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v0.1.0

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@drewgray drewgray released this 30 Mar 02:01
· 11 commits to main since this release

Surge v0.1.0

AC/DC power flow, OPF, contingency analysis, and HVDC solver engine.

Install

Rust:

cargo add surge-ac    # or any of the 11 published crates

Python:

pip install surge-py

CLI:

cargo install surge-bindings

Highlights

  • Full AC Newton-Raphson and Fast Decoupled power flow with KLU sparse factorization
  • DC-OPF, AC-OPF (with Ipopt analytical Hessian), and Security-Constrained OPF
  • N-1/N-2 contingency analysis with LODF screening and parallel execution
  • LCC/VSC HVDC and multi-terminal DC network solving
  • NERC-style ATC/AFC transfer capability analysis
  • 10+ file formats: MATPOWER, PSS/E RAW/DYR, CGMES, XIIDM, UCTE, IEEE CDF, OpenDSS
  • Python bindings with NumPy interop and typed stubs
  • 13-crate workspace, edition 2024, MSRV 1.87

Changelog

Power Flow (surge-ac, surge-dc)

  • AC Newton-Raphson solver with sparse KLU factorization and reactive power
    limit enforcement.
  • AC Newton-Raphson warm-start variant with DC-initialized voltage angles.
  • Fast Decoupled Power Flow (FDPF) with B-prime / B-double-prime splitting.
  • DC power flow (B-theta) with sparse KLU factorization.
  • Linear sensitivity matrices: PTDF, LODF, OTDF, BLDF, GSF, and N-2 LODF.

HVDC (surge-hvdc)

  • LCC and VSC HVDC link modeling with sequential, block-coupled, and hybrid
    AC/DC iteration strategies.
  • Multi-terminal DC (MTDC) network solver with converter loss modeling.

Security and Contingency (surge-contingency)

  • N-1 branch and generator contingency analysis with parallel execution via
    rayon.
  • N-2 branch-pair contingency analysis.
  • LODF-based fast screening with configurable thresholds.
  • P4 and P6 post-contingency post-dispatch workflow support.
  • Local voltage-stress screening for voltage stability assessment.
  • Corrective action modeling with topology and redispatch remediation.

Optimization (surge-opf)

  • DC-OPF via sparse B-theta formulation with LMP extraction from power balance
    duals.
  • AC-OPF via Ipopt NLP with exact analytical Hessian and LMP decomposition
    (energy, congestion, loss components).
  • Security-Constrained OPF (SCOPF) with iterative constraint generation
    (cutting-plane) and penalty slack formulation.
  • Optimal Transmission Switching (OTS) and Optimal Reactive Power Dispatch
    (ORPD).
  • SOCP and SDP relaxation workflows.
  • Pluggable solver backends: HiGHS (bundled), Gurobi, COPT, CPLEX (runtime
    detected), Ipopt (link-time).

Transfer (surge-transfer)

  • NERC-style ATC (Available Transfer Capability) workflows.
  • AFC (Available Flowgate Capability) and multi-transfer studies via DFAX.
  • AC transfer capability with thermal, voltage, and transient stability limits.
  • TPL-001-5.1 compliance report generation (P1-P7 categories).

Network Model (surge-network)

  • Comprehensive power system network model: buses, branches, generators,
    loads, shunts, HVDC links, transformers (2- and 3-winding), switched shunts,
    FACTS devices, storage (unified as generators with StorageParams).
  • Area, zone, and owner metadata for regional analysis.
  • Contingency definition with branch, generator, and HVDC outage types plus
    modification actions (tap, load, generation, shunt adjustments).
  • Flowgate and interface constraint definitions.
  • Versioned native JSON schema (surge-network-json v0.1.0) with Zstandard
    compression and compact binary variants.

Topology (surge-topology)

  • Node-breaker to bus-branch topology projection.
  • Island detection and connectivity analysis.
  • Topology rebuild workflows for retained switching studies.

File Formats (surge-io)

  • MATPOWER .m reader and writer.
  • PSS/E RAW reader and writer (v30-v36) with RAWX support.
  • PSS/E DYR dynamics data reader (130+ model types).
  • PSS/E sequence data reader (zero/positive/negative sequence impedances).
  • CGMES 2.4.15 and CGMES 3.0 (CIM100) reader (29 import waves).
  • XIIDM (PowSyBl) reader and writer including phase tap changers.
  • UCTE .uct reader.
  • IEEE Common Data Format (CDF) reader.
  • OpenDSS .dss reader for 3-phase distribution models.
  • COMTRADE reader for oscillography data.
  • Surge native JSON, compressed JSON (Zstandard), and binary format
    reader/writer.

Sparse Infrastructure (surge-sparse)

  • Compressed Sparse Column (CSC) matrix with COO-to-CSC assembly.
  • KLU sparse LU factorization with symbolic reuse and numeric refactor.
  • Complex KLU solver for Y-bus admittance matrix operations.

Solution Types (surge-solution)

  • Shared result contracts for power flow and OPF outputs.
  • Replay-friendly solved state snapshots.

CLI (surge-bindings)

  • surge-solve binary with solver methods: acpf, acpf-warm, fdpf,
    dcpf, dc-opf, ac-opf, socp-opf, scopf, ots, orpd,
    contingency, n-2, hvdc, injection-capability, nerc-atc.
  • Format auto-detection from file extension.
  • JSON, text, and binary output modes.
  • Solver backend selection via --solver.

Python Bindings (surge-py)

  • surge Python package with typed stubs (.pyi) and py.typed marker.
  • Root-level entry points: solve_ac_pf, solve_dc_pf, solve_dc_opf,
    solve_ac_opf, solve_scopf, analyze_n1_branch,
    analyze_n1_generator, analyze_n2_branch, load, save.
  • Namespaced APIs: surge.powerflow, surge.optimization,
    surge.contingency, surge.transfer, surge.dc, surge.io, surge.batch.
  • NumPy interop for voltage, angle, and sensitivity arrays.
  • Parameter sweep with parallel scenario execution.
  • Custom exception hierarchy (SurgeError base with solver-specific
    subclasses).
  • Python 3.10 through 3.14 support.

Packaging and Build

  • Rust workspace with 13 member crates, edition 2024, MSRV 1.87.
  • Vendored HiGHS 1.13.1 for reproducible LP/QP builds.
  • SuiteSparse/KLU linked for sparse factorization.
  • Release profile: opt-level=3, fat LTO, single codegen unit.
  • Generic public wheel builds: Linux x86_64, Linux aarch64, macOS aarch64,
    Windows x86_64.
  • Optional targeted GitHub Release wheel artifacts for x86-64-v4.
  • PolyForm Noncommercial 1.0.0 license with commercial dual-license option.

Documentation

  • 8 user tutorials with Jupyter notebook companions.
  • 15 per-crate reference guides.
  • Architecture, validation evidence, and method fidelity documentation.
  • CLI reference, Python API surface guide, and quickstart.
  • Packaged example cases (IEEE 118-bus, ACTIVSg10k, pglib cases) in native
    format with provenance records.

License

PolyForm Noncommercial 1.0.0. Commercial licensing available — contact licensing@amptimal.com.