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- W4377087254 abstract "As introduced in Chapter 5, each type of transient stability-constrained optimal power flow (TSC-OPF) solution method has its advantages and disadvantages. This chapter presents a hybrid method combining classical deterministic programming technique and evolutionary algorithm (EA)-enhanced stochastic optimization strategy for more effective and flexible computation of 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." @default.
- W4377087254 created "2023-05-20" @default.
- W4377087254 date "2023-05-19" @default.
- W4377087254 modified "2023-10-12" @default.
- W4377087254 title "Hybrid Method for Transient Stability‐Constrained Optimal Power Flow" @default.
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- W4377087254 doi "https://doi.org/10.1002/9781119848899.ch6" @default.
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