"
      },
      {
        "from": "d",
        "to": "g"
      }
    ],
    "consumerAttachments": [
      {
        "consumerId": "c",
        "parentId": "j"
      },
      {
        "consumerId": "d",
        "parentId": "g"
      }
    ],
    "componentCount": 1,
    "electricalFeasibilityAssessed": false,
    "fictional": true,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

This is fictional topology only. It does not calculate load flow, generation capacity, protection, voltage, or electrical safety. A generator and feasible backbone/consumer links must be supplied.
A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

Tool behavior and example: Random Fictional Power Grid Topology Generator — tool.io

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