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• W2738668857 abstract "Large wind generation in existing power system increases the requirement of frequency response (FR) services, as the existing wind generators are weak in providing inertial and primary FR (PFR). This necessitates optimal PFR schedules from unit commitment (UC). PFR constrains have been considered in Stochastic UC problem. However, the simulation process is computationally demanding and necessitates a modeling technique with minimal computational burden, to optimize generation and PFR schedules simultaneously, considering wind uncertainty. This paper proposes computationally fast modified interval UC (MIUC) model to minimize the generation scheduling cost and optimize PFR. Uncertainty is modeled using upper and lower limit, while ramp requirements of consecutive hours depend on the net load scenarios. Case studies are carried out on a single area IEEE RTS; comparative analysis with stochastic scheduling technique show that the proposed method can drastically reduce the simulation time, while offering similar level of operating PFR cost, and PFR schedules, thus addressing wind uncertainty at different penetration level adequately. Further, the proposed model has the potential to offer solutions within acceptable operational time frames for the PFR ancillary service market clearing and dispatch for future low carbon systems." @default.
• W2738668857 created "2017-07-31" @default.
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• W2738668857 date "2018-01-01" @default.
• W2738668857 modified "2023-09-24" @default.
• W2738668857 title "Frequency Response Constrained Modified Interval Scheduling Under Wind Uncertainty" @default.
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• W2738668857 doi "https://doi.org/10.1109/tste.2017.2731941" @default.
• W2738668857 hasPublicationYear "2018" @default.
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