SMIB 3-phase fault (4D, non-segmented)

PARITYS2 · dim 4

No clear winner. The survival gap is under 10 percentage points and the balanced-score gap is under 0.05, so neither SolvSRK nor the best baseline clears the win threshold. Either works — choose on cost, licensing, or integration effort. All verdicts →

4D Single-Machine Infinite-Bus with 3-phase bolted fault. State: [delta, omega, E'q, E'd]. Transient model (Kundur Ch. 4). Fault: V(t)=0 at t=[1.0, 1.1] s. Non-segmented: RHS checks t internally. Tests SolvSRK on piecewise-constant discontinuity.

Power & energy systems

Problem definition

Kundur (1994) Power System Stability and Control, Ch. 4 Table 4.1; Anderson & Fouad (2003)

Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.

Show canonical RHS excerpt
def _smib_3phase_fault_rhs(t: float, y: np.ndarray) -> np.ndarray:
    """SMIB 4-state transient model with piecewise-constant V(t).

    V(t)=0 during [1.0, 1.1] s (bolted 3-phase fault); V_inf otherwise.
    Pe = E'q·Iq + E'd·Id + (X'd − X'q)·Id·Iq (Kundur Eq. 3.131).
    """
    delta, omega, Eq_p, Ed_p = y

    V = 0.0 if _SF_FAULT_ON <= t <= _SF_FAULT_OFF else _SF_Vinf

    Id = (Eq_p - V * np.cos(delta)) / _SF_Xdp
    Iq = (V * np.sin(delta) - Ed_p) / _SF_Xqp
    Pe = Eq_p * Iq + Ed_p * Id + (_SF_Xdp - _SF_Xqp) * Id * Iq

    ddelta = _SF_ws * (omega - 1.0)
    domega = (1.0 / (2.0 * _SF_H)) * (_SF_Pm - Pe - _SF_D * (omega - 1.0))
    dEq_p = (1.0 / _SF_Td0p) * (_SF_Efd - Eq_p - (_SF_Xd - _SF_Xdp) * Id)
    dEd_p = -(1.0 / _SF_Tq0p) * (Ed_p + (_SF_Xq - _SF_Xqp) * Iq)
    return np.array([ddelta, domega, dEq_p, dEd_p])
Parameters
  • _SF_D = 2
  • _SF_Efd = 1
  • _SF_FAULT_OFF = 1.1
  • _SF_FAULT_ON = 1
  • _SF_H = 3.5
  • _SF_Pm = 0.8
  • _SF_Td0p = 8
  • _SF_Tq0p = 1
  • _SF_Vinf = 1
  • _SF_Xd = 1.81
  • _SF_Xdp = 0.3
  • _SF_Xq = 1.76
  • _SF_Xqp = 0.65
  • _SF_ws = 376.991118431
Initial condition
y(0) = [-0.783775959017, 1, 0.75660879129, -1.70350922899]
Horizon
t ∈ [0, 5]

Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.

Fingerprint

Spread: low

Default noise: low

Recommendation snapshot

Clean best: SciPy Radau

Noisy best: SciPy BDF

Coverage

14 solver arms · clean + 5 noise levels

Ranked on survival, precision, and speed

Versions & freeze

Methodology →
Freeze
2026-08-13
libsolvsrk
2.3.0
SciPy
1.14
SUNDIALS
CVODE (bundled backend)

20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: SMIB 3-phase fault (4D, non-segmented) (smib-3-phase-fault-4d-non-segmented)

Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.

Self-reported by Resonix Labs · not independently verified

Results matrix

Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.

Objective

Best overall trade-off of survival, precision, and speed.

Noise level

#SolverSurvivalSCDnfevWallScore
1SciPy RadauSciPy
100%
15.9481 ms0.997
2SciPy BDFSciPy
100%
15.6381 ms0.990
3CVODE BDFexternal
100%
14.3106 ms0.959
4CVODE Adamsexternal
100%
14.3106 ms0.959
5SciPy RK23SciPy
100%
12.520<1 ms0.917
6SciPy LSODASciPy
100%
12.45<1 ms0.915
7SciPy RK45SciPy
100%
9.838<1 ms0.852
8SciPy DOP853SciPy
100%
8.22542 ms0.815
9Tsit5external
100%
7.3204696 ms0.793
10SolvSRK
100%
0.026,6715.95 s0.619

At Clean, best balanced arm is SciPy Radau · SolvSRK survival 100%, SCD 0.0.

Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →

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Cite this page

Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is — a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.

@misc{resonix_evidence_smib_3_phase_fault_4d_non_segmented_2026,
  title        = {Resonix Evidence Portal: SMIB 3-phase fault (4D, non-segmented)},
  author       = {{Resonix Labs (Canada) Inc.}},
  year         = {2026},
  howpublished = {\url{https://resonix.tech/evidence/problems/smib-3-phase-fault-4d-non-segmented}},
  note         = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}

Related

TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels

Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology

Self-reported by Resonix Labs · not independently verified · Verification status