96 lines
2.2 KiBLFS
Markdown
96 lines
2.2 KiBLFS
Markdown
---
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schema_version: '1.3'
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metadata:
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author_name: Wenbo Chen
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author_email: wenbochen111@gmail.com
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difficulty: medium
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category: industrial-physical-systems
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subcategory: ac-optimal-power-flow
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category_confidence: high
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task_type:
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- optimization
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- verification
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modality:
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- json
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interface:
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- terminal
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- python
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skill_type:
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- domain-procedure
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- mathematical-method
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tags:
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- energy
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- system-operation
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- ac-optimal-power-flow
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- non-convex-optimization
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verifier:
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type: test-script
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timeout_sec: 240.0
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service: main
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hardening:
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cleanup_conftests: true
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agent:
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timeout_sec: 3600.0
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environment:
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network_mode: public
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build_timeout_sec: 600.0
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os: linux
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cpus: 2
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memory_mb: 8192
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storage_mb: 10240
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gpus: 0
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---
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As an operator-planner in an Independent System Operator, you create a base case for tomorrow's peak hour each morning in order to establish the voltage profile and verify that the day-ahead market schedule is AC-feasible. In order to do this, you should use the model described in `math-model.md` to find a least-cost, AC feasible operating point and then produce a report in `report.json`. The report should follow the structure below with all power values in MW or MVAr, angles in degrees, voltages in per-unit.
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```json
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{
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"summary": {
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"total_cost_per_hour": 1234567.89,
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"total_load_MW": 144839.06,
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"total_load_MVAr": 29007.78,
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"total_generation_MW": 145200.00,
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"total_generation_MVAr": 32000.00,
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"total_losses_MW": 360.94,
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"solver_status": "optimal"
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},
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"generators": [
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{
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"id": 1,
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"bus": 316,
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"pg_MW": 245.5,
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"qg_MVAr": 50.0,
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"pmin_MW": 0.0,
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"pmax_MW": 491.0,
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"qmin_MVAr": -246.0,
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"qmax_MVAr": 246.0
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}
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],
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"buses": [
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{
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"id": 1,
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"vm_pu": 1.02,
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"va_deg": -5.3,
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"vmin_pu": 0.9,
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"vmax_pu": 1.1
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}
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],
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"most_loaded_branches": [
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{
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"from_bus": 123,
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"to_bus": 456,
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"loading_pct": 95.2,
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"flow_from_MVA": 571.2,
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"flow_to_MVA": 568.1,
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"limit_MVA": 600.0
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}
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],
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"feasibility_check": {
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"max_p_mismatch_MW": 0.001,
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"max_q_mismatch_MVAr": 0.002,
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"max_voltage_violation_pu": 0.0,
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"max_branch_overload_MVA": 0.0
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}
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}
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```
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