- Title
- A hybrid method for transient stability-constrained optimal power flow computation
- Creator
- Xu, Yan; Dong, Zhao Yang; Meng, Ke; Zhao, Jun Hua; Wong, Kit Po
- Relation
- IEEE Transactions on Power Systems Vol. 27, Issue 4, p. 1769-1777
- Publisher Link
- http://dx.doi.org/10.1109/TPWRS.2012.2190429
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2012
- Description
- A hybrid method combining classical deterministic programming technique and evolutionary algorithm (EA)-enhanced stochastic optimization strategy is proposed for more effective and flexible computation of transient stability-constrained optimal power flow (TSC-OPF). The method consists of searching the maximum TSC-feasible solution region with EA and deterministically optimizing an operating point in the found region via a conventional OPF solution. Stability constraints are exactly treated by a rigorous transient stability assessment (TSA) procedure, where complex system model and multi-contingency can be readily considered and stability margin is applied as the transient stability index (TSI) to avoid over-stabilizing. Benefiting from both the EA and the deterministic programming, the proposed method can continuously approach the global optima in a robust, reliable and fast-convergent way. The method is verified on the New England test system and a dynamic equivalent system of a real-world large power grid. Comparing with existing methods, it has provided more economic solutions and better adaptability to multi-swing instability and multi-contingency stabilizing. It can also be a unified approach for solving other stability constrained-OPFs.
- Subject
- deterministic programming; evolutionary algorithm; optimal power flow; stability margin; transient stability
- Identifier
- http://hdl.handle.net/1959.13/1051868
- Identifier
- uon:15330
- Identifier
- ISSN:0885-8950
- Language
- eng
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