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Learning goals

Reading

Why direct methods belong in a SciML course

SciML surrogates speed trajectories and CCT search. Direct methods give an independent physics-based estimate of clearing margin under simplified models. Comparing search-based CCT to a classical estimate (when valid) catches criterion bugs and overconfident surrogates.

Equal-area idea (classical SMIB sketch)

For a highly idealized SMIB (constant mechanical power, no damping, classical “before / during / after” network strengths), the equal-area criterion balances accelerating and decelerating areas in the PP–δ\delta plane. The critical clearing angle (and thus CCT, given fault-on dynamics) is the clearing angle at which the decelerating area just matches the accelerating area.

Teaching use:

  1. State the assumptions explicitly.

  2. Compute or look up the classical critical clearing angle / time for a chosen SMIB case.

  3. Run Lab 5-style bisection with the same stability rule as elsewhere.

  4. If assumptions hold and the rule is first-swing oriented, expect rough agreement; investigate large disagreements.

Do not treat equal-area as a general certificate for damped, multi-machine, or converter-rich cases.

Energy-function / Lyapunov ideas (preview)

Lyapunov-style transient energy functions compare “energy” after clearing to a critical energy associated with a stability boundary. They motivate direct TSA and CCT without a long time-domain sweep — under a stated model and energy function.

For this course:

Relation to Labs and surrogates

ToolRole
Reference TDS + bisectionOperational CCT under a stated rule (Lab 5 core)
Equal-area / classical energyIndependent check when assumptions allow
Trajectory surrogate + same ruleFast repeat of the search (Lab 2 → Lab 5)

Same rule across all three. Trajectory RMSE alone does not validate CCT.

Lab

Further reading

Common misconceptions

References
  1. Kundur, P., & Malik, O. P. (2022). Power System Stability and Control (Second). McGraw-Hill Education. https://openlibrary.org/isbn/9781260473544
  2. Kundur, P., Paserba, J., Ajjarapu, V., Andersson, G., Bose, A., Canizares, C., Hatziargyriou, N., Hill, D. J., Stankovic, A., Taylor, C., Van Cutsem, T., & Vittal, V. (2004). Definition and Classification of Power System Stability IEEE/CIGRE Joint Task Force on Stability Terms and Definitions. IEEE Transactions on Power Systems, 19(3), 1387–1401. 10.1109/TPWRS.2004.825981
  3. Hatziargyriou, N., Milanovic, J., Rahmann, C., Ajjarapu, V., Canizares, C., Erlich, I., Hill, D., Hiskens, I., Kamwa, I., Pal, B., Pourbeik, P., Sanchez-Gasca, J., Stankovic, A., Van Cutsem, T., Vittal, V., & Vournas, C. (2021). Definition and Classification of Power System Stability – Revisited & Extended. IEEE Transactions on Power Systems, 36(4), 3271–3281. 10.1109/TPWRS.2020.3041774